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Gen AI Enterprise Architect

Tata Consultancy Services, Sunnyvale, CA, United States


  • Experience in designing and deploying production-grade Generative AI and/or complex conversational systems.
  • Frameworks: Deep expertise in agentic orchestration frameworks (LangGraph, AutoGen, CrewAI) and patterns (ReAct, CoT).
  • Good understanding of State Management and Session Management for Agentic Workflows
  • Programming: Expert in Python, particularly in building REST APIs in Flask or FASTAPI
  • MLOps & Cloud: Proficiency in deploying and managing AI workloads on major cloud platforms (AWS or GCP) using containers (Docker, Kubernetes).
  • Good understanding of MCP Integration and MCP Tool layer Development
  • Understanding of Evaluation Methodologies for RAG and other LLM powered Applications
  • Good to have - Agent Observability Solutions
  • Good to have - Understanding of Classical AI Techniques
  • Good to have - end to end web application development
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