Partner with the data and analytics team to integrate retrieval- and LLM-backed features into the lakehouse and analytics layer — embedding and chunking choices, retrieval evaluation, semantic search, summarization, anomaly narration, and contextual guidance for fund office users — with the data team owning pipeline build and operation. Build AI implementations that comply with HIPAA, SOC 2, and NIST — with particular attention to PHI handling, data residency, audit logging, and BAA coverage — and work with information security to apply AI-specific controls including prompt-injection defenses, DLP for LLM interactions, model access governance, and secrets handling.