Requirements

• Experience : 13+ years
• Relevant experience in AI/ML, Data Science, Intelligent Automation, or Generative AI, including architecting and delivering enterprise-scale AI solutions.
• Strong expertise in Agentic AI, multi-agent systems, and enterprise AI application architecture.
• Proven experience designing autonomous AI workflows, agent orchestration, hierarchical agent systems, and human-in-the-loop architectures.
• Deep understanding of AI application solution design, enterprise architecture principles, and scalable distributed systems.
• Extensive experience with LLM application frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, OpenAI Agent SDK, Google ADK, and Model Context Protocol (MCP).
• Strong expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), GraphRAG, Agentic RAG, semantic search, embeddings, vector databases, and ...