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Natural Language Processing Data Scientist VA Boston Healthcare System Boston, MA 02130 On-site (Full-time, in-person) This position is based within VA Boston Healthcare System, a leading healthcare system in New England that serves as a premier referral center and a major recipient of research funding. The informatics group is dedicated to leveraging data science and clinical data to conduct high-impact research aimed at expanding our understanding of human health and improving healthcare outcomes. We are seeking a Natural Language Processing (NLP) Data Scientist with expertise in (1) information extraction using advanced NLP methodologies and (2) natural language data curation to help design and lead rigorous research that informs real-world healthcare decisions. In this role, you will conceptualize research questions, build and maintain robust natural language datasets and NLP pipelines, and develop innovative approaches to determine how healthcare interventions affect patient outcomes. You will apply NLP methodologies to extract complex clinical data from unstructured text sources for incorporation into extensive clinical datasets used for research that can guide clinical practice, policy decisions, and improvements in healthcare delivery for patients. Working with one of the largest integrated medical records databases in the United States—containing comprehensive clinical information on more than 22 million patients—you will collaborate with multidisciplinary teams of clinicians, statisticians, NLP researchers, and data scientists to investigate pressing healthcare questions. You will identify key variables to extract from medical texts, design annotation frameworks, and lead dataset creation efforts for the development of reliable, accurate ground truth data, and will develop and maintain corresponding pipelines using a range of NLP algorithms to reliably extract these variables and transform them into structured data. This role offers the opportunity to design impactful studies, develop rigorous pipelines, and translate complex data into insights that influence healthcare policy, clinical practice, and patient outcomes. Your work will contribute directly to evidence-based improvements in care for patients while advancing the scientific application of NLP in large-scale healthcare data. PRIMARY DUTIES: Lead the planning, design, and implementation of advanced information extraction and analysis techniques within a healthcare domain, applying NLP approaches in Python. Direct the creation, annotation, and management of high-quality, validated natural language datasets using tools such as Label Studio, maintaining data quality and integrity throughout the project lifecycle. Develop, maintain, and optimize robust data and algorithm pipelines, overseeing the end-to-end management of data processes in accordance with data science lifecycle best practices. Contribute to continual improvement of the group’s NLP and data science infrastructure, creating reusable codebases and resources for interdisciplinary use across studies and projects involving researchers, engineers, and clinicians. Collaborate with clinicians, data scientists, and other stakeholders to guide and execute research initiatives, providing technical input as a subject matter expert to leverage NLP methodologies to address complex clinical requirements. Effectively prioritize and manage multiple concurrent projects, tracking progress and ensuring timely completion of project milestones and deliverables. Communicate analytical findings, project results, and insights to diverse stakeholders through written reports, presentations, and scientific manuscripts tailored to technical and non-technical audiences. Stay current with advancements in NLP, machine learning, and data science, implementing best practices to continuously improve the quality, efficacy, and impact of research and analytic activities. MINIMUM QUALIFICATIONS: MUST be a US Citizen and MUST clear a US government background check Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. – OR – Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience. NOTE: Reference OPM website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/) PREFERRED QUALIFICATIONS: Experience with locally hosted open-source LLMs (such as GPT-OSS, Llama, and Mixtral) and LLM-based pipelines in python for information extraction. Experience with natural language dataset creation through expert annotation and data pipeline development/maintenance. Experience with SQL/relational databases. Experience with Git/Github. Previous experience with healthcare data and electronic medical records is highly preferred. Strong verbal and written communication skills. Ability to convey complex statistical concepts to non-statistical audiences effectively. Experience reading and writing scientific manuscripts. Ability to work effectively in multidisciplinary teams and manage multiple collaborative research projects. Strong analytical skills and the ability to solve complex problems independently. Passion for advancing healthcare research through innovative use of data. NOTE: This posting is for candidate identification only. Resumes will be reviewed, and a shortlist may be interviewed. Any final recommendations for hire will be submitted to VA Human Resources for qualification review. POINT OF CONTACT FOR POSITION: Applicants should submit a cover letter, resume/CV (must clearly identify employment dates, full-time or part-time, and number of hours worked per week for all positions listed in the work experience section), and transcripts, with “NLP Data Scientist” in the subject line to: Karlynn.Dulberger@va.gov Please confirm US citizenship in your cover letter. EEO/Equal Opportunity Employer Pay: $120,548.00 - $156,718.00 per year Benefits: Dental insurance Employee assistance program Flexible spending account Health insurance Health savings account Life insurance Paid time off Retirement plan Vision insurance Work Location: In person

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In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below: Develop data preparation tasks, while identifying patterns or anomalies. Ensure data readiness for advanced modeling. Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions. Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices. Design and develop predictive models and data-driven analyses to address business challenges. Build, evaluate, and deploy models, standardize code, and contribute to knowledge management. Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions. Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance. Proactively maintain models and implement improvements for accuracy and reliability. Apply governance controls to mitigate risks and ensure compliance. Analyze performance trends, recommend improvements, and document discrepancies for escalation. Maintain comprehensive documentation standards, while participating in knowledge transfer sessions. Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models. Apply the predefined quality measurement framework at an individual task level in the project. Deploy complex analytics tools or multi-system integration, while validating deployment success. Participate in developing scripts or templates for repeated deployments tasks. Contribute to analytic solutions, IP asset creation, and training initiatives. Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts. Participate in and deliver analytics training, while contributing to content creation. Provide input for segment and unit-level business plans. Your contribution to the team: Deliver scalable, high-quality analytics solutions aligned to business needs. A knack for optimization, deployment and performance improvement of models. The ability to drive innovation through advanced analytics, automation and thought leadership. Enable team growth through knowledge sharing, training and standardization. Support business planning with data-driven insights.

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NVIDIA, widely recognized as one of the world’s most desirable employers, believes open-weight models are foundational to American AI leadership, cybersecurity, and defense through broad scientific scrutiny. As part of this mission, our AI Safety & Security Engineering team builds and evaluates AI-powered tooling that finds, validates, and patches software vulnerabilities, recognizing that finding a bug is only the beginning. We are seeking a Security Research Engineer to advance our Validate and Patch capabilities by establishing what counts as a confirmed vulnerability and defining what constitutes a truly correct, safe fix. In this critical role, you will apply rigorous security judgment to well-defined categories of vulnerabilities. These affect NVIDIA-internal targets. You will turn complex analysis into repeatable methods that improve software people rely on daily. Validation here requires meticulous care to confirm reports are real and reachable rather than noise, while patching requires ensuring fixes repair flaws, protect existing behavior, and hold up under strict revalidation. Working alongside harness and evaluation engineers, you will establish high engineering standards, document your reasoning for independent security reviews, and ensure your methods run reliably with fully traceable evidence. AI-assisted workflows are an integral part of this job, but so is maintaining a healthy, disciplined skepticism about their outputs. Beyond immediate fixes, your work will teach the entire program what trustworthy patching looks like while actively helping decide which vulnerability classes the team tackles next. Ultimately, we hold our results to an exceptionally high bar and value specific, verifiable proof of your technical expertise—such as CVEs, advisories, or original security tools—over polished phrasing. What You'll Be Doing: Validation methods: Develop techniques that confirm vulnerabilities are real and reachable. Patch methods: Advance approaches for generating and verifying safe fixes. Quality standards: Define correctness, regression, and revalidation standards with reviewers. Applied research: Work bounded vulnerability classes against internal targets. What We Need To See: Bachelor's degree (or equivalent experience) with 12+ years in security research or software engineering. Security foundations: Hands-on vulnerability research, fuzzing, program analysis, or secure development in C, C++, or Python. Fix quality: Rigor about what makes a fix correct and safe, including regression and behavior preservation. AI-assisted workflows: Comfort using AI-assisted tools for analysis and development. Ways to Stand Out from the Crowd: Public research: CVEs, advisories, or publications in vulnerability research. Analysis tooling: Experience building or extending fuzzers, static analyzers, or symbolic-execution tools. Agentic ML: Familiarity with LLM-based coding or analysis agents. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Confidential Computing and Data. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Applied AI Researcher to join our team in Jersey City, New Jersey (US-NJ), United States (US). Applied AI Researcher GenAI / NLP / Agentic AI / Applied Machine Learning Bridge advanced AI research and practical enterprise use cases by validating models, methods, and prototypes that can become production-grade AIRP solutions. The role focuses on measurable business value, rigorous experimentation, model behavior, and safe translation of research into banking-relevant applications. Client-specific emphasis Research must be grounded in enterprise business use cases, not generic AI experimentation. Candidates should understand how model, retrieval, data, evaluation, latency, cost, and safety decisions affect production delivery on AIRP. Cloud/AWS awareness is valuable because successful research outputs must be handed off to engineering teams building on AWS-hosted AIRP. Primary ownership Applied research agenda for LLMs, NLP, RAG, evaluation, multimodal AI, and agentic workflows relevant to enterprise use cases. Prototypes, experiments, benchmark design, model-selection recommendations, and production-readiness evidence. Research-to-production handoff with AI engineering, AIRP platform, product, risk, and governance teams. Key responsibilities Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI. Design experiments to evaluate model performance, robustness, safety, scalability, interpretability, enterprise usefulness, and production feasibility. Prototype AI solutions for KYC, credit underwriting, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening. Develop evaluation methodologies using golden datasets, adversarial testing, offline benchmarks, human review, business outcome metrics, and risk-specific acceptance criteria. Assess prompt optimization, RAG, fine-tuning, instruction tuning, synthetic data generation, distillation, and model adaptation techniques. Document model limitations, data assumptions, hallucination patterns, bias risks, performance boundaries, and control recommendations for regulated deployment. Collaborate with engineers to convert prototypes into production-ready AIRP requirements, including latency, cost, observability, security, and AWS/cloud deployment considerations. Track emerging AI research and translate relevant advances into practical recommendations for the enterprise. Basic Qualifications: Advanced degree preferred, usually MS or PhD in AI, ML, computer science, statistics, computational linguistics, mathematics, or related field. 3+ years of experience in machine learning, deep learning, NLP, transformers, information retrieval, and generative AI. 3+ years of experience with LLMs, embeddings, RAG, model evaluation, and applied GenAI experimentation. 3+ years of experience in Python with PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent research frameworks. 3+ years of experience designing rigorous experiments and communicating findings to technical, product, business, risk, and governance stakeholders. 3+ years of experience translating research results into production requirements suitable for an AWS-hosted enterprise platform. Preferred experience Research or applied science experience in banking, finance, compliance, risk, legal, operations, financial crime, sanctions, or enterprise knowledge systems. Experience with AWS Bedrock, SageMaker, vector search, MLflow, Databricks, model evaluation tooling, or cloud-based experimentation environments. Publications, patents, internal research contributions, open-source AI contributions, or prior research-to-production handoffs. Familiarity with Responsible AI, model validation, privacy constraints, audit documentation, and regulated deployment environments. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $104,904 - $182,125 per year. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. #LI-NorthAmerica, #DataFID About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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Overview As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA The AI Engineer III is responsible for designing, developing, and implementing artificial intelligence (AI) solutions to solve complex problems and enhance business processes. This role involves working closely with cross-functional teams to incorporate AI technologies into various applications and systems. This position involves designing, building and deploying AI models and algorithms, as well as training them with large datasets. This position will collaborate with cross-functional teams to develop innovative AI solutions to enhance existing systems. Advanced knowledge of AI technologies and software engineering are essential for this role. This position is not responsible for providing care to patients. Corporate Overview: The University of Utah is a Level 1 Trauma Center and is nationally ranked and recognized for our academic research, quality standards and overall patient experience. Our five hospitals and eleven clinics provide excellence in our comprehensive services, medical advancement, and overall patient outcomes. Responsibilities Essential Functions Develops, tests, and maintains AI models and systems for incorporation with software development, testing, and infrastructure operations. Collaborates with data scientists, software engineers, and other stakeholders to integrate AI solutions into existing systems. Develops, deploys and manages AI systems in production environments, and configures system settings for optimal performance and reliability. Implement sand enhances continuous delivery processes for AI solutions. Conducts research to stay current with the latest advancements in AI and machine learning. Optimizes and fine-tunes AI models for improved performance and scalability. Develops and maintains comprehensive documentation for AI models and systems. Troubleshoots and resolves issues related to AI models and their deployment. Provides technical guidance and mentorship to junior team members. Creates and maintains monitoring solutions for AI systems and services. Supports AI projects and models in production systems. Assists in evaluating products and services for AI functionalities. Knowledge / Skills / Abilities Knowledge of modern software deployment methodology, including two or more of: continuous integration, continuous delivery, test-driven development, Agile/Scrum. Familiarity with one or more version control systems like Git or Perforce. Background in system administration or software development within a team setting. Basic understanding of centralized configuration systems. Strong proficiency in programming languages, such as Python, R, or Java. Skilled in using machine learning frameworks and libraries. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with cloud platforms and services like AWS, Azure, and Google Cloud. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work both independently and collaboratively. Qualifications Required Bachelor's degree in Computer Science, Engineering, or a related field. Three (3) years of experience in AI development, or related experience. Qualifications (Preferred) Preferred Experience with coding agents (e.g., Claude Code, Codex, Gemini CLI) and frontend experience, particularly React. Working Conditions and Physical Demands Employee must be able to meet the following requirements with or without an accommodation. This is a sedentary position that may exert up to 10 pounds and may lift, carry, push, pull or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions. Physical Requirements Carrying, Climbing, Color Determination, Crawling, Far Vision, Lifting, Listening, Manual Dexterity, Near Vision, Non Indicated, Pulling and/or Pushing, Reaching, Sitting, Speaking, Standing, Stooping and Crouching, Tasting or Smelling, Walking Multi-lingual Candidates Welcomed To inquire about this posting, email: careers@hsc.utah.edu EEO Statement University of Utah Health Hospitals and Clinics, a part of The University of Utah, values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patient populations. All qualified individuals are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. University of Utah Health Hospitals and Clinics, a part of The University of Utah, is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability, please contact the University of Utah Health Hospitals and Clinics Human Resources office at 801-581-6500. If you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at:www.utah.edu/nondiscrimination/ Online reports may be submitted atoeo.utah.edu/ The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Hospitals and Clinics Human Resources at (801) 581-6500 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or Hospitals and Clinics Human Resources at (801) 581-6500 if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. Requisition Number 84989 Reg/Temp Regular Employment Type Full-Time Shift Day Work Schedule 8-5 Clinical/Non-Clinical Status Non-Clinical Location Name Information Technology Services Workplace Set Up Hybrid City SALT LAKE CITY State UT Department COS ISC 17A ITS AI SERVICES Category Information Technology Workplace Set Up Hybrid

