Job Summary

We are seeking an experienced and highly motivated AI & Machine Learning Manager to lead our AI initiatives and manage a team of data scientists and machine learning engineers. The ideal candidate will be responsible for designing, developing, and deploying scalable AI solutions that drive business growth and innovation.

This role requires a strong technical background in machine learning, deep learning, and data engineering, along with proven leadership and strategic planning skills.

Key Responsibilities

• Lead and manage the AI and machine learning team

• Design and implement advanced machine learning and deep learning models

• Oversee the complete ML lifecycle including data collection, preprocessing, model development, validation, deployment, and monitoring

• Collaborate with product, engineering, and business teams to translate business problems into AI solutions

• Ensure model scalability, reliability, and performance optimization

• Implement best practices for data governance, model versioning, and documentation

• Monitor emerging AI technologies and recommend innovative solutions

• Mentor junior team members and conduct technical reviews

• Present insights and project outcomes to senior leadership

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field

• 6+ years of experience in machine learning, AI development, or data science

• Strong expertise in machine learning algorithms and neural networks

• Hands on experience with TensorFlow, PyTorch, or similar frameworks

• Strong programming skills in Python

• Experience with cloud platforms such as AWS, Azure, or Google Cloud

• Knowledge of data preprocessing, feature engineering, and model evaluation techniques

• Experience deploying ML models into production environments

• Strong leadership and team management skills

Preferred Skills

• Experience with NLP, Computer Vision, or Generative AI

• Knowledge of MLOps tools and CI/CD pipelines

• Strong understanding of big data technologies

• Excellent problem solving and analytical skills

• Strong communication and stakeholder management skills

What We Offer

• Competitive salary package

• Opportunity to lead innovative AI projects

• Collaborative and growth focused work environment

• Career advancement opportunities

Job Overview

We are looking for a visionary Enterprise AI Leader / Director of AI to drive organization-wide AI strategy and transformation. This role is responsible for leading AI initiatives, aligning technology with business goals, and establishing a scalable and future-ready AI ecosystem.

You will act as a strategic decision-maker, guiding teams and stakeholders in adopting AI to create measurable business impact.

Key Responsibilities

• Define and execute the enterprise AI strategy and roadmap

• Ensure clear enterprise AI positioning aligned with business objectives

• Lead and manage cross-functional AI teams (data science, engineering, product)

• Drive AI adoption and digital transformation across departments

• Establish structured AI architecture alignment across all initiatives

• Oversee development and deployment of AI/ML solutions at scale

• Implement AI governance, compliance, and ethical AI frameworks

• Collaborate with executive leadership and key stakeholders

• Identify new AI opportunities to improve efficiency, revenue, and innovation

• Monitor performance, ROI, and impact of AI initiatives

Requirements

• Proven experience in leading enterprise AI or data-driven transformation

• Strong background in AI/ML, data platforms, and cloud technologies

• Demonstrated leadership in managing large, cross-functional teams

• Experience with enterprise-scale AI architecture and deployment

• Deep understanding of business strategy and AI alignment

• Recognized certifications in AI, cloud, or leadership (preferred)

• Excellent communication and stakeholder management skills

• Ability to define and maintain clear enterprise AI positioning

Preferred Qualifications

• Experience in C-level or director-level AI roles

• Knowledge of Generative AI, LLMs, and advanced analytics

• Background in AI governance, risk management, and compliance

• Experience driving ROI-focused AI initiatives

What We Offer

• Competitive executive salary ($180K – $250K+)

• Opportunity to lead enterprise-wide AI transformation

• High-impact leadership role with strategic decision-making power

• Collaborative and innovation-driven environment

Who Should Apply?

Leaders who are passionate about driving AI strategy, leading innovation, and transforming businesses through AI at scale.

We are seeking an experienced project manager with strong business analysis expertise to lead cross-functional projects from concept to delivery. The ideal candidate will bridge the gap between business stakeholders and technical teams, ensuring projects are delivered on time, within scope, and aligned with strategic business goals.

This role requires a blend of project leadership, analytical thinking, and stakeholder management, with the ability to translate business requirements into actionable project plans.

