Architect - Agentic AI_Wipro

<p style="margin-bottom:11px">Role Overview</p> <p style="margin-bottom:11px">We are seeking an experienced AI Architect to lead the design and deployment of multi-agent AI systems, with a preference for healthcare use cases. This role focuses on deep agent architectures, supervisor/manager agents, and delivering solutions from concept to live production in enterprise environments.</p> <p style="margin-bottom:11px"> </p> <p style="margin-bottom:11px">Responsibilities</p> <p style="margin-bottom:11px">Architect agentic workflows using frameworks like LangGraph, AutoGen, Semantic Kernel, PydanticAI or CrewAI for stateful orchestration, supervisor routing, and reliable control flows.</p> <p style="margin-bottom:11px">Design and implement multi-agent teams (e.g., researcher, planner, coder, evaluator) with clear roles, goals, and collaboration patterns.</p> <p style="margin-bottom:11px">Integrate MCP (Model Context Protocol) for secure plugin and tool interoperability.</p> <p style="margin-bottom:11px">Apply advanced prompt engineering for rule extraction, content parsing, and dynamic task execution across agents.</p> <p style="margin-bottom:11px">Ensure production readiness: scalability, security, observability, cost optimization, and compliance with enterprise standards.</p> <p style="margin-bottom:11px">Collaborate with global stakeholders to deliver live deployments in cloud environments.</p> <p style="margin-bottom:11px">Drive continuous improvement by evaluating frameworks, optimizing agent reliability, and implementing guardrails for safe AI operations.</p> <p style="margin-bottom:11px">Required Skills</p> <p style="margin-bottom:11px">7+ years in software engineering; 2+ years architecting LLM-based or agentic systems.</p> <p style="margin-bottom:11px">Hands-on experience with frameworks such as LangChain/LangGraph, AutoGen, Semantic Kernel, and CrewAI.</p> <p style="margin-bottom:11px">Strong proficiency in Python; experience with cloud platforms (preferably Azure) and containerization (Docker/Kubernetes).</p> <p style="margin-bottom:11px">Expertise in multi-agent orchestration in production environments, prompt engineering for rule/content extraction, and RAGworkflows.</p>