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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location San Francisco CA Your Role The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation. Key Responsibilities Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering). Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures. Build and support AI agents, autonomous systems, and agentic workflows. Deploy, monitor, and optimize AI models in production using MLOps practices. Design and maintain data pipelines, data lakes, and data warehouses. Monitor model performance, troubleshoot issues, and manage data/model drift. Collaborate with business and technical teams to align AI solutions with organizational objectives. Create reusable assets, demos, and proof-of-concepts to support innovation and business development. Required Skills and Experience A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production. Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field. 3-5 years of experience in AI, Machine Learning, Data Science, or Application Development. Experience with production AI deployments, MLOps, model monitoring, and cloud platforms. GPT, Claude LLM, Stable Diffusion LangChain TensorFlow PyTorch Scikit-learn RAG (Retrieval-Augmented Generation) AI Agents & Agentic Workflows API Development REST APIs JSON HTTP Requests Authentication & Tokens Error Handling & Debugging The base compensation range for this role in the posted location is $90,000- $160,000 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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Job Title: Data Scientist (Locations available in: Warminster, PA, Hilliard, OH, Plymouth, MI, and Burnsville, MN) Department: Finance Accountability: This Position Reports to the Senior Manager, Financial Planning & Analytics We are building a next-generation analytics capability at the intersection of data, finance, operations, and strategy. The Data Scientist will support this effort by developing practical, scalable analytics, machine learning, and AI-enabled solutions that improve decision-making, strengthen reporting accuracy, and enhance business performance. This role combines data engineering, database design, statistical modeling, business intelligence, and process improvement to transform complex structured and unstructured data into timely, meaningful insights. Working closely with Finance, Operations, IT, and other business stakeholders, the Data Scientist will gather requirements, define analytical approaches, build and validate models, automate data workflows, and deliver reporting tools that support efficient and effective business operations. This is an excellent opportunity for an early-career professional with approximately 3–5 years of relevant experience who is highly analytical, technically capable, business-minded, and motivated by the opportunity to apply emerging AI technologies to real-world business challenges. Primary Responsibilities: Partner with Finance, Operations, IT, and functional leaders to understand business objectives, document requirements, assess current-state processes, and recommend data-driven solutions that improve efficiency, accuracy, and decision-making. Design, develop, test, and maintain analytical models, predictive tools, reporting datasets, and AI-enabled solutions using Microsoft, SQL, Python/R, LLM, and related technologies. Build, maintain, and optimize ETL/ELT pipelines that ingest, cleanse, transform, and validate data from multiple internal and external sources, including structured and unstructured datasets. Develop dashboards, recurring reports, self-service analytics tools, and executive-level visualizations that translate complex data into clear, actionable business insights. Apply machine learning, statistical analysis, forecasting, classification, optimization, and other advanced analytical methods to support planning, performance management, operational improvement, and strategic initiatives. Provide technical guidance for data and analytics initiatives, ensuring solutions align with business priorities, data governance expectations, security practices, documentation standards, and scalable architecture principles. Support enterprise-level data workflows, system interfaces, third-party software integrations, and modernization efforts, including evaluating legacy system risks and recommending long-term improvements. Troubleshoot data quality, database, reporting, software, and infrastructure issues; optimize SQL queries, report performance, and data refresh processes; and escalate complex matters to vendors or internal stakeholders as needed. Conduct code reviews, validate analytical outputs, promote reusable development practices, and help establish standards for data definitions, model documentation, testing, version control, and deployment. Communicate findings, recommendations, risks, and tradeoffs clearly to technical and non-technical audiences, ensuring stakeholders understand both analytical results and practical business implications. Job Requirements Minimum of 3 years of experience in data analysis, data science, systems analysis, business intelligence, financial analytics, or a related role; experience applying ML/AI concepts in a business environment strongly preferred. Bachelor’s degree in Data Science, Computer Science, Information Systems, Finance, Quantitative Methods, Statistics, Engineering, or a related discipline; an equivalent combination of education and relevant experience may be considered. Strong foundation in SQL, relational databases, data warehousing, data modeling, data validation, and workflow orchestration. Demonstrated analytical and problem-solving ability, including the capacity to evaluate ambiguous business issues, identify root causes, and propose practical technical solutions. Ability to collaborate effectively with cross-functional stakeholders, end users, IT partners, and third-party vendors to deliver high-quality, sustainable analytics and system solutions. Strong communication skills, including the ability to explain technical concepts, analytical assumptions, model outputs, and business recommendations in a clear and audience-appropriate manner. Strong time-management, organization, and prioritization skills, with the ability to work independently, manage multiple concurrent initiatives, and meet deadlines in a dynamic environment. High attention to detail and a commitment to producing accurate, reliable, repeatable, and well-documented work. Working understanding of accounting, finance, and business operations terminology, including bookings, shipments, sales versus revenue, COGS, OpEx, debits, credits, and related reporting concepts. Working knowledge of ERP transaction flows, preferably within Microsoft Dynamics NAV/Business Central; experience with manufacturing, distribution, or inventory-related data is helpful. Technical Requirements Advanced proficiency with Microsoft-based data, reporting, and development technologies, including SQL Server and related database tools. Hands-on experience with machine learning and AI concepts, including model development, evaluation, automation, prompt-based or LLM-enabled workflows, and responsible use of AI outputs. Strong experience with relational database design, SQL development, stored procedures, triggers, query optimization, indexing strategies, and performance tuning. Proficiency with at least one scripting or statistical programming language, such as Python, R, or a comparable tool, for data processing, automation, modeling, and analysis. Strong preference for hands-on experience with Power BI, including dataset design, DAX, report development, dashboard publishing, refresh management, and performance optimization; comparable visualization tools may be considered. Experience with Git or other version control systems; familiarity with CI/CD practices for data pipelines, analytics assets, reports, or software development preferred. Working knowledge of Access, Oracle databases, Syspro ERP, or related enterprise applications preferred. Knowledge of data storage strategies, partitioning, indexing, data retention, data quality controls, and governance considerations a plus. Demonstrated ability to translate complex business requirements into scalable technical designs, data models, reports, integrations, and automation solutions. Experience integrating ERP, financial, operational, or other enterprise-grade systems with reporting, analytics, or data warehouse environments. Understanding of software security, access controls, testing practices, model validation, peer review, release management, and documentation standards. Work Environment – Office-Based Role (PA/OH/MI/MN/IN locations possible) This role is primarily performed in a professional office environment and requires regular collaboration with cross-functional business partners. Occasional access to manufacturing, warehouse, or production areas may be required; applicable safety protocols and personal protective equipment requirements must be followed. Prepared by: Human Resources Approved by: Senior Manager, FP&A

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Work Location: Southfield, Michigan, United States of America Hours: 40 Pay Details: $148,720 - $223,080 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: The Principal Data Scientist is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning. In addition, the Principal Data Scientist provides technical expertise with a focus on bank and industry-wide solutions that addresses capability gaps to create opportunities for significant value for customers. Own end-to-end decisioning and pricing optimization engine, use large-scale historical and market data to form hypotheses, conduct analyses, develop machine learning models, evaluate and implement model and drive business decisions Analyze large-scale data and apply statistical models to recommend insights and solve business objectives Collaborate with business partners to identify and refine business strategies, analyze alternative deal structures and deliver business P&L expectations Stay up to date on industry trends and optimization methodologies in auto finance markets Depth & Scope: Delivers advanced analytical capabilities above and beyond existing methods Exceptionally leads and runs analytical projects autonomously and creates and effectively delivers analytical presentations for executive audiences/stakeholders Showcases advance level peer leadership, impacts and influences partner, and may mentor/coach peers Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques Acts as a key business partner, guides and collaborates with business leaders to prioritize and identify key business needs and provides impactful analytical insights Leads authority on Data Science concepts, principals, practices and standards Thought leader on IT risk-based approaches to Data Science Sets the direction and oversees the work of other Data Science professionals on complex, highly visible projects of significant profile, strategic importance, and enterprise impact to the bank Provides consultative and strategic guidance to executive leadership Principal Data Science assigned to work autonomously on high profile, complex and high-risk technology initiatives with significant impact to the organization Primarily works at the enterprise level Education & Experience: Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or; 10+ year of relevant experience; higher degree education and research tenure can be counted Customer Accountabilities: Works closely with business owners to identify opportunities and serves as an ambassador for data science Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business Provides deep technical leadership and expertise to support and define future direction in one or more specialized areas or leads strategic development efforts on new or emerging data science related projects Plays a lead role on cross functional teams of data scientists, data analysts, data engineers, and business process owners to build cutting edge analytic solutions Shareholder Accountabilities: Provides analytical thought leadership and stays current on developments in data mining and the application of data science Provides thought leadership and/or broad industry knowledge across multiple business/functional areas or across the enterprise Applies industry/analytical expertise to provide innovative and sound solutions that increases business results and/or minimizes risk Identifies new analytical trends/data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and creates analytical models that help answer impactful business questions Protects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessary Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics Adheres to enterprise frameworks or methodologies that relates to activities for business area Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite Employee/Team Accountabilities: Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques Participates in personal performance management and development activities, including cross training within own team Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships Contributes to a fair, positive and equitable environment that supports a diverse workforce Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% Domestic Travel – Occasional International Travel – Never Performing sedentary work – Continuous Performing multiple tasks – Continuous Operating standard office equipment - Continuous Responding quickly to sounds – Occasional Sitting – Continuous Standing – Occasional Walking – Occasional Moving safely in confined spaces – Occasional Lifting/Carrying (under 25 lbs.) – Occasional Lifting/Carrying (over 25 lbs.) – Never Squatting – Occasional Bending – Occasional Kneeling – Never Crawling – Never Climbing – Never Reaching overhead – Never Reaching forward – Occasional Pushing – Never Pulling – Never Twisting – Never Concentrating for long periods of time – Continuous Applying common sense to deal with problems involving standardized situations – Continuous Reading, writing and comprehending instructions – Continuous Adding, subtracting, multiplying and dividing – Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact. We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best. Training & Onboarding We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. Interview Process We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. The Strategic Data Scientist at CoverMyMeds makes a meaningful contribution to the success of our company. This role contributes to value proposition refinement and supports key customer teams by providing world-class analytics and insight into our vast store of live data. The SDS will focus on maximizing time spent on high-value, client-impacting insights by prioritizing work that directly drives commercial outcomes. This position collaborates extensively with business units and channels across the company and supports the business goals of external clients. Our ideal candidate is curious, thrives in a changing environment, and turns data into clear, actionable insights for customers and colleagues: Build trusted relationships with CSTs and external clients by using data stories to demonstrate the value of CMM products. Deliver proactive analyses of portfolio performance, customer needs, and business risks or opportunities, including market and industry events. statistical methods and predictive modeling to analyze product data, identify drivers, and forecast outcomes. Monitor portfolio health, provide stakeholder updates and business reviews, and escalate issues as needed. Present clear, actionable insights through concise client-facing visuals and recommendations. Identify opportunities to improve product value and analytical efficiency. Support complex client requests and issue escalations in partnership with account teams. Contribute insights that inform strategic and tactical decisions across competitive positioning, product design, analytics, and operations. Develop expertise in CoverMyMeds, the pharmaceutical industry, and the business context of supported accounts. Priority will be given to candidates who live in the Columbus, OH metropolitan area We are unable to provide sponsorship for this role presently or in the future. Critical Skills and Minimum Qualification BA/BS degree or equivalent experience in data analytics, business, public health, or related field; healthcare experience strongly preferred. 5-7 years of experience in an analytics role in healthcare/Pharma industry preferred. Understanding of data science methodologies including decision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc. Experience or understanding of statistical software (PYTHON, R, MATLAB, SAS, etc.) Curious problem solver by nature; able to quickly make sense of complex data issues. Driven, self-motivated, team player adept at working in environment with competing priorities. Experience with data mining, analysis, and providing insights. Adept at creating queries, writing reports, and presenting findings. Intermediate to Advanced proficiency in SQL. Intermediate to Advanced proficiency in data visualization tools e.g., Excel, Tableau, etc. Able to communicate and manage expectations. Preferred Skills Industry Expertise – Specifically in Insurance, Pharmaceutical, or Healthcare. Collaboration – Key success factors in this role include leading without direct authority, building relationships across multiple functions, and listening to input and perspectives from across the organization, customers, and industry stakeholders. Passion - The candidate should have a passion for improving US healthcare and a desire to join a team that focuses every day on enabling healthier lives through the work that we do. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, Our Base Pay Range for this position $108,800 - $181,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com. McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

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Position Description: CGI is looking to hire a highly skilled Gen AI Engineer with deep traditional AI/ML expertise, including model development, data science, MLOps, and model validation, along with exposure to GenAI and agentic AI patterns such as RAG, orchestration, tool integration, and governed workflow automation. This role will require someone at our client site 5 days a week in Pittsburgh, PA, Cleveland, OH, or Dallas, TX. For this role on this particular client engagement, employer sponsorship of immigration is not available. Duties and Responsibilities: .Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI. .Strong experience in building and deploying predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale .Develop robust and scalable pipelines for data preprocessing, model training, and deployment. .Strong programming skills in Python and in similar languages. .Familiarity with machine learning frameworks like PyTorch. .Hands on experience with generative AI models such as GPT. .Understanding of MLOps practices for building scalable AI pipelines. .Solid understanding of natural language processing (NLP) and AI ethics. .Translate complex requirements into scalable and efficient architecture .Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments .Excellent Communication and Leadership qualities to work independently with minimal supervision. Requirements: Bachelor's degree in computer science, computer engineering, or relevant field. .A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects .Strong knowledge data architecture in banking domain. .4+ Years Work Experience in Python, Mongo .Strong hands on experience with Microsoft Azure .Integrate LLMs with enterprise datasets using Azure Open AI. .Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP) .ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment .GenAI: Knowledge in LLM Models, Langchain , Hugingface .Excellent organizational and analytical abilities. .Outstanding problem solver. .Good written and verbal communication skills #LI-SG2 #DICE Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $70,800.00 $156,700.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 $176,300.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs Skills: AutoGen Azure Communication Generative AI GraphQL Jenkins LangGraph Large Language Model (LLM) Machine Learning Model Context Protocol Client Model Context Protocol Servers Model Prototyping Python MongoDB What you can expect from us: Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.

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Core Qualifications Ability to interpret complex datasets, identify trends, and communicate outcomes effectively to both technical and business audiences. Experience supporting end users and stakeholders with system functionality, governance processes, and user access-related activities. Comfortable working in a fast-paced environment with shifting priorities while maintaining high-quality deliverables. Strong problem-solving capabilities, attention to detail, and the ability to manage multiple initiatives simultaneously. Effective communicator with demonstrated leadership skills and sound judgment in decision-making. Advanced Microsoft Excel skills and familiarity with enterprise technologies such as Microsoft 365, directory services, reporting platforms, and workflow automation tools. Exposure to identity governance or entitlement management solutions is a plus. Practical knowledge of AI technologies and their application to improving business operations, increasing efficiency, and reducing manual effort. Understanding of responsible AI practices and risk considerations is preferred. Working knowledge of regulatory and security control frameworks commonly used in enterprise environments. Experience developing scripts, automations, or process improvements using tools such as PowerShell, Python, or comparable technologies. Education & Experience Bachelor's degree in Information Systems, Cybersecurity, Computer Science, or a related discipline; equivalent professional experience will also be considered. Position Summary This role supports enterprise identity and access governance efforts through data analysis, process optimization, and automation initiatives. The successful candidate will help strengthen access management controls, improve operational efficiency, and support regulatory compliance objectives. Key Responsibilities Coordinate and administer access review and validation activities to help maintain appropriate system permissions and governance controls. Review user entitlement and identity-related data to identify inconsistencies, risks, and opportunities for improvement. Design and implement automation solutions that reduce manual effort and enhance operational effectiveness. Partner with business units, technology teams, and compliance stakeholders to support access management initiatives. Provide guidance on governance processes, user access management practices, and related system capabilities. Assist in maintaining and improving access control standards aligned with organizational security and compliance requirements. Present findings, metrics, and recommendations to stakeholders in a clear and actionable manner. Serve as a resource for operational decision-making, process improvement efforts, and risk mitigation activities.

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Join Macquarie’s Cyber Threat Incident Response team as a Cyber Threat Detection Engineer. This team is responsible for detecting, identifying, triaging, and mitigating threats and risks in our global cyber environment. You will be part of a highly skilled, distributed team protecting our global infrastructure. We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you’re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future. What role will you play? As a Cyber Threat Detection Engineer, you will play a critical role in developing and evolving our threat and intel-informed defensive capabilities. You will be responsible for designing, building, and implementing effective detection mechanisms and content to identify advanced cyber threats across our large and complex enterprise environment. You will blend traditional security analysis with software development practices to automate and scale our threat detection lifecycle. What you offer 3–5 years of cybersecurity experience in detection engineering, security operations, or incident response, with a proven ability to triage, investigate, and respond to cyber threats Strong threat detection and hunting expertise, including deep knowledge of threat actor tactics, techniques, and procedures (TTPs), the MITRE ATT&CK framework, vulnerabilities, and exploits, and how they manifest across diverse log sources and security artifacts Extensive hands-on experience with SIEM and security analytics platforms such as Splunk ES, Google SecOps, and Sumo Logic, building and tuning detection logic and conducting threat hunting within medium-to-large enterprise environments Proficient in Detection-as-Code practices, leveraging software development skills, Git-based version control, CI/CD pipelines, automation tools, and platforms such as GitHub, Bitbucket, and CloudBees to develop, manage, and deploy scalable detections Strong understanding of enterprise security technologies and modern tooling, including cloud platforms (AWS, Azure, GCP), firewalls, EDR, proxies, and emerging AI-powered coding assistants (e.g., GitHub Copilot, Claude Code), paired with an analytical mindset focused on innovation, problem-solving, and continuous improvement of detection fidelity. We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. What we offer At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year and a minimum of 25 days of annual leave 20 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers 2 days of paid volunteer leave and donation matching Benefits and initiatives to support your physical, mental and financial wellbeing such as medical, prescription drug, dental, and vision insurance; health savings account and dependent day care savings account; life insurance, disability, and other insurance plans; 401(k) and short/long term disability Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Recognition and service awards Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Technology Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions. Inclusion at Macquarie We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance. We provide reasonable accommodation to individuals who may need support during the recruitment process and employment. If you require an accommodation, please let us know during the application process.

