onsite
Senior Agentic AI Architect - Enterprise AI Ecosystem - Tata Consultancy Services (TCS)
Software Engineer
Lead the design and delivery of enterprise‑scale AI ecosystems, focusing on generative and agentic AI, multi‑agent orchestration, RAG pipelines, and knowledge‑graph integration using Python and modern cloud microservices.
About the role
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.
Skills
generative aipython