Key Responsibilities

• Lead end-to-end project lifecycle planning, execution, monitoring, and delivery

• Act as a Business Analyst to gather, analyze, and document business requirements

• Translate business needs into functional and technical specifications

• Coordinate with engineering, product, cybersecurity, and data teams

• Manage project scope, timelines, budgets, and risks effectively

• Facilitate stakeholder meetings, workshops, and project reviews

• Track KPIs, project performance metrics, and deliver status reports

• Ensure compliance with organizational standards and governance frameworks

• Identify process improvements and optimize project workflows

Required Qualifications

• Bachelor’s degree in Business, Information Systems, Engineering, or related field

• 8+ years of experience in Project Management and Business Analysis roles

• Proven experience managing complex, large-scale projects

• Strong understanding of Agile, Scrum, and Waterfall methodologies

• Excellent communication, documentation, and stakeholder management skills

• Experience with project management tools (Jira, Confluence, MS Project, Asana, etc.)

• Strong analytical and problem-solving abilities

Preferred Qualifications

• PMP, PMI-ACP, CBAP, or Agile certification

• Experience working with AI, cybersecurity, or data-driven projects

• Background in digital transformation or enterprise technology programs

• Experience working in a US-based enterprise or consulting environment

Why Join Us ?

• Competitive salary range of $180K–$200K

• Opportunity to lead high-impact strategic projects

• Collaborative, innovative, and growth-focused environment

• Exposure to cutting-edge technologies and enterprise clients

 

About the Role

We are looking for a highly motivated AI Business Transformation Consultant to help organizations leverage AI technologies to improve operational efficiency, customer experiences, and business performance.

This role requires both strategic consulting expertise and a practical understanding of AI capabilities. You will work directly with senior executives to identify opportunities, design transformation strategies, and guide implementation efforts.

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Responsibilities

Business Assessment

• Analyze existing business processes.
• Identify opportunities for AI-driven improvements.
• Conduct process mapping and maturity assessments.

AI Strategy Development

• Develop enterprise AI roadmaps.
• Create implementation strategies and business cases.
• Prioritize AI use cases based on impact and feasibility.

Client Engagement

• Facilitate executive workshops.
• Present recommendations to senior stakeholders.
• Build long-term client relationships.

Change Management

• Develop adoption strategies.
• Create training and communication plans.
• Support workforce readiness initiatives.

Performance Measurement

• Define KPIs and success metrics.
• Evaluate business impact and ROI.
• Deliver continuous improvement recommendations.

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Required Qualifications

Education

• Bachelor's degree in Business, Engineering, Data Science, Computer Science, or related field.

Experience

• 7+ years of consulting experience.
• Experience in Digital Transformation or AI Strategy.
• Strong stakeholder engagement skills.
• Experience delivering enterprise consulting projects.

Technical Understanding

• Artificial Intelligence Concepts
• Generative AI
• Business Process Optimization
• Data Analytics
• Cloud Technologies

Consulting Skills

• Executive communication
• Problem-solving
• Strategic thinking
• Workshop facilitation
• Business case development

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Preferred Qualifications

• MBA preferred.
• Experience with Fortune 100 clients.
• Lean Six Sigma Certification.
• Big 4 Consulting background.

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Benefits

• Competitive compensation
• Performance-based bonus
• Health insurance
• Remote work flexibility
• Professional development opportunities

 

About the Role

We are seeking an experienced and visionary Director of AI Transformation to lead enterprise-wide AI initiatives that drive innovation, operational excellence, and measurable business outcomes. This role will serve as a strategic bridge between executive leadership, business functions, and technology teams to accelerate AI adoption across the organization.

As Director of AI Transformation, you will define and execute the company's AI roadmap, identify high-value AI opportunities, establish governance frameworks, and oversee the successful deployment of AI solutions. You will play a critical role in shaping the future of the organization by integrating AI into core business operations.

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Key Responsibilities

Strategic Leadership

• Develop and execute enterprise AI transformation strategy aligned with business objectives.
• Partner with C-suite executives to identify AI-driven growth opportunities.
• Build multi-year AI adoption roadmaps across departments.
• Create executive-level presentations and business cases for AI investments.

Program Management

• Lead large-scale AI transformation initiatives from concept to deployment.
• Manage cross-functional teams including Data Scientists, AI Engineers, Product Managers, and Business Analysts.
• Ensure timely delivery of AI projects within budget and scope.
• Track program KPIs and ROI metrics.