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MANTECH seeks a motivated, career and customer-oriented Senior Cloud Information System Security Engineer (ISSE) to join our team in Washington, D.C., Chantilly, VA or Quantico, VA. Responsibilities include, but are not limited to: Identify information protection needs for an IS and Network Environment. Define IS and Network Environment security requirements in accordance with applicable cybersecurity requirements Design security architectures for use within the IS and Network Environment. Design and develop cybersecurity-enabled products for use within an IS and Network Environment Integrate and/or implement security with Cross Domain Solutions (CDS) for use within an IS and Network Environment Develop and implement security designs for new or existing network system(s). Ensure that the design of hardware, operating systems, and software applications adequately address cybersecurity requirements for the IS and Network Environment Design, develop, and implement network security measures that provide confidentiality, integrity, availability, authentication, and non-repudiation. Design, develop, and implement specific cybersecurity countermeasures for the IS and Network Environment Develop interface specifications for the IS and Network Environment. Develop approaches to mitigate IS and Network Environment vulnerabilities and recommend changes to network or network system components as needed Ensure that network system(s) designs support the incorporation of FBI directed cybersecurity vulnerability solutions Minimum Qualifications: Must meet one of the following levels of experience: A high school diploma/GED and 14 years’ experience, an Associate’s degree and 10 years’ experience, a Bachelors degree and 8 years’ experience, or a Master’s and 6 years’ experience. Hold at least one of the following certifications: Certified Information Systems Security Professional (CISSP) (or Associate), CompTIA Advanced Security Practitioner (CASP) CE, Certified Secure Software Lifecycle Professional (CSSLP), CISSP- Information System Security Engineering Professional (ISSEP), Certified Information System Manager (CISM), or CISSP- Information System Security Architecture Professional (ISSAP). Hold at least one of the following certifications: AWS Certified Cloud Practitioner, AWS Certified Security – Specialty, (ISC)2 Certified Cloud Security Professional (CCSP), AWS Certified Solutions Architect – Associate, AZ-500: Microsoft Certified: Azure Security Engineer Associate, Google - Professional Cloud Security Engineer. Familiarity with the use and operation of security tools including: Tenable Nessus and/or Security Center, IBM Guardium, HP WeblInspect, Network Mapper (NMAP), and/or similar applications. Working knowledge of the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) and ATO processes. Preferred Qualifications: Degree in Computer Science, Cybersecurity, or other cyber discipline. Clearance Requirements: Must have a current/active Top Secret security clearance and be willing and able to obtain SCI eligibility prior to start. Selected candidate must be willing to undergo a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50% Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer Often positions self to maintain computers in the lab, including under the desks and in the server closet Frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

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Global Ordnance is a premier defense solutions provider delivering mission-ready products and logistics support to the US Military and partner nations worldwide. With deep expertise in international procurement, compliance, and end-to-end supply chain management, Global Ordnance specializes in sourcing and delivering high-quality defense systems, munitions, and specialized equipment with speed, precision, and integrity. Our highly talented, agile and hardworking team understands the complexities of US and allied defense contracting, helping GO grow to one of the regions largest defense contractors and one of Tampa Bay’s fastest growing companies year over year. As we continue our growth we are seeking professionals to join our team, we offer highly competitive total compensation packages including company paid (100%) medical and dental insurance for our employees as well as their families, competitive salaries, bonus programs, retirement plans and much more. Job Summary This critical position is for a highly skilled and experienced Cybersecurity Engineer who will play a key role in protecting the organization's sensitive data and systems. The ideal candidate is a proactive and detail-oriented professional with a deep understanding of cybersecurity best practices, compliance frameworks, and cutting-edge security technologies. This role requires a broad range of technical skills, including expertise in data loss prevention (DLP), SharePoint administration across multiple tenants in compliance with all regulations, cloud security (specifically within Microsoft 365 environments, including GCC High), data tagging and migration, and vulnerability management. This individual will be responsible for working with a team implementing and maintaining robust security controls, responding to security incidents, and ensuring the organization's compliance with relevant regulations and industry standards. The Cybersecurity Engineer will be a key contributor to strengthening our security posture, minimizing risks, and fostering a culture of security awareness. This position requires the ability to work independently, as well as collaboratively within a team, and to effectively communicate technical concepts to both technical and non-technical stakeholders. The successful candidate will thrive in a fast-paced environment and be comfortable managing multiple priorities while maintaining a high level of accuracy and attention to detail. This role offers the opportunity to make a significant impact on the organization's security posture and contribute to a growing and dynamic team. Essential Duties & Responsibilities Cybersecurity Policy Implementation and Maintenance: o Develop, implement, and maintain cybersecurity policies, procedures, and standards in accordance with industry best practices and regulatory requirements (e.g., NIST 800-171 Rev 3, ISO 27001,GDPR, UK Cyber Essentials, etc.). o Ensure compliance with relevant regulations and frameworks. o Conduct regular reviews and updates of security policies. Data Loss Prevention (DLP): o Design, implement, and manage DLP solutions to protect sensitive data. o Monitor DLP alerts and investigate potential data breaches. o Fine-tune DLP policies to minimize false positives and maximize effectiveness. o SharePoint Administration (Multi-Tenant): o Administer and maintain SharePoint environments across three tenants. Manage user access, permissions, and security settings. Implement and enforce security policies within SharePoint. Troubleshoot SharePoint related security issues. GCC High Tenant Implementation: o Assist in the planning, implementation, and configuration of a new GCC High tenant. o Ensure security best practices are followed during the migration process. o Collaborate with other teams to integrate GCC High with existing systems. Data Tagging and Migration: o Implement data tagging strategies to classify and categorize sensitive information in alignment with both best practices and compliance programs. o Plan and execute data migration projects, ensuring data integrity and security. o Automate data tagging and migration processes where possible. o Automate process and workflows for secure sharing with only vetted and approved users. Vulnerability Management: o Monitor security alerts and vulnerability scans. o Analyze vulnerability reports and prioritize remediation efforts. o Implement timely patches and fixes to address identified weaknesses. o Track and report on vulnerability remediation progress. o Respond to security incidents and breaches. Security Awareness Training: o Contribute to the development and delivery of security awareness training programs. o Educate employees on best practices for cybersecurity. Collaboration & Communication: o Collaborate with other IT teams and business units to ensure security is integrated into all aspects of the organization. o Communicate effectively with technical and non-technical stakeholders. o Provide regular updates on security status and initiatives. o Perform other work as directed by Management. Qualifications & Requirements Required Qualifications: Candidates must meet Authorized US Persons criteria under ITAR – candidates must be either US Citizen, Lawful Permanent Resident or other certain protected authorized asylees. Additionally, qualified candidates may not be otherwise disbarred from having access to ITAR controlled information. Current US Government Secret Clearance (or higher) is required. Bachelor's degree in Computer Science, Cybersecurity, or a related field. Proven experience in cybersecurity engineering, preferably in a regulated industry. Strong understanding of cybersecurity frameworks and regulations (e.g., NIST, ISO 27001, HIPAA, etc.) and GRC tools. Expertise in data loss prevention (DLP) technologies. Extensive experience in SharePoint administration, including multi-tenant environments. Hands-on experience with Microsoft 365 security features. Experience with GCC High implementation and management is highly desirable. Knowledge of data tagging and classification techniques. Relevant degrees, skilled trades certifications or licenses preferred 1 to 3 years of relevant experience. Experience with DoD acquisition process, and DoD contracting requirements preferred Demonstrated ability to build and maintain relationships with government officials, defense organizations, and industry stakeholders Excellent communication, negotiation, and presentation skills Self-starter with strong analytical and problem-solving skills Ability to work independently and as part of a team in a fast-paced and dynamic environment Willingness to travel domestically ISO 9001:2015 training preferred Proficient in the use of Microsoft Office suite (Word, Excel, Outlook, PowerPoint, and Project) Preferred Qualifications: Relevant certifications (e.g., CISSP, CISM, Security+, Microsoft certifications). Experience with scripting languages (e.g., PowerShell, Python). Knowledge of cloud security best practices. Experience with security information and event management (SIEM) systems. Physical Demands & Abilities Ability to walk, stand, use computers, lift or exert upwards of 25lbs occasionally, 10lbs frequently. Regularly spend long hours sitting and using office equipment and computers Regularly move from sitting to standing positions effortlessly Occasional travel This job description is not intended to be all-inclusive, and employees will also perform other reasonably related business duties as assigned by immediate supervisor and other management as required. Global Ordnance reserves the right to revise or change job duties and descriptions as the need arises. This job description does not constitute a written or implied contract of employment. As all employment with Global Ordnance LLC is At-Will and no part of this job description constitutes any promise of continued employment or employment contract. Global Ordnance, LLC is an Equal Opportunity Employer and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status. PI286023808

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Position Overview We are seeking a Senior Cybersecurity Engineer to provide hands‑on leadership for our corporate IT security environment, while also supporting cybersecurity efforts within our manufacturing (OT) environments. This role is primarily focused on enterprise IT security, with additional responsibility for supporting OT security initiatives in partnership with Engineering and Automation teams. In addition to deep technical ownership, this role plays a key part in executing the cybersecurity roadmap, coordinating with external security partners, and advising IT leadership on security strategy and architecture decisions. The ideal candidate is a technically strong, self‑directed security professional who enjoys owning security platforms end‑to‑end, improving detection and response capabilities, and working cross‑functionally to reduce cyber risk across both business and manufacturing systems. Key Responsibilities Corporate IT Security Design, implement, and maintain enterprise cybersecurity controls across on‑premises, cloud, and hybrid environments. Own and administer security platforms including SIEM/MDR/XDR, Endpoint Detection & Response (EDR), and Identity & Access Management (MFA, PIM/PAM). Lead threat detection, alert tuning, threat hunting, and incident response activities. Secure and monitor Azure and Microsoft 365 environments. Investigate and remediate security incidents; provide on‑call support for cybersecurity events as needed. Generate security metrics and reports to support risk management, audits, and continuous improvement. Evaluate and recommend security tools and enhancements aligned with business and technology needs. Manufacturing / OT Security Support Support cybersecurity efforts in manufacturing and OT environments through applied security controls and monitoring. Assist with extending enterprise security visibility and detection into OT‑relevant systems where appropriate. Support secure remote access and vendor access controls for manufacturing support scenarios. Partner with Engineering, Automation, and Networking teams on OT security improvements such as segmentation and access controls. Participate in OT‑related incident response activities with emphasis on safety, uptime, and operational continuity. Note: This role supports OT security through hands‑on security controls and partnership but is not a full‑time OT systems or controls engineering role. Security Roadmap & Leadership Act as a project lead for key initiatives within the cybersecurity roadmap. Plan, execute, and track cybersecurity initiatives, communicating progress, risks, and outcomes to IT leadership. Partner with IT leadership to prioritize initiatives based on risk, business impact, and resource availability. Architecture, Risk & Compliance Conduct security reviews, vulnerability assessments, and risk analyses. Support internal and customer‑driven security audits. Maintain and contribute to security policies, standards, and documentation aligned with frameworks such as NIST and ISO 27001. Research emerging threats and technologies to continuously improve security posture. Collaboration & Advisory Role Partner closely with the Head of IT Infrastructure to oversee and coordinate external cybersecurity partners, including SOC, penetration testing providers, and managed service providers. Work directly with the CIO and IT Infrastructure leadership as a trusted advisor, contributing to cybersecurity strategy, architecture decisions, and long‑term planning. Communicate security risks, initiatives, and recommendations to both technical teams and executive leadership. Mentor team members and promote cybersecurity best practices across the organization. Support and contribute to enterprise security awareness initiatives. Qualifications Required Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Engineering, or related field (or equivalent experience). Senior‑level experience in cybersecurity engineering or security operations. Strong hands‑on experience with enterprise IT security technologies. Experience with SIEM, incident response, identity security, endpoint protection, and cloud security. Ability to work independently, manage multiple priorities, and communicate effectively with both technical and non‑technical stakeholders. Preferred Exposure to manufacturing or OT environments. Familiarity with ICS/SCADA concepts. Security certifications such as CISSP, CISM, GIAC/GICSP, Security+, or Microsoft Security certifications. Experience supporting audits and writing security policies or standards. Why Join Us Opportunity to own and shape enterprise cybersecurity in a manufacturing environment Blend of hands‑on technical work and strategic influence Direct exposure to IT leadership and executive decision‑making Ability to drive meaningful improvements across IT and manufacturing security Travel Limited; occasional travel to manufacturing facilities as needed. Pay: $105,000.00 - $125,000.00 per year Benefits: 401(k) matching Health insurance Paid time off Work Location: In person

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About the Role We are looking for a Senior AI Engineer with 4+ years of software experience to design, deploy, and scale our Generative AI systems, RAG pipelines, and agentic workflows into enterprise production environments. What You’ll Do Build AI Applications: Architect production-ready GenAI applications, RAG pipelines, and multi-agent workflows. Orchestration & Infrastructure: Integrate LLMs using frameworks like LangChain/LangGraph and manage vector databases (Pinecone, Qdrant, Pgvector). Optimization & MLOps: Fine-tune prompts, reduce latency/costs, and monitor performance using LLMOps tools (LangSmith, MLflow). Deploy & Scale: Build robust REST APIs (FastAPI) and containerize services (Docker, Kubernetes) on AWS/Azure/GCP. Requirements 4+ years of professional software engineering experience (2+ years in production AI/ML or LLM systems). Python Mastery: Strong expertise in Python, FastAPI, and async backend development. GenAI Tech Stack: Hands-on experience with OpenAI/Claude APIs, vector databases, and orchestration tools (LangChain, LlamaIndex, LangGraph). Cloud & DevOps: Proficiency with Docker, CI/CD, and AWS, Azure, or GCP. Pay: $95,000.00 - $150,000.00 per year Work Location: Remote

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About us We are professional, agile and our goal is to provide consulting services that exceed our customers expectations. Position Summary We are seeking two experienced Data Scientists / Palantir Data Engineers to support the acceleration of Navy ERP+ SAP data migration through the development of advanced analytics and data engineering solutions within the Palantir Foundry platform. In this role, you will build scalable data quality and migration capabilities that improve the accuracy, transparency, and efficiency of enterprise SAP migration efforts. This role is ideal for professionals who enjoy solving complex enterprise data challenges and leveraging Palantir Foundry to deliver high-impact analytics, data quality improvements, and mission-critical SAP migration capabilities. Required Security Clearance Active U.S. Secret Security Clearance Ability to maintain clearance throughout employment U.S. Citizenship required. Dual citizenship not permitted Key Responsibilities Design, develop, and maintain data engineering pipelines and analytics solutions using Palantir Foundry. Build large-scale data profiling capabilities to assess SAP ERP data quality and readiness for migration. Develop automated anomaly detection models to identify data inconsistencies, duplicates, and integrity issues. Create data cleansing, matching, and standardization workflows to improve migration quality. Design reconciliation controls to validate migrated data and ensure completeness and accuracy. Develop migration dashboards, KPIs, and reporting solutions that provide stakeholders with real-time migration metrics. Collaborate with functional SAP, ERP, and business teams to define migration requirements and data quality rules. Optimize data pipelines for performance, scalability, and reliability. Support data governance, metadata management, and lineage within Palantir Foundry. Assist with testing, validation, and deployment of migration analytics solutions. Document technical designs, data models, and operational procedures. Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field. 3+ years of experience in data engineering, data science, analytics, or enterprise data management. Hands-on experience with Palantir Foundry. Experience working with SAP ERP data, particularly in migration or modernization initiatives. Strong SQL skills and experience developing scalable ETL/ELT pipelines. Proficiency in Python, Spark, or similar data engineering technologies. Experience performing: Data profiling Data quality assessment Data cleansing Record matching and deduplication Data reconciliation Knowledge of enterprise data modeling and metadata management. Experience developing dashboards and data visualizations. Strong analytical, troubleshooting, and problem-solving skills. Excellent written and verbal communication skills. Preferred Qualifications Experience supporting Department of Defense (DoD) or U.S. Navy programs. Familiarity with Navy ERP or large federal ERP modernization efforts. Experience with SAP S/4HANA migration projects. Knowledge of Master Data Management (MDM) concepts. Experience with cloud-based data platforms (AWS, Azure, or Google Cloud). Familiarity with Agile software development methodologies. Active Secret or higher security clearance (or ability to obtain one). Technical Skills Palantir Foundry SAP ERP / SAP S/4HANA SQL Python Apache Spark ETL/ELT Development Data Quality Frameworks Data Profiling Data Governance Data Reconciliation Data Matching & Deduplication Dashboard Development Git REST APIs Cloud Data Platforms (preferred) What You'll Deliver Scalable Palantir Foundry data engineering solutions Automated data profiling and anomaly detection capabilities Data cleansing and matching workflows Migration reconciliation controls Executive dashboards and migration metrics High-quality, trusted data that accelerates Navy ERP+ SAP migration success Job Type: Full-time Pay: $120,000.00 - $160,000.00 per year Benefits: 401(k) 401(k) matching Flexible schedule Health insurance Paid time off Retirement plan Vision insurance Application Question(s): Do you have a US Citizenship without having a dual citizenship elsewhere? Education: Bachelor's (Preferred) Work Location: Remote

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Overview In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day and we need you as a Security Operations Engineer -Cloud Security Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a Network Security Service Engineer you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. You will implement and operate modern cloud and on premises cybersecurity controls to defend Microsoft datacenter critical infrastructure from threat actors. Leveraging multiple solutions and partnering with internal and external teams, you will be at the forefront of advancing industrial network cybersecurity capabilities. Through on the job learning and bi-directional mentorship, this opportunity will allow you to gain cyber defense, automation, and networking skills and experiences that are rare in both networking and security organizations, and in high demand across multiple industries. This is a flexible work opportunity for you to work from home partially or fully if desired. As a group, CO+I is focused on personal and professional development for all employees and offers trainings and growth opportunities including Career Rotation Programs, Diversity & Inclusion trainings and events, and professional certifications. Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider. Do you want to empower billions across the world? Come and join us in CO+I and be at the forefront of the action! Responsibilities Proactively identify and investigate potential issues and patterns in security controls and recommend mitigation strategies, while also surfacing opportunities for automation to improve efficiency and effectiveness across the network. Install, upgrade, and maintain security hardware, operating system and software. Identify gaps in security policy and administration, recommend solutions, and implement new and revised security standards, while working with partner teams to drive consistency and awareness. Maintain standards and drive improvements for our customer and partner experience, responding appropriately to emerging issues and advocating for our customer experience through analyzing key metrics, performance indicators, and other data sources (e.g. bugs, unhealthy data pipeline). Escalate, recommend improvements as appropriate to address gaps. Participate in on-call rotation to support security services. With minimal guidance, analyze attempted or successful efforts to compromise systems security and, alongside partner teams, create recommendations to limit exposure, implement response plans, and take action. Analyze potential or actual intrusions identified from monitoring activities and create detections based on available data (e.g., Indicators of Compromise [IOC] and Tools Tactics Procedures [TTP]). Design, deploy, and operate cloud security controls including WAF, NSG, Azure Firewall, Defender for Cloud, PIM, Key Vault, and network isolation patterns — with minimal supervision Drive Infrastructure-as-Code and automation (Bicep, Terraform, PowerShell, Azure Policy) to enforce baselines, eliminate manual toil, and make cloud-security changes auditable and repeatable at fleet scale. Investigate and resolve cloud-security incidents in your area of ownership, participate in the on-call rotation, and lead postmortems that convert findings into durable engineering improvements. Other Embody our culture and values. Qualifications Required Qualifications: Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 1+ year(s) experience in cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), or operations incident response OR Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field AND 2+ years experience in cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), or operations incident response OR equivalent experience. Background Check Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: CISSP, CISA, CISM, SANS, GCIA, GCIH, OSCP, PCCSE, PCNSE, PCSAE, CCNP Security, CCIE Security and/or Security+ certification. Any experience with industrial control systems is preferred (not mandatory) Security Operations Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.

