(Summary generated by AI based on the full job description)
The project focuses on delivering production AI systems that bridge prototypes and shipped products, combining generative and classical AI. Key technologies include Python, LangChain / LangGraph / Semantic Kernel, foundation models, vector databases and major cloud AI ecosystems (Azure/AWS/GCP). Responsibilities cover client-facing leadership (workshops, RFP analysis), designing knowledge‑grounded and agent architectures, scoping and budgeting, defining MLOps/LLMOps, and hands-on technical ownership of deliveries.

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