Leads the design and productionization of machine learning systems for enterprise and agentic search. Owns document understanding, embeddings, semantic representations, indexing, model lifecycle management, evaluation, monitoring, and continuous improvement. Designs scalable distributed-data systems balancing relevance, freshness, reliability, latency, and cost. Sets technical direction, drives cross-team initiatives, mentors engineers, and translates customer problems into measurable ML and systems outcomes.