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Pay Range: $83,200.00 - $124,800.00 Please email HR_Talent_AcquisitionTeam@bcbsri.org if you are a candidate seeking a reasonable accommodation for the application and/or interview process. At BCBSRI, our greatest resource is our people. We come from varying backgrounds, different cultures, and unique experiences. We are hard-working, caring, and creative individuals who collaborate, support one another, and grow together. Passion, empathy, and understanding are at the forefront of everything we do—not just for our members, but for our employees as well. We recognize that to do your best work, you have to be your best self. It’s why we offer flexible work arrangements that include remote and hybrid opportunities and paid time off. We provide tuition reimbursement and assist with student-loan repayment. We offer health, dental, and vision insurance as well as programs that support your mental health and well-being. We pay competitively, offer bonuses and investment plans, and are committed to growing and developing our employees. Our culture is one of belonging. We strive to be transparent and accountable. We believe in equipping our associates with the knowledge and resources they need to be successful. No matter where you’re at in the organization, you’re an integral part of our team and your input, thoughts, and ideas are valued. Join others who value a workplace for all. We appreciate and celebrate everything that makes us unique, from personal characteristics to past experiences. Our different perspectives strengthen us as an organization and help us better serve all Rhode Islanders. We’re dedicated to serving Rhode Islanders. Our focus extends beyond providing access to high-quality, affordable, and equitable care. To further improve the health and well-being of our fellow Rhode Islanders, we regularly roll up our sleeves and get to work (literally) in communities all across the state—building homes, working in food pantries, revitalizing community centers, and transforming outdoor spaces for children and adults. Because we believe it is our collective responsibility to uplift our fellow Rhode Islanders when and where we can, our associates receive additional paid time to volunteer. Why this job matters: Blue Cross & Blue Shield of Rhode Island is seeking an innovative and detail-oriented security professional to join its Information Security team. This role is responsible for assessing, monitoring, and mitigating security, privacy, compliance, and operational risks associated with third-party vendors, delegates, and AI-enabled solutions. The successful candidate will support the organization's Enhanced Vendor Oversight (EVO) and AI governance programs by conducting risk assessments, reviewing vendor controls and AI use cases, communicating risk findings to stakeholders, supporting remediation efforts, and helping ensure alignment with organizational policies, regulatory requirements, and industry best practices. What you Will Do: Conduct security, privacy, and risk assessments of third-party vendors, delegates, and AI-enabled solutions to identify potential risks and vulnerabilities. Collaborate with business and technology stakeholders to ensure third-party and AI-related practices align with organizational policies, regulatory requirements, and governance standards. Review and analyze security attestations, certifications, and supporting documentation (e.g., SOC 2, HITRUST, ISO certifications) to assess vendor risk. Maintain vendor and AI risk inventories, portfolios, engagement records, risk assessments, and related documentation. Evaluate third-party and AI vendor controls related to cybersecurity, data protection, privacy, regulatory compliance, model governance, and secure development practices. Provide risk mitigation recommendations and support remediation activities to improve vendor and AI security posture. Support implementation and monitoring of Enhanced Vendor Oversight (EVO), AI governance requirements, standards, and risk management processes. Stay informed on emerging threats, industry best practices, regulatory developments, and evolving risks related to third-party security, AI, and technology governance. What you need to succeed : Preferred: Bachelor’s degree in Cybersecurity, Information Security, Information Technology, Risk Management, or similar areas of study from an accredited college or university. OR a high school diploma combined with strong industry experience and/or candidates currently enrolled in a bachelor’s degree program will be considered. 3+ years of relevant industry experience ideally focused in vendor management, third-party risk management, or related enhanced vendor oversight tasks. Experience evaluating technology, cybersecurity, privacy, or third-party risks associated with Artificial Intelligence (AI), machine learning, generative AI, or emerging technologies is preferred. Relevant certifications are preferred, such as CISSP, CISA, CRISC, or equivalent, but are not required. The Extras: Advanced knowledge of Microsoft Office; including Outlook, Word, Excel, and PowerPoint. Understanding of Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and related technology risks. Knowledge of AI governance frameworks and industry best practices. Familiarity with the NIST Artificial Intelligence Risk Management Framework (NIST AI RMF). Familiarity with ISO/IEC 42001 Artificial Intelligence Management Systems (AIMS). Understanding of AI-related regulatory, privacy, security, and ethical considerations. Experience reviewing AI vendor security questionnaires, AI governance documentation, AI model risk documentation, or AI-related control environments. Strong analytical and organizational skills. Effective oral and written communication skills. Must be a self-driven, team player. Ability to work independently and as part of a team. Knowledge of healthcare industry regulations and standards is a plus. Location: BCBSRI is headquartered in downtown Providence, conveniently located near the train station and bus terminal. We actively support associate well-being and work/life balance and offer the following schedules, based on role: In-office : onsite 5 days per week Hybrid: onsite 2-4 days per week Remote: onsite 0-1 days per week. Permitted to reside in the following states, pending approval from the Human Resources Department: Arizona, Connecticut, Florida, Georgia, Louisiana, Massachusetts, North Carolina, Oklahoma, Rhode Island, South Carolina, Texas, Virginia Our culture of belonging at Blue Cross & Blue Shield of Rhode Island (BCBSRI) is at the core of all we do, and it strengthens our ability to meet the challenges of today’s healthcare industry. BCBSRI is an equal opportunity employer. The law requires an employer to post notices describing the Federal laws. Please visit www.eeoc.gov/know-your-rights-workplace-discrimination-illegal to view the "Know Your Rights" poster.

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Department: Innovation and Technology Department Salary: $114,294.00 - $164,298.19 Commensurate with Experience Welcome to the City of Charlotte Charlotte is America’s Queen City, opening her arms to a diverse and inclusive community of residents, businesses and visitors alike. Here you will find a safe, family-oriented city where people work together to help everyone thrive. The mission of the City of Charlotte is to deliver quality public services and promote the safety, health, and quality of life for all residents. Our guiding principles include: Attracting and retaining a skilled and diverse workforce Valuing teamwork, openness, accountability, productivity, and employee development Providing all customers with courteous, responsive, accessible, and seamless quality services Taking initiative to identify, analyze, and solve problems Collaborating with stakeholders to make informed decisions SUMMARY Responsible for protecting information systems by managing compliance, coordinating response to cyber security incidents, and researching and maintaining awareness of the latest cyber threats and vulnerabilities. This position will work with all City technology teams to ensure that necessary technical security requirements are met. As a member of the Innovation and Technology Cyber Security team, this individual will focus on operational-related security initiatives to support technology infrastructure, and/or enterprise applications and services while also facilitating the use of technology to ward off attempts by attackers who are targeting sensitive consumer and corporate information. This individual will work with the Cyber Security team to automate cyber security processes and plan, develop, and coordinate cyber security projects as needed. Essential duties & responsibilities Coordinate and execute security tasks related to technology projects or initiatives. Configure and install cyber security systems to include scheduling and attendance of afterhours maintenance windows. Produce cyber security architectures and documentation. Conduct maintenance and monitoring of cyber security systems. Provide advanced support in response to cyber security incidents. Develop remediation plans for any gaps reported in audits or recommended process improvements. Collaborate with City departments to manage security vulnerabilities or investigations. Conduct security research in keeping abreast of latest security issues. Coordinate with managed security services to implement security initiatives. Coordinate and execute security tasks related to Innovation and Technology security requests. Provide advanced support in evaluation and implementation of cyber security requirements for technology systems. Develop scripts and software to automate cyber security processes. Must be able to work efficiently, expeditiously and independently with limited supervision. Perform other related duties as assigned. Knowledge of: Experience with Splunk Enterprise Security, including Search and Reporting, adding new log sources, developing custom parsing rules, administrating forwarders, and deployment servers. Experience with Security Information and Event Management (SIEM) Experience with combining AI and ML models with broader system architectures, including cloud-based infrastructure, software applications, and APIs. Experience with cloud security concepts, including the ability to assess existing cloud implementations for security issues, engineering and implementing new cloud security tools, and providing security expertise for DevOps teams. Technologies, including building, administering, operating, and tuning such systems. Experience with IT system security review processes, including threat modeling, and other risk identification techniques. Experience with IT system auditing processes for compliance with applicable policies, standards, and regulations. Experience with security product evaluation, including requirements development and proof of concept execution. Experience with project management concepts, including the ability to coordinate and execute IT security projects. Experience with secure system architecture development, including evaluation of system architectures for security threats, advising IT project teams on necessary security measures, and diagraming architectures. Experience with system administration, including management of a system’s hardware and software, performing routine maintenance, troubleshooting problems, and management of a system’s full lifecycle. Skill In: Strong analytical and problem-solving skills to tackle complex, multi-layered challenges. Interpersonal skills necessary to develop and maintain effective and appropriate working relationships. Excellent communication and interpersonal skills. Able to communicate technical subject matter to an audience with limited technology background. Cross-platform skillsets, able to navigate and troubleshoot issues in any modern operating system (Linux, MacOS, Windows). Competent with PowerShell, Python, and JavaScript scripting languages. Applying modern cryptography best practices and certificate management. Identifying, analyzing, and evaluating cybersecurity threats and applying software controls to mitigate those risks. Minimum Qualifications High School Graduate or Equivalent and seven (7) years of related work experience OR 2 Year College Degree and five (5) years of related work experience OR Bachelor's Level Degree and three (3) year of related work experience OR Master's Level Degree and one (1) years of related work experience or an equivalent combination of education and relevant experience that provides the necessary knowledge, skills, and abilities to successfully perform the essential job duties. CONDITIONS OF EMPLOYMENT The City’s Background Check Policy requires background checks to be conducted on final internal or external candidate(s) applying for any position with the City of Charlotte. The type of information that will be collected as part of a background check includes, but is not limited to: reference checks, social security verification, education verification, criminal conviction record check, and, if applicable, a credit history check, sex offender registry and motor vehicle records check. Background checks must be in compliance with all federal and state statutes, such as the Fair Credit Reporting Act (FCRA). The checks must be consistent with the guidelines set forth by these laws requiring organizations to obtain a candidate’s written authorization before obtaining a criminal background report, motor vehicle records check or credit report; and to properly store and dispose of information derived from such reports. Final candidates must pass a pre-employment drug-screening test and physical examination. During the selection process, candidates may be asked to take a skills test, and/or participate in other assessments. The City of Charlotte is an Equal Opportunity Employer and does not unlawfully discriminate on the basis of race, religion, color, sex, national origin, marital status, age, disability, sexual orientation, political affiliation or on the basis of actual or perceived gender as expressed through dress, appearance, or behavior. Our culture is to serve the community honorably. HOW TO APPLY Apply online. Federal law requires employers to provide reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. You are welcome to visit the City of Charlotte Human Resources Department lobby, where self-service application kiosks are available. They are located in our office at 700 East 4th Street, Suite 200, Charlotte, NC 28202. We are open Monday through Friday, from 9:30 a.m. to 3:30 p.m. (EST), excluding official City holidays. For questions about your application or the hiring process, please email Careers@ci.charlotte.nc.us. The City of Charlotte is committed to making our services and programs accessible to all. Upon request, auxiliary aids, written materials in alternate formats, language access, and other reasonable accommodations or modifications will be provided. To make a request, please fill out the Innovation & Technology ADA request form or call 704.336.4120. BENEFITS The City of Charlotte provides a comprehensive benefits package to eligible employees. The City of Charlotte is a drug and alcohol-free workplace.

