Lead hands-on development of generative AI products grounded in enterprise knowledge. Design LLM, embedding, multimodal, fine-tuning, retrieval-augmented, and agentic solutions; rapidly prototype and evaluate GenAI applications; and scale successful experiments into production systems. Provide technical direction to a tiger team, mentor engineers and scientists, influence retrieval and serving architecture, shape innovation strategy, and promote responsible AI, groundedness, and data quality.