Stakeholder Engagement

• Collaborate with executive leadership and business unit leaders.
• Facilitate workshops to identify AI use cases and prioritize initiatives.
• Drive organizational alignment and secure stakeholder buy-in.

Governance & Compliance

• Establish AI governance frameworks and responsible AI policies.
• Ensure compliance with data privacy regulations and industry standards.
• Develop risk management strategies for AI deployments.

Change Management

• Lead enterprise change management programs for AI adoption.
• Create employee training and AI literacy initiatives.
• Foster a culture of innovation and continuous learning.

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Required Qualifications

Education

• Bachelor's degree in Computer Science, Engineering, Business Administration, or related field.
• MBA or Master's degree preferred.

Experience

• 12+ years of experience in Digital Transformation, Business Transformation, or Technology Leadership.
• 5+ years leading AI, Machine Learning, or Data Analytics programs.
• Proven success delivering enterprise-scale transformation initiatives.
• Experience managing budgets exceeding $10M.

Technical Knowledge

• Artificial Intelligence and Machine Learning
• Generative AI and Large Language Models
• Cloud Platforms (AWS, Azure, GCP)
• Enterprise Architecture
• Data Governance
• Process Automation

Leadership Skills

• Executive stakeholder management.
• Strategic planning and execution.
• Organizational change management.
• Team leadership and mentoring.

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Preferred Qualifications

• Experience working with Fortune 500 organizations.
• Knowledge of AI Governance frameworks.
• Certifications in PMP, Agile, AWS, Azure, or AI technologies.
• Consulting experience with Big 4 or leading technology firms.

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Benefits

• Competitive base salary
• Annual performance bonus
• Restricted Stock Units (RSUs)
• Medical, Dental, Vision Insurance
• 401(k) with company match
• Flexible PTO
• Remote work flexibility

 

Job Overview

We are seeking a skilled and analytical Healthcare Data Scientist to join our growing team. In this role, you will work with large healthcare datasets to generate actionable insights, build predictive models, and support data-driven decision-making across clinical, operational, and business functions.

The ideal candidate has experience in data science, machine learning, healthcare analytics, and statistical modeling. You will collaborate with healthcare professionals, business stakeholders, and technical teams to improve patient outcomes, optimize operations, and support strategic initiatives.

Key Responsibilities

• Analyze large and complex healthcare datasets from electronic health records (EHRs), claims data, patient surveys, and operational systems.
• Develop machine learning and predictive analytics models to support healthcare initiatives.
• Identify trends, patterns, and opportunities to improve patient care and operational efficiency.
• Create dashboards, reports, and visualizations to communicate findings to stakeholders.
• Collaborate with cross-functional teams to define business requirements and analytical solutions.
• Perform data cleaning, validation, and transformation to ensure data quality.
• Apply statistical techniques to evaluate healthcare outcomes and business performance.
• Support population health management, risk stratification, and predictive healthcare programs.
• Ensure compliance with HIPAA and healthcare data privacy regulations.
• Stay current with emerging technologies, data science methodologies, and healthcare industry trends.

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Healthcare Analytics, or a related field.
• 2+ years of experience in data science, analytics, or machine learning.
• Strong proficiency in Python, R, SQL, or similar analytical tools.
• Experience with machine learning frameworks and statistical modeling techniques.
• Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
• Understanding of healthcare data, EHR systems, claims data, or healthcare analytics.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Master's degree in Data Science, Analytics, Biostatistics, Public Health, or a related field.
• Experience working with healthcare organizations, hospitals, insurance providers, or healthcare technology companies.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of NLP, predictive analytics, and AI applications in healthcare.
• Experience with HIPAA compliance and healthcare regulations.

Technical Skills

• Python
• SQL
• Machine Learning
• Data Analytics
• Statistical Modeling
• Tableau
• Power BI
• Healthcare Data Analysis
• Predictive Analytics
• Cloud Technologies

Benefits

• Competitive salary and performance incentives
• Health, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid time off and company holidays
• Professional development opportunities
• Flexible work arrangements
• Career growth and advancement opportunities

Equal Opportunity Employer

We are committed to creating an inclusive workplace and welcome applicants from diverse backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other

 

About the Role

We are seeking a highly skilled and motivated Network Security Engineer to join our cybersecurity team. The ideal candidate will be responsible for designing, implementing, monitoring, and maintaining secure network infrastructures to protect organizational systems, applications, and data from cyber threats. This role requires strong expertise in network security technologies, threat detection, incident response, and security best practices.

