The job in short
GenAI solution architect and lead for agentic AI, RAG and LLM systems.
PythonAWSAzureKubernetesGenAILLMsNLPLangChainLlamaIndexRAGData scienceAgentic
Details
- Found
- 7 d ago · posted 2026-09-21
- Location as listed
- Noida, INDI, IN
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full 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
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