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Description: Area(s) of responsibility . 6B: GenAI Lead/ Architect - 9/Sep/26 - Must have 14+ years of experience working in Data science, GenAI and NLP technologies. - Experts in guiding customer, solution design using architecture principles - Must have hands-on experience on Agentic AI frameworks – LangGraph, Langchain, LlamaIndex, MCP etc. - Experience in selecting and using paid (OpenAI on Azure, Bedrock in AWS) and open source LLMs, VLM, SLM etc. - Expert design and develop solutions using RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP etc. - Experience in handling large unstructured (multiple file formats) and structured (data Lake) data - DAR for applying best solution for problem statements - Experience with hands-on Python programming language in a must. Should know other languages too - Ability to develop Python code as needed, set standards and train the Developers based on business needs. - Enforce reusable framework, component development and sharing across solutions - Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments. Experience in Observability