Key Responsibilities: Design and build enterprise AI knowledge bases that unify structured, semi-structured, and unstructured data including internal data and third-party data sources (market data, property data, economic indicators, benchmarks, research) to power investment analysis and LLM-driven applications. Data Engineering: Proven expertise designing and operating AI-ready data pipelines using vector databases (Pinecone, Cosmos DB vector, Azure AI Search), relational data stores (SQL / Azure SQL), graph data modeling, and Microsoft Fabric (Lakehouse, pipelines, analytics).