Lead and grow an Enterprise Architecture team to define company-wide architecture, standards, and guardrails for cloud platforms, developer enablement, and AI/GenAI. Own AI lifecycle governance (LLMOps/MLOps, model/version controls, observability), RAG patterns, agent orchestration, and cross-team alignment to improve developer velocity, reduce technical debt, and ensure cost-efficient, secure, and compliant AI deployments.

Lead evaluation and data strategy for advanced AI, vision, and perception systems. Define metrics, build evaluation frameworks, audit artifacts, prioritize fixes, and translate model behavior into product decisions and data-improvement loops to ensure production readiness and downstream usefulness.

Lead development of map-grounded world foundation models for autonomous driving: train and deploy generative AI (diffusion, transformer, generative video) integrated with simulation platforms, define synthetic data quality frameworks, run PoCs with partners, and translate research into production validation and businessroadmaps to improve perception and planning performance.