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Our team members are the key to our company’s success, and their health and well-being, as well as that of their families, is very important to us. We offer a comprehensive benefits package that allows our team members stay healthy, plan for their future and maintain a healthy work-life balance. Benefits may vary with employment status. To see our fill list of Team Member Benefits please visit our career site: www.gotoworkhappy.com/benefits Job Description: Overview At Seminole Hard Rock Support Services, we are on a mission to protect our guests, team members, and enterprise assets through world-class cybersecurity practices. As the Network Cybersecurity Engineer, you will implement, operate, and continuously improve the network security controls that defend traffic in, out, and across the enterprise — from the campus and data center edge to SASE, cloud networks, and the applications they carry — turning architecture and policy into running, automated, measurable defenses. Reporting to the Manager of Cybersecurity Engineering, this role requires a hands-on, security-minded engineer who bridges the worlds of network engineering, cloud operations, and cybersecurity. You will configure and tune the enterprise network security stack — secure access service edge, perimeter and edge defenses, network detection and response, and zero-trust segmentation — and build the integrations and automations that connect it together across on-premises environments and Microsoft Azure (primary), Amazon Web Services, and Google Cloud. This is a builder’s role, not an architecture role. You do not define standards from the sidelines; you take reference architectures and network security requirements and make them real: deploying and tuning controls, writing production-grade automation, and instrumenting the telemetry that turns raw network events into actionable insight. Your networking depth lets you treat traffic as evidence, and your fluency with AI and large language models lets you accelerate detection, triage, and analysis of network data far beyond manual effort. You will work across campus, data center, edge, remote access, and cloud network domains, partnering with architecture, IAM, infrastructure, application, and SOC teams to ensure network controls are deployed consistently, operate reliably, and improve continuously across all Seminole Hard Rock business units. You measure your impact in risks reduced, incidents prevented, and manual effort eliminated through automation. Responsibilities Secure Access & Edge (SASE) Deploy, configure, and tune secure-access service edge controls — secure web gateway, cloud firewall, CASB, and DLP policy — keeping coverage complete and policies current Operate zero-trust network access for workforce and third parties, replacing legacy VPN patterns with identity-aware, least-privilege application access Operate the enterprise browser to enforce least-privilege, isolated access to sensitive applications from managed and unmanaged endpoints via an enterprise browser platform Tune SSL/TLS inspection, tenant restrictions, and egress policy to balance security, privacy, and application compatibility — including protocols sensitive to interception such as NTLM, Kerberos, and certificate-pinned traffic Manage traffic steering, forwarding, and PAC configurations so users land on the right control path from any location worldwide Perimeter, WAF & Application Edge Manage edge and perimeter defenses: web application firewall rules, DDoS mitigation, bot management, CDN and DNS policy for internet-facing properties Operate API security posture and runtime protection, discovering shadow APIs and closing authentication and data-exposure gaps Administer next-generation firewall policy, NAT, and rule lifecycle across data center and property perimeters, driving rule hygiene and least-privilege access Harden DNS, certificate, and TLS posture at the edge in partnership with the PKI and infrastructure teams Coordinate perimeter changes with franchise, property, and vendor networks so remote sites integrate securely without breaking authentication or application flows Network Detection, Response & Visibility Deploy and tune network detection and response, triaging anomalous east-west and north-south activity and feeding high-fidelity findings to the SOC Engineer network telemetry pipelines — flow data, DNS logs, proxy logs, firewall logs, packet metadata — that route, shape, and enrich data for cost-effective analysis Develop and tune network-focused detections and SIEM content, mapping coverage to attacker techniques Investigate network-layer incidents end-to-end — from packet capture and flow analysis to proxy and firewall log correlation — isolating root cause under time pressure Maintain authoritative visibility of network assets and attack surface, continuously reconciling what is connected against what is inventoried Segmentation, Zero Trust & Cloud Networking Apply zero-trust segmentation and least-privilege access principles consistently across campus, data center, gaming, and hospitality network estates Design and enforce microsegmentation and network policy for sensitive zones — payment, gaming, surveillance, and OT/IoT environments — in partnership with infrastructure and compliance teams Implement cloud network security guardrails across Azure (primary), AWS, and Google Cloud: virtual network design, firewalling, private connectivity, and logging baselines (Azure Firewall, NSGs, Private Link) Remediate cloud network misconfigurations and exposure paths surfaced by posture management, preventing drift over time Integrate network security checks into infrastructure-as-code and deployment workflows so network changes are secure by default Network Automation, AI & Detection Engineering Build and maintain network security automations, integrations, and response playbooks across the stack using APIs and SOAR Leverage AI/ML and large language models to analyze large volumes of network telemetry, accelerate alert triage and enrichment, surface anomalies, and automate reporting and documentation Develop and maintain production-grade scripts, services, and tooling (e.g., Python, PowerShell, Go) that operationalize network controls and eliminate repetitive manual work Automate firewall rule reviews, policy validation, and configuration compliance checks so drift is caught by pipelines, not people Instrument metrics and dashboards that make network control coverage, detection efficacy, and remediation timeliness measurable Collaboration & Continuous Improvement Partner with Cybersecurity Architecture, IAM, infrastructure, application, and SOC/MSSP teams to deploy network controls consistently and resolve issues quickly Support Cybersecurity Strategy & Governance, audit, and privacy programs by automating evidence collection and continuous control monitoring for network controls Document standards, runbooks, integration designs, and operating procedures so network controls are repeatable and supportable Research, prototype, and pilot emerging network security tools and AI-driven capabilities that improve detection, automation, and analyst efficiency Participate in an on-call rotation and incident response for a 24/7 gaming and hospitality environment Qualifications & Experience 5–7+ years of combined experience in network engineering, network security engineering, or cloud networking, with at least 4+ years focused on hands-on network security engineering in enterprise environments Deep network engineering expertise, with hands-on experience designing, operating, and troubleshooting enterprise networks: routing and switching, firewalls, proxies, VPN/ZTNA, load balancing, DNS, and TLS/PKI Strong automation and software proficiency, with hands-on experience in Python, PowerShell, Go, or similar languages, and the ability to build custom network security tooling, integrations, and automation from scratch Practical experience applying AI/ML or large language models to network data analysis, detection, triage, or automation Strong working knowledge of SASE / SSE platforms (secure web gateway, ZTNA, CASB, DLP), WAF and DDoS mitigation, NDR, and API security Hands-on experience securing cloud networks on Microsoft Azure (required), with working experience in AWS and/or Google Cloud: virtual network design, cloud firewalls, private connectivity, and network security posture management Deep networking fundamentals: TCP/IP, BGP/OSPF, DNS, DHCP, TLS/PKI, NAT, IPv6, packet analysis, segmentation, and zero-trust access models Experience integrating network security tools and data sources via API, with familiarity in SOAR playbook development and SIEM content engineering Familiarity with regulatory and compliance frameworks relevant to gaming and hospitality (PCI-DSS, SOX, tribal gaming regulations, GLBA), preferred but not required Relevant certifications preferred: Cisco CCNP Security, vendor certifications in next-generation firewall and SASE/SSE platforms, Microsoft AZ-700 or AZ-500, AWS Advanced Networking Specialty, GIAC (GCIA, GDSA, GCLD), or equivalent; CISSP a plus Professional Skills Translate network security requirements and architecture into deployed, automated controls that operate reliably and integrate cleanly into existing networks and workflows, without creating friction Operate as a hands-on engineer who personally builds, configures, tests, and ships high-quality automation and integrations, measuring success in problems solved, not tickets closed Troubleshoot methodically across physical, virtual, and cloud network layers — from packet captures to policy engines — isolating root cause under time pressure during incidents Collaborate effectively across cross-functional teams: cybersecurity, network and infrastructure engineering, cloud, IAM, compliance, and the SOC Communicate technical findings and recommendations clearly to both technical peers and non-technical stakeholders, including property and franchise contacts Thrive in an Agile, fast-paced environment that values automation, rapid iteration, and measurable security outcomes over manual process Demonstrate a builder’s mindset and a passion for using engineering and AI to make network security faster, more consistent, and more scalable Cybersecurity Tool Ecosystem This role operates across a broad network security and engineering toolstack. Candidates should demonstrate depth across multiple categories below: Category Capability Areas SASE, SWG, ZTNA & CASB Secure web gateway, cloud firewall, zero-trust network access, and CASB/DLP platforms Edge, WAF, DDoS & DNS Web application firewall, DDoS mitigation, bot management, CDN, and DNS security API & Application-Layer Defense API discovery, posture governance, and runtime protection platforms NDR & Network Visibility Network detection and response, flow and packet analysis, attack-surface visibility Enterprise Browser & Remote Access Enterprise browser, ZTNA, and secure remote-access platforms Firewalls, Segmentation & Zero Trust Next-generation firewalls, microsegmentation, zero-trust network access Cloud Network Security Azure Firewall, NSGs, Private Link, cloud network security posture management PKI, Certificates & Secrets PKI and certificate lifecycle management, secrets management, cloud key management SIEM, SOAR, Telemetry & Automation Enterprise SIEM, SOAR, telemetry pipeline, and vulnerability management platforms Cybersecurity Strategy & Governance GRC automation, privacy management, and compliance evidence platforms Cloud Platforms Microsoft Azure (primary), AWS, Google Cloud (IaaS, PaaS, serverless) Languages & Scripting Python, PowerShell, Go, Bash — custom tooling and automation.

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Position Description: Join CGI as a Houston based Senior Consultant in Data & AI Strategy and Delivery and help clients translate complex business, data, and AI opportunities into clear strategies, executable plans, and successfully delivered solutions. This is an exciting opportunity for a strategic, client focused, and delivery oriented professional who can bridge business needs, technical teams, and executive stakeholders across data, analytics, Generative AI, artificial intelligence, and broader business transformation initiatives. The ideal candidate brings excellent communication and presentation skills, strong functional consulting and delivery experience, technical fluency in data and AI, and the ability to manage complex initiatives from early stage discovery through implementation. This role is well suited for someone who can think strategically, communicate confidently with technical and executive audiences, and contribute directly to client engagements as a business analyst, project manager, program manager, product owner, functional consultant, or workstream lead. In addition to Data & AI initiatives, this individual should be capable of supporting broader Business Consulting engagements, including operating model design, workforce assessments, organizational transformation, process improvement, capability assessments, and strategic planning. Prior experience in these areas is beneficial, but candidates who demonstrate strong consulting fundamentals, curiosity, adaptability, and a willingness to develop these capabilities will also be considered. You will play an important role in supporting CGI's Data & AI and Business Consulting growth in the Houston market by helping shape client opportunities, lead workstreams, develop RFP responses, gather and translate requirements, define scope and delivery plans, and coordinate across business and technical teams. While hands on development experience is beneficial, this is primarily a functional, strategic, and client facing role rather than a software engineering or data science position. This position is located in our Houston, Texas office. Candidates must be based in the Houston area and willing to work an average of three days per week from the CGI Houston office and/or a client site. Your future duties and responsibilities: Data & AI Strategy and Advisory . Support the development of data, analytics, Generative AI, and AI strategies aligned to client business priorities, operational goals, and transformation objectives . Help clients identify, assess, and prioritize high value data and AI use cases based on business value, feasibility, risk, readiness, and expected outcomes . Translate broad business challenges into structured initiatives, roadmaps, workstreams, and actionable delivery plans . Facilitate strategy sessions, discovery workshops, stakeholder interviews, and working sessions with business and technical teams . Develop business cases, value narratives, executive presentations, recommendations, and decision materials for client and CGI leadership . Contribute to AI operating model, governance, adoption, capability building, and transformation planning efforts . Work with senior AI leaders and technical subject matter experts to shape practical, scalable, and responsible data and AI solutions Business Consulting and Transformation . Support Business Consulting engagements involving operating model design, workforce assessments, organizational transformation, process improvement, and capability development . Assess current state organizations, processes, roles, governance structures, skills, tools, and operating practices . Help define future state operating models, organizational structures, decision rights, governance frameworks, role definitions, and implementation roadmaps . Conduct stakeholder interviews, workshops, surveys, document reviews, and data analysis to identify business needs, gaps, risks, and opportunities . Support workforce and capability assessments by evaluating roles, skills, capacity, demand, organizational readiness, and future capability requirements . Translate assessment findings into practical recommendations, prioritized initiatives, implementation plans, and executive level presentations . Develop clear process maps, operating model artifacts, responsibility matrices, capability frameworks, and transformation roadmaps . Support change management, stakeholder alignment, communications, training, and adoption planning . Apply strong consulting judgment and structured problem solving to ambiguous business challenges . Demonstrate curiosity and adaptability when working across industries, business functions, and unfamiliar client environments Functional Analysis and Requirements Leadership . Gather, document, analyze, and validate business, functional, data, and technical requirements for Data & AI and business transformation initiatives . Translate business needs into user stories, process flows, use cases, acceptance criteria, functional specifications, and delivery backlogs . Define project scope, objectives, dependencies, assumptions, milestones, deliverables, and success measures . Help stakeholders evaluate priorities and understand trade offs related to scope, cost, timing, complexity, risk, data readiness, and technical feasibility . Serve as a liaison between business stakeholders, product owners, architects, data engineers, data scientists, AI engineers, developers, and project leadership . Ensure technical teams have clear business context and requirements while helping business stakeholders understand solution capabilities, constraints, and design decisions . Support user acceptance testing, solution validation, rollout planning, change management, training, and adoption activities . Maintain clear documentation, decision records, requirements traceability, and action tracking throughout the project lifecycle Project, Program, and Workstream Delivery . Lead or support Data & AI and Business Consulting workstreams from discovery and planning through implementation, deployment, and adoption . Develop and maintain project plans, schedules, status reports, risk and issue logs, action trackers, and stakeholder communication plans . Coordinate activities across multidisciplinary teams and ensure dependencies, decisions, and deliverables are actively managed . Manage multiple priorities, concurrent assignments, and tight deadlines while maintaining attention to detail and quality . Identify delivery risks, scope concerns, resource constraints, and timeline impacts early and communicate them clearly to project leadership and clients . Facilitate recurring project meetings, executive updates, technical discussions, working sessions, and decision forums . Track progress against milestones, commitments, expected outcomes, and business value measures . Support Agile, hybrid, and traditional delivery models depending on client needs and project context . Help move initiatives beyond concepts and workshops into pilots, MVPs, production solutions, implemented recommendations, and repeatable capabilities Client Communication and Executive Engagement . Present Data & AI strategies, business consulting findings, solution concepts, project recommendations, delivery updates, and business outcomes to technical and executive audiences . Communicate complex business, data, and AI concepts in clear, accurate, and business oriented language . Demonstrate confidence, credibility, sound judgment, and executive presence in client meetings and presentations . Adapt communication style and level of detail for business leaders, technical teams, project stakeholders, and senior executives . Facilitate conversations involving priorities, risks, trade offs, timelines, scope, organizational impacts, and delivery expectations . Build trusted relationships with clients, prospects, CGI leaders, and delivery teams . Create polished presentations, proposals, roadmaps, status materials, assessment reports, meeting summaries, and executive communications . Represent CGI professionally in client meetings, workshops, presentations, and pursuit activities Proposal and RFP Leadership . Lead or coordinate RFP, RFI, proposal, and sales pursuit responses related to data, analytics, Generative AI, AI, and Business Consulting services . Review client requirements and develop clear response strategies, content outlines, work plans, and submission schedules . Draft high quality proposal content with limited oversight while coordinating targeted input from AI, data, cloud, architecture, security, industry, and business consulting subject matter experts . Translate technical and consulting capabilities into compelling business narratives, differentiators, value propositions, delivery approaches, and client outcomes . Manage proposal contributors, deadlines, reviews, revisions, dependencies, and final submission readiness . Present proposed approaches to prospective clients and respond confidently to business and technical questions . Support solution shaping, estimating, staffing, scoping, and transition planning for new opportunities . Contribute to reusable proposal content, presentation materials, case studies, accelerators, methodologies, and go to market assets Data & AI Solution Fluency . Demonstrate strong working knowledge of modern data, analytics, machine learning, Generative AI, and AI concepts . Understand common AI solution patterns, including copilots, retrieval augmented generation, intelligent search, knowledge assistants, agents, workflow automation, predictive analytics, and decision support solutions . Understand the typical lifecycle of Data & AI initiatives, including discovery, use case definition, data assessment, solution design, prototyping, testing, deployment, adoption, governance, and ongoing improvement . Communicate effectively with technical teams regarding data sources, integrations, architecture, security, model behavior, performance, evaluation, and operational considerations . Understand modern data platforms and ecosystems, including platforms such as Snowflake, Databricks, Microsoft Azure, AWS, Google Cloud Platform, data lakes, data warehouses, and business intelligence tools . Recognize common Data & AI delivery risks, including unclear requirements, poor data quality, limited access, integration complexity, adoption challenges, model limitations, governance gaps, and unrealistic timelines . Support responsible AI, data governance, privacy, cybersecurity, compliance, and human in the loop considerations within project planning and delivery . Stay current on emerging data and AI trends and translate relevant developments into practical client conversations and recommendations Required qualifications to be successful in this role: We are seeking a Senior Consultant in Data & AI Strategy and Delivery who combines strategic thinking, strong consulting and functional delivery skills, technical fluency, adaptability, and exceptional client communication. The ideal candidate will: . Demonstrate excellent written and verbal communication, presentation, facilitation, and stakeholder management skills . Possess strong executive presence and the ability to communicate confidently, accurately, and professionally with senior business and technology leaders . Demonstrate the ability to explain complex business, data, and AI concepts clearly to both technical and non technical audiences . Have experience supporting or leading data, analytics, AI, technology transformation, digital transformation, or Business Consulting initiatives . Demonstrate experience gathering requirements, defining scope, documenting processes, developing user stories, establishing milestones, and supporting solution delivery . Have experience serving in roles such as business analyst, project manager, program manager, product owner, functional consultant, strategy consultant, management consultant, or delivery lead . Demonstrate the ability to translate business objectives into structured requirements, project plans, operating models, assessments, solution concepts, recommendations, and measurable outcomes . Be able to lead workstreams and manage deliverables with limited day to day direction . Demonstrate the ability to manage multiple priorities, competing deadlines, changing requirements, and ambiguous assignments . Have experience preparing and presenting executive level presentations, recommendations, status updates, roadmaps, assessments, or business cases . Demonstrate strong analytical thinking, structured problem solving, business judgment, organization, attention to detail, and consultative capability . Have experience coordinating across business stakeholders, technical teams, architects, developers, data professionals, vendors, and leadership . Demonstrate working knowledge of data platforms, analytics, AI/ML, Generative AI, large language models, retrieval augmented generation, agents, automation, cloud services, and enterprise technology environments . Understand the differences between strategy, assessment, proof of concept, pilot, MVP, production implementation, and enterprise scale deployment . Be able to discuss solution benefits, limitations, dependencies, risks, organizational impacts, and trade offs accurately and confidently . Demonstrate experience leading or contributing significantly to RFPs, RFIs, proposals, statements of work, or sales pursuits . Be able to independently structure and draft proposal responses while obtaining targeted input from technical and consulting subject matter experts . Have experience creating polished client facing deliverables using tools such as Microsoft PowerPoint, Excel, Word, Visio, Jira, Confluence, or similar platforms . Demonstrate an interest in developing broader Business Consulting capabilities, including operating model design, organizational assessments, workforce planning, process improvement, and transformation delivery . Hands on experience with data analysis, SQL, business intelligence, cloud platforms, AI tools, prototyping, process modeling, or technical delivery is preferred but not required . Consulting experience and experience working directly with external clients are strongly preferred . Three to seven years of experience in consulting, technology, data, analytics, AI, project delivery, business analysis, product management, program management, organizational transformation, or a related field . Bachelor's degree required in business, information systems, computer science, data analytics, engineering, project management, organizational development, or a related field . Must be based in the Houston area and willing to work from the CGI Houston office and/or client locations an average of three days per week . Ability to travel as needed #LI-SG2 #DICE Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 $218,200.00. CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs Skills: Artificial Intelligence Business Development Communication Data Analysis Generative AI Large Language Model (LLM) Presentation skills Requirement definition Stakeholder management What you can expect from us: Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.

