AI Architect Agentic AI Architect

Design and build AI Agent / Agentic AI frameworks, develop and manage 80+ AI Agents, design Multi-Agent Architecture & Orchestration, build reusable agents, tools, workflows, and templates, implement LLM, RAG, Tool Calling & MCP, integrate AI Agents with APIs, databases, and enterprise applications, implement AI security, governance, monitoring & guardrails, build Agent Catalog / Registry, lead enterprise AI Agent development and deployment. Requirements include experience as AI Architect / Agentic AI Architect, built an Agentic AI Framework from scratch, built 80+ AI Agents, proficiency in Generative AI / LLM, Python, AI Agents & Multi-Agent Systems, Agent Orchestration, RAG, Vector Databases & Embeddings, Tool / Function Calling, MCP, LangGraph / LangChain / LlamaIndex, AI Agent Monitoring, Evaluation & Guardrails, AI Security, RBAC, SSO & Governance.