Description

Job Description: >> Defines end-to-end AI solution architectures across cloud, data, models, and integration layers emphasizing scalability, security, and compliance. >> Guides technology selection and reference implementations. >> Designs and develops a modular Agentic AI architecture supporting dynamic agents, tools, and reusable skills. >> Builds reasoning and orchestration layers leveraging Deterministic logic (rules, workflows, enterprise patterns) and Probabilistic AI (LLMs, embeddings, semantic reasoning). >> Implements agent orchestration using frameworks such as(Model Context Protocol (MCP / FastMCP), Google ADK, LangGraph, LangChain, RAG. >> Builds reusable agent patterns, orchestration layers, and capability abstractions. Requirements: >> 10+ years in Solution/Enterprise Architecture/ Software Engineering >> 5+ years of experience as a Lead/Senior architect or senior technical lead for large IT projects spanning multiple enterprise systems >> 2+ years of hands-on AI development and deployment >> Proven experience delivering production-grade AI products >> Strong track record in cloud modernization and migration initiative

Key Skills

Education

Bachelor's degree