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Senior AI and ML Solutions Architect Ashburn, VA / Hybrid Public Trust Eligible Blu Omega is seeking a Senior AI and ML Solutions Architect to support a federal program focused on advanced artificial intelligence initiatives. This role operates within a hybrid environment, supporting the CBP ECIS program responsible for cloud adoption, integration, and infrastructure modernization. The primary function involves designing and implementing AI solutions at an enterprise level, aligning with federal security and compliance requirements. The position requires experience supporting AI, ML, and data science initiatives within regulated environments. Program Overview Mission overview: Supporting cloud migration, infrastructure modernization, and AI development efforts to enhance scalability, resilience, and security across national security systems. Key Details Location: 22001 Loudoun County Parkway, Ashburn, VA / Hybrid Clearance: Public Trust Eligible Work Authorization: U.S. or Green Card holder eligible to work in the United States without sponsorship Responsibilities Design and implement enterprise-level AI and ML architectures, including generative AI, AI agents, LLMs, reinforcement learning, and computer vision models Develop and maintain AI/ML roadmaps, perform analysis of alternatives, and advise leadership on technical tradeoffs and strategy Transform technical research and development outputs into secure, compliant production solutions integrated with business workflows Build scalable, secure, and compliant MLOps and CI/CD pipelines for regulated environments Lead strategic planning for AI projects, including cloud deployment and edge device solutions Communicate complex AI concepts clearly to executive and operational stakeholders, providing actionable insights and rapid prototyping Required Qualifications 8+ years of experience with data science, machine learning, deep learning, or AI, including end-to-end architecture and delivery of complex AI programs Experience managing AI initiatives across varying maturity levels and advising executive leadership on strategy Proven experience designing, building, and deploying advanced AI systems, including generative AI, AI agents, and LLMs Experience with secure, compliant MLOps and CI/CD pipelines in regulated environments Cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services such as SageMaker, Vertex AI, Bedrock, or Gemini Ability to communicate complex AI concepts clearly and provide actionable insights to senior leaders Ability to obtain and maintain a Public Trust or Suitability/Fitness determination Bachelor’s degree in Computer Science, Engineering, or Data Science Preferred Qualifications Experience with Edge deployments and optimization strategies such as quantization, pruning, and knowledge distillation Experience with MLOps for production workloads Experience working with cybersecurity teams to develop and review security documentation and control implementation for authorization to operate (ATO) Compensation Salary Range: $140,000 - $180,000 Final compensation is based on technical skills, experience, and certifications. Blu Omega Benefits & Perks Medical, Dental, and Vision coverage through national providers 401(k) with company match (eligible after 6 months; vesting applies) Company-paid Life and AD&D insurance with additional voluntary options Short-term disability (company-paid) and long-term disability options Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources Telehealth and virtual care options available through medical plans Pet insurance, legal services, and identity theft protection options Paid Time Off (PTO) for eligible employees Paid federal holidays for salaried employees Access to wellness programs, discounts, and lifestyle benefits Benefits eligibility and offerings may vary based on role, employment status, and program requirements. Company Overview Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments. We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support. Our teams operate within federal contracting environments, supporting task orders, recompetes, and programs requiring cleared personnel and compliant delivery. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. #CJ #LI-Hybrid

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Requisition ID 201917 Date posted 08/03/2026 Work Country United States The group you’ll be a part of The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives. The impact you’ll make The PMO group in Lam Research’s Global Information Systems (Lam IT or Lam GIS) team is seeking an experienced Senior Project Manager to support AI programs for Lam’s Global Operations (GOPs) organization with significant engagement across GOPs, enterprise AI (EAI), Information Security, IT data lake and IT enterprise applications (technology) teams. This role will drive planning, execution, program / project governance, and assist with benefits realization for AI/ML/Agentic Automation based capability deployments. The successful candidate will partner across multiple groups, towers, and geographies to translate AI opportunities into well-structured programs / projects with clear scope, measurable outcomes, practical delivery plans, risk controls, and leadership visibility. This role requires strong program management discipline, communication, executive presence, perseverance, with an ability to operate effectively in a fast-evolving AI environment. What you’ll do Lead AI programs and related projects across enterprise applications, data analytics, infrastructure, and information security domains. Partner with the BRM and business unit stakeholders to clarify business outcomes and manage project cadence through the program / project lifecycle. Develop program charters, project definitions, scope, success metrics, cost estimates, schedules, resource plans, and delivery roadmaps. Own & drive various project enablement activities across multiple internal functions, e.g., IT – Infrastructure, Data and Applications; Information Security; Ethics & Compliance, Indirect Procurement, etc. Coordinate AI solution delivery with product owners, architects, data teams, application teams, InfoSec, infrastructure, vendors, and business units. Drive execution using rapid build and deployment cycles prevalent in AI deployments. Define and execute sprint planning, milestone reviews, steering updates, and decision forums as needed. Manage dependencies, risks, issues, assumptions, decisions, change requests, and escalation paths across multiple concurrent AI initiatives. Proactively ensure data readiness, data access, security, privacy, compliance, model / solution validation, operational support, and release readiness considerations. For prioritized initiatives, establish lightweight governance mechanisms for program / project delivery health, risk review, value realization, and post-implementation support. Track adoption and value realization, including usage, productivity impact, stakeholder feedback, process improvement, and benefits against approved success measures. Prepare concise executive-level communications, including status dashboards, roadmap updates, risk summaries, decision requests, and portfolio-level progress reporting. Facilitate partner delivery execution and third-party coordination for AI tools, platforms, and implementation partners. Identify project management improvement opportunities and help mature repeatable delivery patterns, templates, playbooks, and operating models for AI initiatives. Resolve most conflicts between timeline, budget, and scope independently; escalate, as-needed, complex issues early to IT PMO and BU stakeholders. Demonstrate flexibility, resilience, and structured problem solving in ambiguous, fast-changing environments where business, technology, and governance evolve quickly. Who we’re looking for Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline with 12+ years of experience; or Master’s degree with 8+ years’ experience; or equivalent experience. 10+ years of IT experience, including at least 3+ years successfully leading complex AI deployment projects or programs across diverse business and technology teams. Strong program / project management experience with enterprise applications, infrastructure, information security, data analytics, automation, or AI-enabled initiatives. Demonstrated ability to manage multiple workstreams, stakeholders, vendors, budgets, schedules, resources, risks, and executive communications concurrently. Experience with SDLC, Agile, Scrum, waterfall, and hybrid delivery methodologies; ability to tailor governance to the size and risk profile of the initiative. Working knowledge of AI / generative AI concepts, data readiness, model / solution lifecycle considerations, adoption planning, and responsible AI governance preferred. Project Management certification such as PMP, PgMP, PMI-ACP, CSM, or equivalent experience preferred. Strong cross-functional collaboration, executive communication, stakeholder management, facilitation, negotiation, and conflict-resolution skills. Hands-on proficiency with Microsoft Project, Microsoft 365, Teams, Visio, Excel, PowerPoint, Smartsheet, Jira, Azure DevOps, or similar planning and reporting tools. Preferred qualifications Experience supporting programs involving AI Foundries (e.g., MS Foundry), M365 Copilot, Copilot Studio, AI agents, knowledge search, workflow automation, data analytics, or enterprise AI platforms. Ability to create AI use case intake criteria, prioritization models, delivery playbooks, adoption plans, and value measurement dashboards. Experience coordinating architecture, security, privacy, legal, data governance, and operations reviews for emerging technology initiatives. Familiarity with organizational change management for new digital capabilities, including training, communications, stakeholder readiness, and support transition. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time. #LI-DM1 Salary CA San Francisco Bay Area Salary Range for this position: $114,000.00 - $253,000.00. The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors. Our Perks and Benefits At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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Location Remote-United States Category Information Technology Department Information Services Shift Weekday Day Position Type Full Time Scheduled Weekly Hours 40 Req # JR7119 Job Description Position Summary The AI Product Manager serves as the institutional product and relationship lead for identifying, evaluating, and advancing AI products that address high-value business, clinical, administrative, and operational needs at St. Jude. This role translates workflow pain points into clear problem statements, product requirements, business cases, success measures, and practical recommendations; evaluates market and vendor options; prioritizes opportunities; and helps determine which solutions are the best fit for the organization. The successful candidate will work across clinicians, administrators, operational leaders, vendors, IS, data and analytics, engineering, security, and governance partners to ask the right questions, clarify tradeoffs, build trust, and guide decisions that support implementation readiness, adoption, and value realization. Experience with Epic and a strong understanding of clinical, administrative, and operational workflows are highly desirable. Success in this position requires strong product leadership, sound judgment, curiosity, user empathy, and excellent communication and facilitation skills. This position may be eligible for remote work. However, St. Jude requires all remote employees to: Travel to our Memphis campus for the interview process and/or orientation, if selected Travel to Memphis to work on-site for one week per quarter, or as requested based on business needs, if hired. By applying, you acknowledge and agree to these travel requirements as a condition of employment. This position is remote within approved U.S. locations. Due to state-specific employment regulations, we are unable to consider applicants currently residing in California for remote work; however, candidates based in California who are willing to relocate to an approved location may be considered. Duties/Responsibilities: Serves as the institutional product lead for AI solutions, accountable for identifying, prioritizing, and advancing the right-fit products to address priority pain points, workflow friction, and strategic opportunities across St. Jude. Builds trusted relationships across clinical, administrative, operational, IS, data, analytics, and technical teams to understand workflows, clarify pain points, translate needs into requirements, and evaluate solution options. Leads market scans, vendor evaluations, and product comparisons to assess strategic fit, workflow fit, technical feasibility, implementation complexity, risk, support model, and expected value. Develops product recommendations and business cases that translate workflow pain points into expected value, adoption implications, dependencies, implementation readiness, risks, and success metrics. Guides products through the stage-gate pipeline, ensuring requests are vetted and aligned with institutional priorities, governance requirements, and available capabilities. Facilitates cross-functional forums and special interest groups, using diplomacy and synthesis skills to align stakeholders, surface concerns, coordinate evaluation activities, and drive toward informed recommendations. Leads pilots and structured product evaluations, including success criteria, validation plans, stakeholder roles, workflow implications, adoption needs, and readiness for scale. Translates approved products into implementation and adoption plans, clarifying requirements, supporting prioritization, aligning stakeholders, and guiding value realization. Partners with architecture, security, data, platform, and technical teams to ensure product decisions account for feasibility, enterprise architecture, dependencies, and implementation risk. Monitors product performance, adoption, benefits realization, user feedback, and outcomes, and communicates evidence-based updates and recommendations to stakeholders and leadership. Attends and facilitates AI-related committees, councils, and meetings and performs other duties as assigned. Minimum Education and/or Training: Bachelor's degree in computer science, data science, information science, business, or related field required. Master's degree preferred. Minimum Experience: Minimum requirement: 5+ years in Information Technology implementation, application management, data management/advanced analytics, and governance required. 7+ years of experience in product management, product strategy, digital health, healthcare technology, enterprise technology evaluation, or a related field highly preferred. Proven ability to engage, influence, and collaborate with diverse stakeholders across clinical, business, and executive environments. Strong curiosity and evolving knowledge of GenAI/AI technologies, with the ability to anticipate industry trends. Experience working with a wide range of partners—from established enterprise vendors to emerging start-ups. Skilled in analytics, experimentation, and data storytelling, with the capability to craft and deliver compelling, high-impact presentations. Comfortable interacting with senior leaders and clinical staff to drive strategic discussions and decision-making. Working knowledge of GenAI/AI solutions and their practical application in organizational contexts. Experience evaluating, implementing, scaling, or supporting adoption of digital, analytics, automation, AI, or GenAI products in an enterprise environment highly preferred. Healthcare or healthcare technology experience, including exposure to clinical, administrative, or operational workflows highly preferred. Experience evaluating vendor solutions and product fit across business, clinical, technical, security, and operational dimensions highly preferred. Experience shaping product direction, prioritizing opportunities, and guiding initiatives from discovery through implementation, adoption, and scale highly preferred. Experience translating user needs and workflow pain points into product requirements, business cases, success metrics, pilots, adoption plans, and leadership recommendations highly preferred. Ability to partner effectively with technical teams to understand feasibility, dependencies, risks, and implementation implications highly preferred. Strong written, verbal, facilitation, and synthesis skills, with the ability to translate between business, clinical, operational, and technical audiences highly preferred. Other Desirable Qualifications: Experience evaluating or working with Epic is highly desirable, especially where that experience includes translating clinical, administrative, or operational workflow pain points into product requirements, business cases, or adoption plans preferred. Working knowledge of commercially available AI and GenAI solutions, including healthcare products and enterprise copilots or assistants preferred. Experience with other enterprise platforms such as Microsoft, ServiceNow, Workday, or comparable healthcare and business technology products preferred. Knowledge and Skills: Strong product leadership, stakeholder management, and executive communication skills, with the ability to lead through influence and align diverse groups around shared decisions. Excellent facilitation, diplomacy, active listening, and synthesis skills with senior leaders, clinicians, operational leaders, vendors, and technical partners. Broad understanding of AI and GenAI products, vendor landscapes, implementation patterns, integration considerations, governance expectations, support models, and structured product comparison in enterprise healthcare environments. Ability to translate business, clinical, administrative, and operational pain points into product requirements, business cases, success measures, and adoption plans. Strong understanding of Epic-centered clinical, administrative, and operational workflows and how they shape product fit, adoption, and value realization. Skilled in user research, usability assessment, end-user experience discovery, and structured questioning to identify user needs, workflow barriers, strengths, limitations, dependencies, and risks. Technical fluency sufficient to partner with engineering, architecture, security, data, and platform teams and understand implementation implications. Familiarity with healthcare data governance, privacy, legal, security, and regulatory considerations associated with evaluating and scaling AI solutions. Knowledge of product, pilot, and implementation management practices, including prioritization, change enablement, adoption planning, and readiness for scale. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $94,640 - $169,520 per year for the role of AI Product Manager. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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Position Summary The Machine Learning Scientist uses scientific, mathematical, and computational (software) skills to advance research and clinical (commercial) products for Epitel. This role is heavily involved with all machine learning and data science aspects of the company. This role is also involved with research and grant-funded aims. Key Responsibilities Research, develop, and implement modern computational techniques for time-series analysis, including classical and neural network machine learning methods. Develop and maintain scientific codebases in Python including data ingestion, processing, machine learning, post-processing, evaluation, and visualization. Develop performant scientific software utilizing parallelism and capable of operating in distributed computing environments. Engineer data workflows for ML experiments that track data/feature/experiment versions with transparency. Report key findings in academic journals and at conferences. Minimum Required Qualifications Education: Master’s degree in a computational science field (e.g., Computer Science, Machine Learning, Statistics, Computational Neuroscience) Programming: Must be proficiently skilled in Python based scientific programming and machine learning - e.g., Scikit-Learn, Numpy, Pandas, SciPy, Tensorflow, Keras, PyTorch, etc. Mathematics: Must be strong with foundational mathematics and statistics Machine Learning Techniques: Proficiency in modern ML architectures, unsupervised learning techniques, data modeling, ML OPs utilities. Experience: 4+ years relevant industry or related experience working specifically on ML development for time-series applications. Other: Must be able to travel to and participate in in-person scientific conferences Preferred Qualifications Strong preference for a candidate with experience in developing ML workflows for EEG analysis specifically or other neuro/bio/physiological time-series data. Background in scientific software engineering and/or High-Performance Computing Experience working with TB-scale disaggregated datasets AWS / Data engineering experience Publication experience ** Interested Applicants Can Apply at: https://forms.gle/mafrArsW6PhGpqGB7 Key Competencies Divergent Thinking: the ability to come up with novel solutions to open-ended problems or identify new questions/new problems An understanding of software design principles, including the ability to write flexible, interpretable code for use by other teammates Minimal Oversight - We are a small and growing company and this role will require one to work diligently without constant oversight. Open communication is critical. QMS - Must be able to document all aspects of the code-base and deployment in a clear and well-detailed manner. Company & Culture Epitel is a venture-backed company empowering clinicians, patients, and caregivers who live with or care for neurological disorders. Epitel employs proprietary EEG wearables and powerful ML/AI to create a platform for brain diagnostics. Our system cuts the time to diagnose brain disorders from hours to minutes and solves critical care access issues. We’re building toward a continuous neurology care platform that will create novel biomarkers for neurological disorders. If you’re interested in a high-impact role at a neurology pioneer, this is it! Benefits Remote-friendly - we’re open to the best candidate anywhere in the US. To that end, we provide a stipend for a remote worksite of your choice (e.g., WeWork, Industrious) and WFH gear (e.g., keyboard, mouse, camera, etc.) Equity - every employee shares in Epitel’s success Professional development allowance - we do better when you do better Medical/dental coverage - we pay 100% of premiums Simple IRA contribution Unlimited vacation - we also take typical US holidays Pay: $130,000.00 - $180,000.00 per year Benefits: 401(k) 401(k) matching Dental insurance Flexible schedule Health insurance Health savings account Paid time off Parental leave Retirement plan Vision insurance People with a criminal record are encouraged to apply Experience: time-series machine learning development: 3 years (Required) Work Location: Remote

