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AI Solutions Architect –
AI Solutions Architect
Job Overview
We are seeking an experienced AI Solutions Architect to design, develop, and implement scalable Artificial Intelligence solutions that solve complex business challenges. The ideal candidate will bridge the gap between business objectives and advanced AI technologies, ensuring successful deployment of AI-powered products and services.
Key Responsibilities
- Design end-to-end AI and Machine Learning architectures.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Lead the development of Generative AI, NLP, Computer Vision, and Predictive Analytics applications.
- Create scalable cloud-based AI infrastructures using AWS, Azure, or Google Cloud.
- Evaluate emerging AI technologies and recommend strategic adoption.
- Develop technical documentation, architecture diagrams, and implementation plans.
- Ensure security, compliance, and ethical AI standards are maintained.
- Mentor engineering teams and provide technical leadership.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- 5+ years of experience in AI, Machine Learning, or Solution Architecture.
- Strong knowledge of Python, TensorFlow, PyTorch, LangChain, and LLM frameworks.
- Experience with cloud platforms (AWS, Azure, GCP).
- Understanding of MLOps, data engineering, and AI deployment strategies.
- Excellent communication and stakeholder management skills.
Preferred Skills
- Experience with OpenAI, Anthropic, Gemini, or similar AI models.
- Knowledge of vector databases and Retrieval-Augmented Generation (RAG).
- AI certification from major cloud providers.
Benefits
- Competitive salary ($120K–$170K)
- Health, dental, and vision insurance
- Flexible work environment
- Professional development opportunities
- Performance bonuses
Job Features
| Job Category | hybrid |



