7-10 years of experience across AI engineering or enablement, data engineering, analytics engineering, platform engineering, data products, or related roles, including demonstrated experience guiding technical adoption across teams. Strong understanding of modern AI enablement concepts including retrieval-augmented generation, grounding, prompt and context orchestration, tool calling, agentic workflows, memory patterns, human-in-the-loop controls, and model integration grounded in governed data assets.