Key Responsibilities

• Design, implement, and maintain secure network architectures.
• Configure and manage firewalls, VPNs, IDS/IPS, and other network security solutions.
• Monitor network traffic and security events for suspicious activities.
• Conduct vulnerability assessments and security audits.
• Investigate and respond to security incidents and breaches.
• Implement security policies, procedures, and compliance requirements.
• Collaborate with IT teams to ensure secure deployment of network infrastructure.
• Perform security hardening of routers, switches, servers, and cloud environments.
• Analyze emerging threats and recommend security improvements.
• Create and maintain security documentation and incident reports.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
• 3+ years of experience in network security or cybersecurity roles.
• Strong knowledge of TCP/IP, DNS, VPNs, routing, and switching technologies.
• Experience with security tools such as Palo Alto, Cisco ASA, Fortinet, Check Point, or similar platforms.
• Familiarity with SIEM solutions such as Splunk, QRadar, or Microsoft Sentinel.
• Understanding of cybersecurity frameworks including NIST, ISO 27001, and CIS Controls.
• Experience with cloud security (AWS, Azure, or Google Cloud Platform).
• Knowledge of vulnerability management and penetration testing methodologies.
• Excellent troubleshooting and analytical skills.

Preferred Certifications

• CISSP (Certified Information Systems Security Professional)
• CCNP Security
• CEH (Certified Ethical Hacker)
• CompTIA Security+
• GIAC Security Certifications

Technical Skills

• Firewall Management
• Intrusion Detection & Prevention Systems (IDS/IPS)
• Network Monitoring & Analysis
• Security Information and Event Management (SIEM)
• Vulnerability Assessment
• Incident Response
• Cloud Security
• Risk Assessment
• Network Protocols (TCP/IP, DNS, DHCP)

Benefits

• Competitive Salary
• Remote Work Flexibility
• Health, Dental, and Vision Insurance
• Paid Time Off (PTO)
• Professional Development & Certification Support
• 401(k) Retirement Plan
• Career Growth Opportunities

Equal Opportunity Employer

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, or veteran status.

About the Role

We are seeking an experienced and strategic Senior Product Marketing Manager (AI Product) to lead the go-to-market strategy, positioning, messaging, and adoption of our AI-powered products. This role sits at the intersection of product, marketing, sales, and customer success, helping drive awareness, demand generation, and customer engagement for innovative Artificial Intelligence solutions.

The ideal candidate has a strong background in product marketing, experience launching SaaS or AI-based products, and the ability to translate complex technical capabilities into compelling customer value propositions.

Key Responsibilities

• Develop and execute product marketing strategies for AI-driven products and solutions.
• Create compelling product positioning, messaging, and value propositions that resonate with target audiences.
• Lead go-to-market (GTM) planning and product launch initiatives across multiple channels.
• Conduct market research, competitive analysis, and customer interviews to identify market opportunities.
• Collaborate with Product Management, Engineering, Sales, and Customer Success teams to align business objectives.
• Develop sales enablement materials including presentations, battle cards, product guides, case studies, and whitepapers.
• Drive demand generation campaigns in partnership with the marketing team.
• Analyze product adoption, customer feedback, and market trends to optimize marketing strategies.
• Support customer-facing activities such as webinars, conferences, and industry events.
• Monitor AI industry developments, emerging technologies, and competitive landscape.

Required Qualifications

• Bachelor's degree in Marketing, Business, Computer Science, or a related field.
• 7+ years of product marketing experience, preferably in SaaS, AI, Machine Learning, or enterprise software.
• Proven experience launching and scaling technology products.
• Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and data-driven solutions.
• Experience developing go-to-market strategies and executing successful product launches.
• Excellent communication, storytelling, and presentation skills.
• Strong analytical mindset with the ability to interpret market and customer data.
• Experience working cross-functionally in fast-paced environments.

Preferred Qualifications

• MBA or advanced degree preferred.
• Experience marketing Generative AI, LLMs, AI Agents, or AI-powered SaaS platforms.
• Familiarity with AI ecosystems such as OpenAI, Anthropic, Google AI, AWS AI, Azure AI, or similar technologies.
• Experience in B2B enterprise software marketing.

