Senior Agentic AI Architect - Enterprise AI Ecosystem - Tata Consultancy Services (TCS)

Key Responsibilities

• Architect end‑to‑end enterprise AI solutions that combine generative AI, agentic AI, and retrieval‑augmented generation for complex business workflows.
• Design and implement multi‑agent orchestration frameworks, leveraging LangChain/LangGraph or CrewAI patterns to enable autonomous decision‑making.
• Build and integrate knowledge graphs and vector databases to support semantic search, context‑aware reasoning, and data enrichment.
• Define cloud‑native microservice and event‑driven architectures that ensure scalability, reliability, and security across AI services.
• Mentor engineering teams, establish best practices, and drive technical governance for AI model lifecycle, data pipelines, and deployment pipelines.

Requirements

• 15+ years of experience in AI/ML system design, with a strong focus on generative and agentic AI technologies.
• Deep expertise in enterprise AI architecture, including microservices, event‑driven patterns, and cloud platforms (AWS, Azure, or GCP).
• Proficiency in Python and hands‑on experience with LangChain, LangGraph, CrewAI, or similar orchestration libraries.
• Hands‑on experience building knowledge graphs, vector stores (e.g., Pinecone, Milvus), and RAG pipelines.
• Strong problem‑solving skills, ability to translate business requirements into scalable AI solutions, and excellent communication abilities.