(Summary generated by AI based on the full job description)
The project focuses on building AI products side-by-side with clients, emphasizing rapid prototyping and delivering business-impacting solutions, while shaping the AI business unit strategy. Core technologies include LLMs, Python, LLM APIs, RAG, agent frameworks (LangChain, LangGraph, Semantic Kernel) and developer tools like Claude Code, GitHub Copilot, Cursor. Responsibilities cover working with client teams to turn ideas into products, fast prototyping and user testing, scoping and budgeting projects, building and shipping LLM-powered assistants and agentic integrations, defining success metrics, proposing solutions, and contributing to AI strategy.

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