Skills

• Product Marketing
• Go-to-Market Strategy
• Product Positioning & Messaging
• Market Research & Competitive Analysis
• Artificial Intelligence (AI)
• Machine Learning (ML)
• Generative AI
• Demand Generation
• Content Strategy
• Sales Enablement
• Customer Insights
• Data Analysis

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) retirement plan with company match.
• Flexible remote work opportunities.
• Professional development and learning programs.
• Paid time off and company holidays.
• Career growth within a rapidly expanding AI-driven organization.

Equal Opportunity Employer

We are committed to creating an inclusive workplace and welcome applicants from diverse backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic under applicable law.

Job Overview

We are seeking an innovative Conversational AI Designer to create engaging, intuitive, and human-centered conversational experiences for AI-powered products and services. The ideal candidate will combine expertise in conversation design, user experience (UX), natural language interactions, and artificial intelligence to build seamless interactions between users and intelligent systems.

As a Conversational AI Designer, you will collaborate with product managers, UX researchers, engineers, data scientists, and AI specialists to design user journeys across chatbots, virtual assistants, voice assistants, and generative AI applications.

Key Responsibilities

• Design end-to-end conversational experiences for AI chatbots, virtual assistants, and intelligent digital products.
• Create conversation flows, dialogue structures, user journeys, and interaction models.
• Develop prompts, response frameworks, and conversational patterns for Generative AI systems.
• Design and optimize chatbot interactions based on user feedback, analytics, and usability testing.
• Define conversational tone, personality, and communication guidelines for AI products.
• Collaborate with cross-functional teams to align conversational experiences with business goals and user needs.
• Conduct user research and conversation testing to improve AI-human interactions.
• Analyze user behavior and conversation metrics to enhance engagement and task completion rates.
• Ensure conversational experiences are transparent, accessible, ethical, and user-friendly.
• Stay current with emerging trends in Conversational AI, Generative AI, NLP, and UX design.
• Contribute to the development of scalable conversational design systems and best practices.

Required Qualifications

• Bachelor's degree in Human-Computer Interaction (HCI), UX Design, Interaction Design, Psychology, Linguistics, Computer Science, or a related field.
• 3+ years of experience in Conversational Design, UX Design, Product Design, or AI Experience Design.
• Strong portfolio demonstrating conversational experiences, chatbot designs, or AI-powered user interactions.
• Experience designing conversational interfaces, virtual assistants, or AI-driven applications.
• Proficiency with Figma, Adobe XD, Sketch, or similar design platforms.
• Understanding of conversation design principles, user research methodologies, and usability testing.
• Excellent communication, collaboration, and problem-solving skills.

Preferred Qualifications

• Experience working with Generative AI, Large Language Models (LLMs), and Conversational AI technologies.
• Knowledge of prompt engineering, AI behavior modeling, and conversational UX best practices.
• Familiarity with Natural Language Processing (NLP) concepts and chatbot development workflows.
• Experience with AI platforms such as ChatGPT, Gemini, Claude, Microsoft Copilot, or similar technologies.
• Understanding of accessibility standards and inclusive design principles.
• Experience designing for web, mobile, messaging, and voice-based interfaces.

Benefits

• Competitive salary and performance-based incentives.
• Health, dental, and vision insurance.
• Paid time off and company holidays.
• 401(k) retirement savings plan.
• Professional development and certification support.
• Flexible remote work opportunities.
• Career growth within a rapidly expanding AI and technology environment.

Equal Opportunity Employer

We are committed to fostering an inclusive workplace and welcome applicants from diverse backgrounds. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic protected under applicable law.

Job Overview

We are seeking a highly analytical Financial Data Analyst to support financial planning, reporting, and business decision-making through data-driven insights. The ideal candidate will possess strong quantitative skills, experience working with financial datasets, and the ability to translate complex information into actionable recommendations.

Key Responsibilities

• Collect, analyze, and interpret financial and operational data.
• Develop financial models, forecasts, and budgeting reports.
• Monitor key performance indicators (KPIs) and identify business trends.
• Prepare monthly, quarterly, and annual financial reports.
• Conduct variance analysis and provide recommendations for improvement.
• Create dashboards and visual reports using business intelligence tools.
• Collaborate with cross-functional teams to support strategic initiatives.
• Ensure data accuracy, consistency, and compliance with financial regulations.
• Assist in financial planning, risk assessment, and investment analysis.
• Identify opportunities to improve reporting processes and operational efficiency.

