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The Lead AI Research Scientist will define a 24-month research vision for enterprise AI, lead a team of researchers, and work on production-ready solutions while engaging with customers to validate insights.

Lead product strategy and execution to build an AI-powered analytics platform delivering intelligence, insights, and context via data virtualization, knowledge graphs, federated queries, embeddings, and natural language interfaces. Define category vision, partner with engineering and customers, own roadmap from 0-to-1, ensure governance/security, and drive adoption with product marketing and sales.

Lead design and implementation of scalable search and retrieval systems using ML-driven relevance (learning-to-rank, embeddings, transformers). Build indexing, query construction, entity recognition, and evaluation pipelines; collaborate with product and research to improve search relevance and performance at scale.