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AI Security Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Security Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them. Key Responsibilities Define and implement security controls specifically targeting LLM and AI-powered application risks. Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns. Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints. Implement runtime detection and response capabilities for adversarial prompts and abusive behavior. Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. Design controls for sensitive data handling, retention, and redaction in LLM workflows. Lead red-team exercises against AI systems and drive remediation of identified weaknesses. Evaluate and harden third-party AI services and open-source AI components used internally. Implement identity, authorization, and tenant-isolation patterns for multi-tenant AI services. Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies. Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations. Develop monitoring, logging, and detection strategies tailored to AI workloads. Lead incident response for AI-specific security events and drive durable improvements. Stay current with adversarial ML, LLM security research, and emerging regulatory developments. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline. Six or more years of security engineering experience, including significant work on AI or ML systems. Strong understanding of LLM internals, modern AI architectures, and common failure modes. Hands-on experience designing security controls for AI-powered applications. Deep knowledge of application security, identity, and cryptography fundamentals. Experience with threat modeling and security architecture review processes. Familiarity with adversarial ML, prompt injection, and model abuse research. Proficiency in Python and at least one systems language. Strong understanding of cloud security and modern infrastructure controls. Excellent written and verbal communication skills. Preferred Qualifications Publications, talks, or CTF participation in AI security topics. Experience with red-teaming LLM-based products. Familiarity with privacy-preserving ML techniques such as differential privacy. Exposure to regulated industries with strict data handling requirements. Open-source contributions to AI security tooling. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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Caesars Entertainment is seeking a motivated Data Protection Engineer to support the Cybersecurity Data Protection program. This role assists with the implementation, operation, and continuous improvement of data protection capabilities used to identify, classify, monitor, and protect sensitive data across the enterprise. The Engineer will work under the guidance of Lead and Principal Data Protection Engineers to support Microsoft M365 security controls, data loss prevention technologies, data discovery and classification activities, incident support, reporting, and compliance-related evidence collection. This is an execution-focused engineering role intended for a developing data protection professional who can operate in a complex enterprise environment, follow established standards, document work clearly, and grow into broader technical ownership over time. Data Protection Platform Support: Assist with the administration, monitoring, and maintenance of data protection and DLP platforms, including routine configuration updates, operational validation, and documentation of issues or changes. Microsoft 365 Security Controls: Support the implementation, testing, and ongoing operation of Microsoft 365 data protection controls, helping identify potential exposure risks and escalating findings for review. Data Discovery & Classification: Assist with the discovery, classification, and analysis of sensitive data across enterprise repositories, documenting coverage gaps, data risks, and opportunities for improvement. Data Incident Support: Support data-related incident response activities by assisting with alert review, evidence gathering, investigation support, and documentation of findings. Data Protection Controls Implementation: Implement and test approved data protection controls, validate expected operation, and document results, exceptions, and operational issues. Endpoint & Network Data Protection: Support endpoint and network data protection initiatives by assisting with control deployment, monitoring, tuning activities, and collection of operational metrics. Process Improvement: Contribute to operational improvements through documentation updates, workflow optimization, automation support, and identification of recurring issues. Reporting & Metrics: Assist with the collection, validation, and preparation of program metrics, KPI reporting, and management reporting deliverables. Compliance & Audit Support: Support compliance and audit activities by gathering evidence, maintaining documentation, tracking remediation efforts, and following established handling procedures for sensitive information. Collaboration & Communication: Collaborate with cybersecurity, IT, and business partners to support assigned initiatives while maintaining clear documentation and timely communication of risks, issues, and recommendations. Required Bachelor’s degree in Computer Science, Information Security, Cybersecurity, Information Technology, or a related field; or equivalent practical experience. 2–4 years of experience in enterprise technology, cybersecurity, infrastructure, systems administration, or a related technical role. 1–2+ years of exposure to data protection, DLP, information security, Microsoft 365 security, compliance, or related technologies. Working knowledge of cybersecurity concepts, data handling practices, and sensitive data protection principles. Familiarity with Microsoft 365, SharePoint, endpoint security, data classification, or DLP concepts. Ability to follow documented procedures and operate within defined change, incident, and escalation processes. Strong analytical, troubleshooting, documentation, and communication skills. Ability to work effectively in a complex enterprise environment with changing priorities. Preferred Exposure to data loss prevention, data discovery/classification, SIEM, endpoint security, or cloud security platforms. Familiarity with compliance frameworks such as PCI DSS, HIPAA, NIST, or similar standards. Experience supporting audit evidence collection, operational reporting, or security metrics. Basic scripting, automation, or data analysis experience. Microsoft security, cybersecurity, or cloud-related certifications preferred but not required. At Caesars Entertainment, Inc., our Team Members create the extraordinary. We are the largest casino-entertainment company in the U.S. and one of the world's most diversified casino-entertainment providers. Since beginning in Reno, Nevada, in 1937, Caesars Entertainment has grown through the development of new resorts, expansions and acquisitions. Our resorts operate primarily under the Caesars®, Harrah's®, Horseshoe® and Eldorado® brand names. We focus on building loyalty and value with our guests through a combination of impeccable service, operational excellence and technological leadership. The company is committed to its Team Members, suppliers, communities and the environment through its PEOPLE PLANET PLAY framework. Our Caesars family is driven by our Mission, Vision and Values. We take great pride in living these values – Together We Win, All In On Service and Blaze the Trail – every day. Our mission, “Create the Extraordinary”. Our vision, “Create spectacular worlds. That immerse, inspire and connect you. We don’t perform magic; we create it with excellence. #WeAreCaesars”. If you are ready to create some magic, we invite you to explore our dynamic, yet unique, career opportunities.

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Description: Founded in 2007, Initiate Government Solutions (IGS) is a Woman-Owned Small Business and a fully remote IT services provider supporting federal partners nationwide. We deliver innovative Enterprise IT and Health Services solutions with a strong focus on data analytics, health informatics, cloud migration, AI, and the modernization of federal information systems. Our vision is to be a health IT trendsetter, continuing to solve the nation’s most challenging healthcare IT issues by conceiving, designing, and building solid, creative, and innovative open-source solutions. Our mission is to innovate, design, and deliver tailored solutions that balance technical advancement with cost-awareness while providing exceptional service. IGS is currently recruiting a remote AI/ML Engineer to support our work with a federal customer. Assignment of Work and Travel: This is a remote access assignment. The Candidate will work remotely daily and will remotely access customer systems and therein use approved customer provided communications systems. Travel is not required; however, the candidate may be required to attend onsite client meetings as requested. The AI/ML Engineer will play a critical role in designing, deploying, scaling, and supporting production-grade AI/ML solutions within a secure and governed Azure cloud environment. This position will help enable predictive analytics, Natural Language Processing (NLP), generative AI capabilities, and advanced model development supporting improved healthcare outcomes and operational efficiencies for Veterans, their families, and caregivers. Responsibilities and Duties (Included but not limited to): Design, implement, and maintain scalable AI/ML infrastructure using Azure Machine Learning, Databricks, Azure AI Services, and related cloud technologies. Develop and deploy predictive models, NLP solutions, and generative AI capabilities supporting enterprise business and healthcare use cases. Build reusable AI/ML frameworks, templates, and accelerators for model development, training, validation, deployment, and monitoring. Support AI/ML onboarding and adoption across customer workgroups utilizing shared analytics and AI capabilities. Integrate AI/ML workloads within secure DevSecOps environments using Infrastructure as Code (IaC) and automated security controls. Develop monitoring capabilities for model performance, bias detection, drift monitoring, and operational health management. Ensure AI/ML solutions align with zero-trust architecture and security requirements. Design and deploy generative AI use cases utilizing Large Language Models (LLMs), prompt orchestration, guardrails, content filtering, and human-in-the-loop validation. Implement NLP and text analytics solutions for structured and unstructured data sources, including healthcare and operational datasets. Collaborate with data engineers and analytics teams to operationalize AI-generated insights and integrate AI outputs into business processes. Adhere to customer’s Trustworthy AI principles, privacy requirements, cybersecurity policies, and Risk Management Framework (RMF) controls. Support model governance, documentation, audit readiness, and AI risk assessment activities. Ensure compliance with federal regulations, accessibility standards, and enterprise data governance policies. Participate in Agile ceremonies including sprint planning, daily standups, retrospectives, backlog grooming, and release planning. Other duties as assigned Requirements: 5+ years of experience designing, developing, and deploying AI/ML solutions in cloud environments. Hands-on experience with: Azure Machine Learning, Azure AI Services, Databricks, Python, ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn, Azure DevOps and CI/CD pipelines Experience developing and deploying NLP, machine learning, and predictive analytics solutions. Strong understanding of data engineering, cloud architecture, and distributed data processing. Experience with Git-based source control and DevSecOps methodologies. Ability to obtain and maintain a Public Trust Ability to work in the United States without sponsorship Preferred Qualifications and Core Competencies: Direct experience deploying AI/ML or data science solutions within a federal government agency. Experience supporting Department of Veterans Affairs (VA), Veterans Health Administration (VHA), Centers for Medicare & Medicaid Services (CMS), or other federal healthcare environments. Experience with Generative AI, LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, and AI governance frameworks. Experience with Lakehouse architectures, Delta Lake, and enterprise data platforms. Familiarity with Zero Trust Architecture (ZTA), RMF, ATO processes, and federal cybersecurity requirements. Knowledge of healthcare datasets, clinical analytics, or healthcare data privacy requirements Active Public Trust Successful IGS employees embody the following Core Values: Integrity, Honesty, and Ethics: We conduct our business with the highest level of ethics. Doing things like being accountable for mistakes, accepting helpful criticism, and following through on commitments to ourselves, each other, and our customers. Empathy, Emotional Intelligence: How we interact with others including peers, colleagues, stakeholders, and customers’ matters. We take collective responsibility to create an environment where colleagues and customers feel valued, included, and respected. We work within a diverse, integrated, and collaborative team to drive towards accomplishing the larger mission. We conscientiously and meticulously learn about our customers’ and end-users’ business drivers and challenges to ensure solutions meet not only technical needs but also support their mission. Strong Work Ethic (Reliability, Dedication, Productivity): We are driven by a strong, self-motivated, and results-driven work ethic. We are reliable, accountable, proactive, and tenacious and will do what it takes to get the job done. Life-Long Learner (Curious, Perspective, Goal Oriented): We challenge ourselves to continually learn and improve ourselves. We strive to be an expert in our field, continuously honing our craft, and finding solutions where others see problems. Compensation: There are a host of factors that can influence final salary, including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Benefits: Initiate Government Solutions offers competitive compensation and a robust benefits package, including comprehensive medical, dental, and vision care, matching 401K and profit sharing, paid time off, training time for personal development, flexible spending accounts, employer-paid life insurance, employer-paid short and long term disability coverage, an education assistance program with potential merit increases for obtaining a work-related certification, employee recognition, and referral programs, spot bonuses, and other benefits that help provide financial protection for the employee and their family. Initiate Government Solutions participates in the Electronic Employment Verification Program.

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Position Purpose: The Machine Learning Engineer II is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. ML Engineers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices. Key Responsibilities: 65% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively 15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality Direct Manager/Direct Reports: This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager This Position has 0 Direct Reports Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 2+ years of experience in Machine Learning, Data Science, Software Engineering, or a related field Experience developing, training, and deploying machine learning models in production environments Hands-on experience with ML frameworks and tools such as Python, Scikit-learn, TensorFlow, PyTorch, Pandas, and Jupyter Notebooks Experience with feature engineering, model evaluation, experimentation, and monitoring Knowledge of machine learning techniques including classification, regression, clustering, forecasting, and anomaly detection Experience working with cloud-based ML platforms, preferably Google Cloud Platform (GCP), Vertex AI, and BigQuery Strong SQL and Python skills with experience working on large datasets Familiarity with MLOps, CI/CD pipelines, Git, and Linux/Unix environments Experience building and consuming REST APIs and integrating ML solutions into applications Understanding of software engineering best practices, scalability, reliability, and system performance Exposure to deep learning, NLP, Generative AI, or LLM-based solutions is a plus Experience with A/B testing and data-driven decision making Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED. Preferred Education: No additional education Minimum Years of Work Experience: 1 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Global Perspective Manages Ambiguity Nimble Learning Self-Development Collaborates Cultivates Innovation Situational Adaptability Communicates Effectively Drives Results Interpersonal Savvy

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We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production. This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications. What you'll do Develop, train, and evaluate machine learning models. Prepare and analyze datasets for model training. Improve model performance through experimentation and testing. Deploy and maintain ML models in production environments. Collaborate with software engineers to integrate ML solutions into products. Monitor model performance and continuously improve accuracy. Stay up to date with new machine learning techniques and technologies. What we're looking for Basic understanding of machine learning concepts and algorithms. Experience with Python. Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. Comfortable working with data and writing clean, maintainable code. Familiarity with Git. Good problem-solving skills. Strong written and verbal English communication. Nice to have Experience with large language models (LLMs). Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with SQL. Experience deploying ML models. Personal projects or open-source contributions related to AI or machine learning. Requirements 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required. Passion for learning and building AI solutions. What we offer Fully remote work. Flexible working environment. Opportunity to work on real AI products. Challenging technical problems with room to grow. Collaborative and fast-moving team. Competitive compensation based on experience.

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We are seeking an AI Solutions Engineer to lead client AI initiatives from discovery through production deployment. You will partner with clients to identify high-impact Generative AI use cases, evaluate data readiness, and rapidly build proof-of-concept applications that demonstrate tangible business value. You will design and implement production-ready AI solutions leveraging Amazon Bedrock, foundation models, RAG pipelines, and AI agent frameworks such as LangChain and LlamaIndex. As a client-facing technologist, you will translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices. Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What this role is responsible for: AI Assessment & Discovery Participate in client discovery workshops and technical interviews to identify and prioritize high-impact GenAI use cases Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI solutions Rapidly design and build proof-of-concept (POC) applications and live demonstrations that validate AI use cases and illustrate business value to client stakeholders Translate discovery findings into technical specifications, architecture recommendations, and implementation plans Present POC results and assessment recommendations to client teams, building confidence and momentum for production investments GenAI Solution Development Design and implement production-ready Generative AI applications using Amazon Bedrock, Anthropic Claude, and other foundation models Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Weaviate, OpenSearch, Pinecone) Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations Create conversational AI interfaces with natural language understanding, intent detection, and context management Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain-specific applications Client Engagement & Delivery Translate business requirements into technical specifications and suggested implementation plans Provide technical guidance and recommendations to clients on AI/ML best practices Document architecture decisions, code, and deployment suggestions What makes someone successful in this role: You have a proven track record delivering production AI applications from concept to deployment You excel at conducting technical discovery and assessment work, including stakeholder workshops and use-case identification You can build proof-of-concept applications and live demonstrations that communicate technical concepts to non-technical audiences You have excellent problem-solving skills and the ability to work independently with minimal supervision You possess strong written and verbal communication skills for client-facing interactions You are passionate about Generative AI and stay current with the latest developments in LLMs, agents, and AI frameworks Requirements: 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development 2+ years of hands-on AWS experience with production deployments 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents) AWS Certifications: Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) Background in healthcare, financial services, or regulated industries with understanding of compliance requirements (HIPAA, PCI-DSS, SOC 2) (preferred) Contributions to open-source AI/ML projects or published technical content (preferred) Experience with multi-tenant SaaS architectures and data isolation patterns (preferred) Knowledge of cost optimization strategies for AI workloads (model selection, caching, batching) (preferred) Familiarity with frontend frameworks (React, Angular) for building AI-powered UIs (preferred) The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Joining McNees Wallace & Nurick LLC means becoming part of a team that values your voice, your growth, and your impact on clients, colleagues, and the communities we serve. Since 1935, McNees has been a trusted, client-focused law firm delivering practical, results-driven legal solutions with integrity and a client-first philosophy. We are a full-service firm with more than 170 attorneys and 350 professionals, committed to excellence across a wide range of practice areas and industries. At McNees, we are guided by our core values of authentic relationships, excellence, growth, and balance to foster collaboration and innovation. We support your success through mentorship, leadership development, and continuous learning opportunities. Our commitment to community runs deep, with a strong tradition of stewardship through pro bono work, charitable initiatives, and civic engagement. We also prioritize flexibility and well-being with a family-focused culture, reasonable revenue hour expectations, and technology that drives efficiency. If you're looking for an opportunity to do meaningful work with people who value integrity and collaboration, you'll feel at home at McNees. McNees, Wallace & Nurick is actively seeking a Security Engineer to join our Information Technology department. At McNees, we believe our people are our greatest asset. We foster a culture of integrity, innovation, and collaboration - where your ideas matter, and your contributions make a real impact. You will lead the design, implementation, and continuous improvement of the firm's cybersecurity program. This is a high-impact role for a security professional who thrives on solving complex challenges, strengthening organizational resilience, and partnering across teams to embed security into every aspect of technology operations. Reporting to the Chief Information Officer, the Security Engineer will serve as the firm's primary security expert, driving security strategy, incident response, risk management, and security architecture initiatives while helping to advance the overall capabilities of our IT team. Responsibilities Design, implement, and maintain enterprise security infrastructure, including firewalls, intrusion detection and prevention systems (IDS/IPS), endpoint protection platforms, SIEM solutions, and application control technologies. Lead the execution of the firm's cybersecurity strategy and roadmap, aligning security initiatives with business objectives and risk management priorities. Monitor security systems, investigate alerts, and coordinate responses to security incidents, including high-severity events and forensic investigations. Conduct vulnerability assessments and penetration testing activities while partnering with system owners to remediate identified risks. Develop, maintain, and enforce security policies, standards, and procedures aligned with industry frameworks such as NIST CSF, CIS Controls, and ISO 27001. Manage identity and access management solutions, including multi-factor authentication, single sign-on, privileged access management, and periodic access reviews. Support security and privacy compliance initiatives, audits, risk assessments, and third-party vendor security reviews. Administer and optimize security tools, including email security gateways, web filtering solutions, and cloud security technologies. Lead incident response, business continuity, disaster recovery, and major security-focused projects such as platform migrations and zero-trust initiatives. Collaborate with infrastructure, cloud, and business teams to integrate security requirements into new and existing technologies and processes. Advise firm leadership on cybersecurity risks, security architecture, and strategic technology investments. Track emerging threats and security trends, and prepare metrics, dashboards, and reports demonstrating the firm's security posture and program maturity. Mentor colleagues, share technical expertise, and help foster a culture of security awareness across the organization. Requirements Bachelor's degree in Information Security, Information Technology, Information Systems, or a related field, or an equivalent combination of education and experience. Five or more years of progressive experience in cybersecurity or information security, including responsibility for complex security programs and initiatives. Strong knowledge of network security, operating system hardening, Azure security, and modern security architectures, including zero-trust principles. Hands-on experience with SIEM platforms, vulnerability management tools, endpoint detection and response (EDR), firewalls, and IDS/IPS technologies. Working knowledge of security frameworks and standards such as NIST CSF, CIS Controls, ISO 27001, and SOC 2. Understanding of identity and access management technologies and protocols, including SAML, OAuth, LDAP, and directory services. Experience with scripting and automation tools such as PowerShell and Python. Exceptional analytical, troubleshooting, and problem-solving abilities. Strong written and verbal communication skills with the ability to present technical concepts to both technical and non-technical audiences. Ability to manage multiple priorities, work independently, and maintain confidentiality in a professional services environment. Industry certifications such as CISSP, CISM, CEH, GIAC, or CompTIA Security+ are strongly preferred. Master's degree in Cybersecurity, Information Security, or a related discipline is preferred. #LI-REMOTE #LI-DNP About McNees Headquartered in Harrisburg, Pa., McNees operates offices across Pennsylvania, Maryland, Ohio, and Washington, D.C., giving our team a broad regional footprint and diverse opportunities for collaboration. We are ranked among the NLJ 500, Best Law Firms, and Best Lawyers, and nationally recognized for excellence in areas such as construction litigation and energy law. Our attorneys deliver tailored strategies to businesses, individuals, and organizations across industries, including real estate, energy, healthcare, banking and finance, insurance, construction, and technology. We also have a strong presence in public sector law, advocating for clients in regulatory and legislative matters at all levels of government. Our services span corporate law, real estate and construction, labor and employment, litigation, tax, intellectual property, energy and environmental, estate planning, and public sector law, complemented by affiliated businesses like Apollo Communications (strategic marketing and PR), Keystone Municipal Solutions (municipal consulting), and Pine Street Land Company (title and settlement services). McNees offers an engaging work environment, robust opportunities for professional development, challenging and rewarding career paths, and competitive compensation. McNees is an Equal Opportunity Employer. Employment decisions are made without regard to any trait protected by law.

