Leads the design, development, deployment, and governance of an enterprise AI platform on AWS and Kubernetes. Builds agentic and multi-agent workflows, secure MCP and tool integrations, identity-scoped authorization, policy controls, isolated container runtimes, audit trails, and observability. Partners with engineering, security, regulatory, product, and business teams to deliver compliant AI infrastructure, troubleshoot complex distributed systems, shape technology strategy, and mentor technical teams.

Design, build, test, deploy, and support AI-enabled software and ML services (including LLMs, RAG, and Generative AI). Integrate models, build APIs and CI/CD, troubleshoot production issues, collaborate cross-functionally, and ensure secure, compliant software in regulated healthcare environments.