Staff, AI Platform Engineer (UT, US, 84043)

Build the shared product-integrity layer for customer-facing AI systems, enabling reliable evaluation, observability, safety, and launch-readiness. Own golden datasets, regression suites, and offline/online evaluation governance (including LLM-as-judge). Develop monitoring for quality, latency, cost, drift, and customer impact, and create launch gates across camera, agentic, personalization, multimodal, and energy AI products. Partner cross-functionally to define reusable AI standards and operational readiness.