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Who We Are Option One Technologies is a next-generation managed IT and cloud platform revolutionizing how financial services firms and institutions access best-in-class technology. Founded in 2019 by alumni from the Boston-based hedge fund Highfields Capital Management, we deliver white-glove managed services purpose-built for SEC-registered investment advisers, FINRA broker-dealers, hedge funds, and high-net-worth family offices. Our mission is to make enterprise-grade security, compliance, and infrastructure accessible to firms of every size — from established institutions to emerging managers. About the Role We are seeking a senior Cyber Security Engineer to own and advance the security posture of a regulated financial services environment. This is a hands-on role that blends day-to-day operational defense with compliance, user enablement, and offensive testing. You will be the connective tissue between our security tooling, our compliance obligations, and the people who rely on you to keep them safe. The ideal candidate is equally comfortable triaging a SIEM alert, walking a non-technical user through a phishing simulation result, scoping a penetration test, rolling out a new system to an entire firm, and mapping a control to a NIST subcategory. Strong communication and client relationship is not a "nice to have" here — it is central to the job. What You'll Do Security operations & monitoring — Operate and tune our SOC/SIEM stack, investigate alerts, triage incidents, and drive detection and response improvements. Reduce noise, increase signal, and document what you find. Endpoint & network defense — Administer and optimize SentinelOne (EDR), Cisco Umbrella and Zscaler (ZTNA / secure web gateway), including policy tuning, exclusions, threat hunting, and incident containment. Vulnerability management — Run and interpret recurring vulnerability scans, prioritize findings by real-world risk, coordinate remediation with IT and engineering, and track issues to closure. Microsoft 365 administration & security: Administer M365/Entra ID tenants across client firms, including identity and access management, Conditional Access, MFA enforcement, Purview retention and eDiscovery, and secure configuration baselines. Own tenant hardening and remediate Secure Score gaps. Penetration testing — Plan and perform internal and external penetration tests, document findings with clear severity and reproduction steps, and partner with stakeholders on remediation. Coordinate scope and results from third-party pen tests where applicable. Compliance & governance — Maintain and evidence controls for SOC 2 and NIST frameworks, and support compliance obligations specific to Registered Investment Advisors, Securities and Exchange Commission (e.g., RIAs/regulatory safeguarding and recordkeeping expectations). Prepare for and support audits. Create and assist customers with writing and maintaining ISP, BCPDR and other relevant policies, Security awareness & training — Own the KnowBe4 program: build phishing simulations, manage training campaigns, analyze results, and follow up with users. Work with employees daily to coach them on secure behavior in plain, approachable language. User-facing support — Serve as a trusted, patient point of contact for security questions across the business. Translate technical risk into terms any user can act on. Documentation & continuous improvement — Keep runbooks, policies, and procedures current. Recommend and implement improvements to tooling, process, and posture. What You'll Bring Required 4+ years in security engineering, security operations, or a closely related role (mid-to-senior range; depth matters more than exact years). Hands-on SOC / SIEM experience — alert triage, investigation, tuning, and detection logic. Working knowledge of and demonstrable experience with SentinelOne, Zscaler, Cisco Umbrella and KnowBe4 (or directly comparable EDR, ZTNA/SWG, and security-awareness platforms). Hands-on Microsoft 365 administration experience, including Entra ID (Azure AD), Conditional Access, Exchange Online, and Microsoft Purview. Comfortable owning tenant-level configuration in a multi-client environment. Practical penetration testing ability and experience running/interpreting vulnerability scans and driving remediation. Solid understanding of SOC 2 and NIST (e.g., 800-53 / CSF) controls, evidence, and audit support. Familiarity with compliance considerations for Registered Investment Advisors or another regulated financial environment. Excellent written and verbal communication — you can teach, de-escalate, and explain risk to non-technical audiences, and you genuinely enjoy working with users every day. Preferred / Nice to Have Relevant certifications such as OSCP, CISSP, GPEN, GCIH, Security+, or equivalent. Experience with cloud security (AWS / Azure / GCP) and SaaS security posture. Scripting / automation (Python, PowerShell, or similar) for tooling and detection. Prior experience in financial services, fintech, or another highly regulated industry. Microsoft certifications such as MS-102 (M365 Administrator), SC-200 (Security Operations Analyst), or SC-300 (Identity and Access Administrator). What Success Looks Like First 90 days: Fluent in our tooling and alerting; vulnerability scan cadence and remediation tracking are healthy; first phishing campaign run and reported on. First 6 months: Measurable reduction in SIEM noise and open critical/high vulnerabilities; SOC 2 / NIST control evidence is organized and audit-ready; users recognize you as the go-to security resource. Why Join Option One Technologies High-impact, multi-disciplinary role — work at the intersection of cybersecurity, compliance, and financial services with some of the most sophisticated firms in the industry Accelerated professional growth — direct exposure to SEC/FINRA regulatory environments, advanced security tooling, and complex network architectures across a diverse client portfolio Entrepreneurial culture — small, senior team where your work directly shapes client outcomes and company direction Professional development budget to earn industry certifications and attend training Comprehensive benefits: health, dental, and vision insurance; flexible schedule; paid time off; hybrid work arrangement Competitive compensation commensurate with experience Pay: From $90,000.00 per year Benefits: Dental insurance Flexible schedule Health insurance Paid time off Professional development assistance Vision insurance Experience: Writing Security Policies: 1 year (Required) Security User Training: 1 year (Preferred) DUO: 1 year (Preferred) KnowBe4: 1 year (Preferred) Work Location: Remote

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Job Description UW Information Technology has an outstanding opportunity for AI Security Engineer to join their team. About this Opportunity Reporting to Technology Manager, the AI Security Engineer will support the security, governance, and compliance of artificial intelligence (AI) initiatives at the university and its three campuses. The AI Security Engineer exists to secure the university's AI platforms, primarily Purple, built on Cloudforce nebulaONE and hosted in Azure AI Foundry, ensuring that AI services delivered to over 50,000 faculty, staff, and students across three campuses operate within a robust, compliant, and trustworthy security framework. Key Responsibilities [30%] Security Engineering Implement and maintain security controls for AI platforms within Microsoft Azure, including network security groups, firewalls, encryption, key management, and secure landing zones aligned with the Azure Well-Architected Framework (security pillar) and the Microsoft cloud security benchmark. Configure and manage identity and access management using Entra ID, RBAC, conditional access policies, and Zero Trust architecture principles across management-group and subscription hierarchies. [20%] Security Automation & Infrastructure-as-Code (DevSecOps). Implement and maintain infrastructure-as-code (IaC) security using Bicep and/or Terraform, including policy-as-code enforcement (Azure Policy, Sentinel policies) and IaC scanning in CI/CD pipelines. Embed security into CI/CD pipelines (DevSecOps) using GitHub Advanced Security or equivalent, including SAST, DAST, SCA, container image scanning, and auto-remediation workflows. Develop security automation scripts and tools (Python, PowerShell, Bash) to streamline vulnerability scanning, configuration hardening, and compliance evidence collection. [20%] AI Application Security & Red-Teaming Support the security of AI application-layer components specific to Purple and nebulaONE, including RAG data isolation, least-privilege tool/function-call authorization, agent action budgets and rate limits, output filtering, and secrets isolation. Participate in recurring red-team exercises against AI platforms mapped to the OWASP LLM Top 10, the OWASP Top 10 for Agentic Applications, and MITRE ATLAS, documenting findings and supporting remediation. Assess and help mitigate AI-specific security risks including prompt injection, jailbreak attacks, data leakage through model outputs, and adversarial attacks. Support implementation of guardrails for LLM and agent application patterns including RAG, tool/function calling, MCP (Model Context Protocol), and multi-agent orchestration workflows. Apply AI security governance practices aligned with the NIST AI Risk Management Framework (AI RMF), the NIST Generative AI Profile, and ISO/IEC 42001. [15%] Compliance Evidence & Vendor Oversight Produce and maintain compliance evidence (not policy) for FERPA, HIPAA (where PHI is in scope, including areas outside UW Medicine), GLBA, NIST 800-171/CMMC, and SOC 2 as it relates to AI platforms and cloud infrastructure. Support vendor security oversight of Cloudforce and Microsoft, including HECVAT completion/review, VPAT assessment, SOC 2 report analysis, data processing agreement reviews, and security questionnaire management. [10%] Incident Response & Security Monitoring Monitor AI platform security posture using Azure Sentinel (SIEM), writing and tuning KQL queries for detection rules, alert triage, and threat hunting. Maintain and execute incident response playbooks specific to AI platforms, including data breaches, unauthorized access, prompt injection attacks, model compromise, and agent misuse scenarios. Triage and investigate security incidents, coordinate response activities with UWIT Office of Information Security, and contribute to post-incident reports with root cause analysis. [5%] Paved-Road Patterns, Documentation & Continuous Improvement - Contribute to 'paved-road' security patterns - reusable, pre-approved templates and configurations that make the secure path the easy path for developers and administrators. Develop and maintain security documentation, including architecture diagrams, runbooks, standard operating procedures, and incident response playbooks. Evaluate emerging security tools and technologies; make recommendations for adoption. Required Qualifications To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. Minimum Qualifications Bachelor's Degree in Cybersecurity, Information Security, Computer Science, Information Technology, or a related field, or equivalent combination of education and experience. 3+ years of experience in cloud security engineering, DevSecOps, or infrastructure security with hands-on cloud platform experience. Hands-on experience with Azure security services such as: Defender for Cloud, Sentinel, Entra ID/RBAC, Azure Policy, Key Vault, and network security configurations. Candidates with equivalent depth in AWS or GCP who can demonstrate the ability to ramp on Azure are also encouraged to apply; Azure experience is strongly preferred. Understanding of Zero Trust architecture principles, identity governance, and conditional access. Experience with container or Kubernetes security concepts. Proficiency in Python, PowerShell, or Bash for security automation. Experience with SIEM tools (Azure Sentinel or equivalent) and incident response. Working knowledge of at least two compliance frameworks: FERPA, HIPAA, NIST 800-53/800-171, or SOC 2. Strong written and verbal communication skills with the ability to explain security concepts to both technical Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager. Preferred Qualifications Microsoft Certified: Cloud and AI Security Engineer Associate SC-100 (Cybersecurity Architect Expert), SC-200 (Security Operations Analyst). HashiCorp Terraform Associate certification. Experience with infrastructure-as-code (Bicep and/or Terraform), including IaC scanning and policy-as-code concepts. Experience embedding security into CI/CD pipelines: SAST, DAST, SCA, or container scanning. CISSP or CISM (note: CISSP requires 5 years experience, which may be aspirational for mid-level candidates). Exposure to AI/ML application security risks: prompt injection defense, RAG data isolation, agent authorization, output filtering. Familiarity with OWASP LLM Top 10, OWASP Top 10 for Agentic Applications, or MITRE ATLAS. Knowledge of AI governance frameworks: NIST AI RMF, NIST Generative AI Profile, ISO/IEC 42001. Experience with the Azure Well-Architected Framework (security pillar) and Microsoft cloud security benchmark. Production multi-tenant SaaS or AI-platform operations experience. Azure cost-management and FinOps awareness. Experience in higher education or public sector IT. Experience with HECVAT, VPAT, and vendor security assessment processes. Familiarity with penetration testing methodologies and tools. Knowledge of Washington My Health My Data Act, GLBA, GDPR. Experience with Agile/Scrum methodologies and tools (Jira, Azure Boards). Working Conditions This is a hybrid position with two days in office per week (one required team day on Wednesday, one flex day chosen by the employee). Work is conducted in an open office environment with daily interactions with team members, subject matter experts, and stakeholders at all levels of the organization. While the general working hours are Monday through Friday, 8:00 AM to 5:00 PM, the AI Security Engineer will participate in an on-call rotation for critical AI platform security incidents and may need to adjust hours to accommodate security events, business needs, and deadlines. About the Team University of Washington is at the forefront of leveraging cutting-edge technologies to transform education, research and healthcare. UW Information Technology (UW-IT) is the central IT organization for the University of Washington, collaborating with partners across the University community to advance teaching, learning, innovation and discovery. UW-IT delivers critical IT services and support to all three campuses, UW medical centers and global research operations. Innovation and discovery are at the heart of what UW-IT does and drive the work in advancing the University of Washington's role and mission. This role is pivotal in ensuring that AI platforms and services operate within a robust security framework that aligns with institutional policies, federal regulations, and industry best practices. As a core member of the AI Platforms team, the AI Security Engineer will be responsible for developing and enforcing security standards, conducting risk assessments, managing compliance requirements, and collaborating across teams to embed security into every phase of the AI lifecycle. Compensation, Benefits and Position Details Pay Range Minimum: $87,624.00 annual Pay Range Maximum: $142,392.00 annual Other Compensation: Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary or Regular? This is a regular position FTE (Full-Time Equivalent): 100.00% Union/Bargaining Unit: Not Applicable About the UW Working at the University of Washington provides a unique opportunity to change lives – on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty. Our Commitment The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 . To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu . Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .

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DevOps Engineer Location: 100% Onsite – Bellevue, WA Company Overview Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada. Project Description Our client, a leading advanced nuclear energy organization, is seeking a DevOps Engineer to support the development and operation of software used for design, monitoring, and analysis of a first-of-a-kind Natrium advanced reactor. Reporting to the Engineering Analysis Automation Software (EAAS) team, the engineer will provide elevated technical leadership across software development, platform architecture, scientific computing, DevOps, and workflow automation. The ideal candidate has a proven history of driving complex engineering efforts in a regulated environment while consistently delivering high-quality, reliable results. Key Responsibilities Provide technical ownership by influencing software architecture and development approaches supporting long-term reliability and sustainability Design and implement new features and refactors with a focus on clarity, maintainability, and performance Ensure consistent architecture, configuration, testing, and documentation practices that satisfy regulated-environment requirements Create, maintain, and improve multi-repository CI/CD pipelines, testing strategies, and containerized workflows providing consistent, traceable environments Own and improve recurring release processes by streamlining workflows, reinforcing regression test infrastructure, and minimizing manual steps Collaborate with IT, engineering analysts, and software developers to deliver robust tools, automated workflows, and sustainable practices meeting SQA requirements Provide onboarding, mentoring, and hands-on technical leadership across a complex scientific software ecosystem Reduce technical debt by championing maintainable design patterns, modernization opportunities, and consistent development standards Take on additional systems, services, and workflows as EAAS technical scope evolves Mandatory Skills 10+ years in software development plus a B.S. in Computer Science, Nuclear Engineering, Physics, or related discipline — or advanced degree with equivalent experience Experience developing scientific software that schedules HPC workloads (e.g., via SLURM) Strong background in CI/CD, automated testing, and modern development practices Proficiency with containerization technologies including Docker and Apptainer Proficiency with Python and modern Git-based development workflows Experience developing in SQA-regulated environments (e.g., NQA-1) Strong communication, analytical thinking, and cross-functional collaboration skills Demonstrated ability to mentor contributors and guide teams through complex processes Nice-to-Have Skills Experience supporting engineering, scientific, or nuclear software Experience with automated documentation workflows Experience supporting multiple teams or shared platforms — frameworks, toolchains, or multi-repository environments Familiarity with compiled languages such as Fortran, C/C++, or Rust Understanding of numerical methods, modeling tools, or reactor analysis workflows

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