Lead Agentic AI Architect

This role involves designing and leading end-to-end agentic AI architectures for enterprise-scale GenAI solutions, including multi-agent systems and advanced RAG implementations. The position requires owning the LLM strategy, developing high-performance Python systems, and ensuring security and governance standards are embedded across all solutions. It also encompasses leading prompt engineering, optimizing vector databases, and implementing LLM evaluation frameworks to measure quality and reliability.