Required Qualifications

• Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Statistics, or a related field.
• 2+ years of experience in financial analysis, business analysis, or data analytics.
• Advanced proficiency in Microsoft Excel.
• Experience with SQL and data visualization tools such as Power BI or Tableau.
• Strong understanding of financial statements, forecasting, and budgeting principles.
• Excellent analytical, problem-solving, and communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

• Master's degree in Finance, Business Analytics, or a related discipline.
• Professional certifications such as CFA, CPA, FMVA, or similar credentials.
• Experience with ERP systems and financial reporting software.
• Knowledge of Python or R for advanced financial analysis.

Benefits

• Competitive salary package.
• Health, dental, and vision insurance.
• Paid time off and company holidays.
• Retirement savings plan with employer contribution.
• Professional development and certification support.
• Flexible work arrangements and career advancement opportunities.

Equal Opportunity Employer

We are committed to creating an inclusive workplace and welcome applications from qualified candidates regardless of race, color, religion, gender, age, disability, veteran status, sexual orientation, or any other protected characteristic under applicable law.

 

Job Overview

We are seeking a highly motivated Bio-Cybersecurity Specialist to protect and secure biological, healthcare, and research systems from emerging cyber threats. The ideal candidate will have expertise in cybersecurity principles, risk management, biomedical technologies, and regulatory compliance to safeguard sensitive biological data, laboratory environments, and healthcare infrastructure.

As a Bio-Cybersecurity Specialist, you will collaborate with cross-functional teams including cybersecurity professionals, researchers, healthcare organizations, and IT departments to identify vulnerabilities, implement security controls, and ensure the integrity of biological and medical systems.

Key Responsibilities

• Assess cybersecurity risks associated with biotechnology, healthcare, and laboratory systems.
• Monitor, detect, investigate, and respond to cyber threats targeting biological data and research environments.
• Conduct vulnerability assessments and penetration testing of healthcare and laboratory networks.
• Develop and implement security policies, procedures, and best practices for biomedical systems.
• Protect sensitive patient, genomic, and research data from unauthorized access and cyberattacks.
• Support compliance initiatives related to HIPAA, NIST, FDA cybersecurity guidance, and other applicable regulations.
• Collaborate with IT, research, and clinical teams to enhance cybersecurity awareness and resilience.
• Analyze emerging threats affecting healthcare, biotechnology, and life sciences sectors.
• Maintain incident response plans and participate in security audits and risk assessments.
• Prepare reports, documentation, and security recommendations for leadership and stakeholders.

Required Qualifications

• Bachelor's degree in Cybersecurity, Information Security, Bioinformatics, Biomedical Engineering, Computer Science, or a related field.
• 3+ years of experience in cybersecurity, healthcare security, biotechnology security, or related areas.
• Strong understanding of network security, threat detection, incident response, and vulnerability management.
• Familiarity with healthcare systems, laboratory environments, or biomedical technologies.
• Knowledge of HIPAA, NIST Cybersecurity Framework, and healthcare security standards.
• Experience with SIEM tools, endpoint protection platforms, and security monitoring solutions.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Master's degree in Cybersecurity, Bioinformatics, Biomedical Engineering, or related discipline.
• Industry certifications such as CISSP, CISM, CEH, Security+, HCISPP, or GIAC certifications.
• Experience working with medical devices, clinical systems, genomic data, or biotechnology research environments.
• Understanding of cloud security and secure data management practices.

Technical Skills

• Cybersecurity Risk Assessment
• Incident Response
• Vulnerability Management
• Network Security
• Security Monitoring & SIEM
• Threat Intelligence
• Healthcare & Biomedical Security
• HIPAA Compliance
• NIST Framework
• Cloud Security
• Security Auditing

Benefits

• Competitive salary package
• Health, dental, and vision insurance
• 401(k) retirement plan
• Paid time off and holidays
• Professional development opportunities
• Remote work flexibility
• Career advancement programs

Equal Opportunity Employer

We are committed to fostering an inclusive workplace and welcome applicants from diverse backgrounds. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Summary

We are seeking a highly skilled AI Infrastructure Engineer to design, implement, and maintain scalable infrastructure that supports artificial intelligence and machine learning workloads. The ideal candidate will have experience with cloud platforms, high-performance computing (HPC), GPU environments, containerization, and infrastructure automation. You will play a critical role in ensuring the reliability, performance, and scalability of AI systems used across the organization.

