This role focuses on the front end of the AI lifecycle and acts as a strategic value orchestrator and context engineer: evaluating opportunities, defining use cases and guardrails, validating value through rapid experimentation, and translating proven patterns (including headless AI architecture patterns) into clear direction for teams that will implement, scale and maintain them across the enterprise. Define and monitor value, quality, risk, and cost metrics (establishing unit economics of compute, evaluating token costs and balancing model accuracy with latency); use insights to recommend whether to scale, refine, pause, or retire AI solutions.