Demonstrated professional experience leading, managing, architecting, or delivering production AI or LLM platforms or applications, with credible fluency across several of the following: agent systems, semantic engineering, retrieval, data science, data engineering, data governance, knowledge graphs, evaluation, responsible AI, and production AI operations. Partner with Director, AI Strategy and Enablement, Product Owners, Business Analysts, Project Managers, architecture contributors, and AI Engineer Technical Leads to translate strategic and architectural direction into objectives, decision context, capability needs, dependencies, risks, and intake-ready work.