Key Responsibilities

• Design, deploy, and manage AI/ML infrastructure environments for training and inference workloads.
• Build and maintain high-performance computing (HPC) clusters optimized for AI applications.
• Configure and manage GPU-based systems and distributed computing environments.
• Optimize storage, networking, and compute resources to maximize performance and cost efficiency.
• Implement infrastructure automation using Infrastructure as Code (IaC) tools.
• Monitor system performance, availability, and security across AI platforms.
• Collaborate with Data Scientists, ML Engineers, and Software Developers to support AI model deployment and operations.
• Troubleshoot infrastructure bottlenecks and performance issues.
• Ensure platform scalability, reliability, disaster recovery, and business continuity.
• Manage containerized workloads using Kubernetes and Docker.
• Maintain cloud-based AI environments on AWS, Azure, or Google Cloud Platform.
• Establish security best practices for AI infrastructure and sensitive data.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3+ years of experience in cloud infrastructure, DevOps, Site Reliability Engineering (SRE), or AI platform engineering.
• Strong knowledge of Linux system administration.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Kubernetes, Docker, and container orchestration.
• Understanding of GPU computing technologies such as NVIDIA CUDA and GPU clusters.
• Experience with infrastructure automation tools like Terraform, Ansible, or CloudFormation.
• Knowledge of networking, storage systems, and distributed computing concepts.
• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or JAX.

Preferred Qualifications

• Experience managing large-scale AI training environments.
• Knowledge of MLOps practices and tools.
• Experience with monitoring tools such as Prometheus, Grafana, ELK Stack, or Datadog.
• Familiarity with Apache Spark, Ray, or distributed AI frameworks.
• Relevant cloud certifications (AWS, Azure, or GCP).

Technical Skills

• Linux Administration
• Kubernetes & Docker
• Terraform / Ansible
• AWS / Azure / GCP
• GPU Infrastructure Management
• Python, Bash, or Go
• Networking & Storage Systems
• Monitoring & Observability
• CI/CD Pipelines
• AI/ML Platform Engineering

Salary Range

• Typical Salary: $170,000 – $230,000+ per year (depending on experience, location, and expertise)

Benefits

• Competitive compensation package
• Performance bonuses
• Health, dental, and vision insurance
• Remote or hybrid work options
• Professional development and certification support
• Access to cutting-edge AI technologies and projects

About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM+Trust. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place!  

Impact - Responsibilities

• Develop and execute audit strategies to ensure compliance with global standards and regulatory requirements.
• Partner directly with engineering leaders, and become familiar with their processes covering multiple domains.
• Act as the primary liaison between external audit requests and engineering. Be able to lead walkthroughs with external assessors as needed.
• Partner with cross-functional teams to execute audit recommendations and strengthen compliance preparedness.
• Document detailed playbooks on processes and domains that can be leveraged for assessments.
• Help drive automation efforts and continuous improvement projects to boost the efficiency of audit processes.
• Deliver consistent reports to leadership on audit outcomes, emerging trends, and potential compliance risks.

 

Minimum Qualifications

• 3-5 years of experience managing global compliance assessments in a complex environment.
• Prior experience in a compliance and regulatory environment related to security and privacy including security compliance standards across industries and geographies such as ISO 27001, SOC, HIPAA, PCI, HITRUST, and FedRAMP, etc.
• Project management and stakeholder management experience.
• Technical knowledge and understanding of different hyperscaler environments such as AWS.
• Experience with compliance automation tools and processes.

  Required Qualifications

• Strong Analytical and problem solving skills with the ability to assess risks and recommend solutions.
• Detail oriented with strong organizational and documentation skills.
• Ability to solve unique, complex and often ambiguous problems with broad impact on the business
• Conceptual and innovative thinking to develop and implement solutions
• Ability to work independently and collaboratively in a fast paced regulatory environment.
• Identify risk in processes and environments, and strategies to mitigate the risk.

Preferred Qualifications:

• Certifications (CRISC, CISSP, CCIE, CISM, CISA, CCSK) are a plus

Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .   Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.