Generative AI / Agentic AI Architect

Role Summary

We are seeking an experienced Generative AI / Agentic AI Architect to lead the design, development, and delivery of a next-generation enterprise AI platform.

The ideal candidate is a hands-on architect with deep expertise in Agentic AI, Large Language Models (LLMs), AWS cloud technologies, and modern AI orchestration frameworks.

This role requires strong technical leadership to architect scalable AI solutions while mentoring and leading a team of developers.

Key Responsibilities

• Architect and build an enterprise-grade Generative AI and Agentic AI platform from the ground up.
• Lead the design and development of AI agents and multi-agent systems using modern Agentic AI frameworks.
• Define platform architecture, reusable components, security, governance, observability, and deployment standards.
• Lead and mentor a team of AI engineers and developers through architecture, design, code reviews, and delivery.
• Collaborate with business and technical stakeholders to translate requirements into scalable AI solutions.
• Evaluate and integrate emerging AI technologies and frameworks.

Required Skills & Experience

• 15+ years of software engineering experience with 3+ years in Generative AI/Agentic AI.
• Hands-on experience designing and developing Agentic AI solutions using:
• LangGraph/LangChain
• Strands Agents
• Model Context Protocol (MCP)
• Agent-to-Agent (A2A)
• Loop Engineering
• AI workflow orchestration and multi-agent architectures
• Strong experience building LLM applications, including Prompt Engineering, RAG, Function Calling, Tool Calling, Memory Management, and AI Guardrails.
• Hands-on AWS experience, including Amazon Bedrock, EKS/ECS, Lambda, API Gateway, Step Functions, S3, DynamoDB/Aurora, IAM, and CloudWatch.
• Strong Python development skills; experience with FastAPI and REST APIs. React/TypeScript knowledge is a plus.
• Experience with vector databases, microservices, Docker, Kubernetes, and CI/CD.
• Good understanding of Generative UI (GenUI) concepts and AI-driven user experiences.

Preferred Qualifications

• Experience building enterprise AI platforms from concept to production.
• Healthcare experience specially handling payer data is preferred.
• Knowledge of Responsible AI, AI governance, security, and observability.
• AWS Solution Architect or AI/ML certifications preferred.
• Excellent communication, stakeholder management, and technical leadership skills.