Agentic AI Architect

We are seeking an experienced Lead Agentic AI Engineer to design, build, and scale agentic AI workflows for enterprise platforms, intelligent processes, and AI-driven client solutions. In this hands-on leadership role, you will architect multi-agent systems, integrate enterprise-grade LLM capabilities across Azure AI Foundry, OpenAI, and Anthropic Claude, and deliver production-ready AI solutions that meet the strict compliance and reliability standards of the insurance and financial services industry. This is a highly hands-on technical leadership role where you will influence architecture, engineering practices, platform direction, and delivery execution. KEY RESPONSIBILITIES Architect and implement multi-agent systems using frameworks such as LangGraph, Semantic Kernel, AutoGen, or CrewAI Design agent orchestration patterns including task decomposition, tool use, context management, memory, and human-in-the-loop (HITL) flows Build reliable agentic pipelines handling document extraction, reasoning, routing, and structured output generation Implement emerging agentic protocols including MCP (Model Context Protocol), Agent-to-Agent (A2A), AG-UI, and CodeAct Code Interpreter patterns Design and evaluate agent skills, manage agent harnesses, and maintain agent capability registries Design AI solutions capable of leveraging multiple LLM ecosystems including Azure OpenAI, OpenAI, Anthropic Claude, and open-source models based on workload characteristics, governance requirements, and cost/performance considerations REQUIRED QUALIFICATIONS Agentic AI & LLM Engineering 12+ years of software engineering experience with 3+ years in AI/ML or LLM-based systems Hands-on experience building production-grade agentic or multi-agent AI workflows Proficiency with GenAI agentic frameworks: LangGraph, Semantic Kernel, AutoGen, CrewAI, or LangChain Working knowledge of agentic protocols: MCP (Model Context Protocol), A2A (Agent-to-Agent), AG-UI, and CodeAct/Code Interpreter patterns Strong experience with context management strategies, agent skill design, agent evaluation, and agent harness construction Proficiency with OpenAI APIs (GPT-4o, function calling, Assistants API) and Anthropic Claude APIs RAG pipeline design: vector databases (Azure AI Search, PostgreSQL pgvector, Cosmos DB), chunking, embedding, and retrieval strategies Ability to pivot across agentic framework approaches and managed agent platforms as the ecosystem evolves Full-stack experience with React; ability to build streaming agent interaction UIs, AG-UI components, and HITL design patterns Strong REST API and webhook design and implementation skills Proficiency in Python (intermediate level) and TypeScript for AI application and backend development #J-18808-Ljbffr IMR Soft LLC