Engineer in Residence, AI Regulatory Intelligence & Operations

Engineer in Residence, AI Regulatory Intelligence & Operations Regulated companies receive a constant stream of rules, filings, standards, and guidance, while interpreting changes and proving compliance remains manual. Teams need to know what changed, which obligations are affected, who owns the response, and what evidence will satisfy an audit. This role is to build an AI-native regulatory intelligence and operations system, starting with an AI Fund and AES co-build. What You'll Build A regulatory-source pipeline with versioning, provenance, citations, and change detection. An obligation and impact-mapping system connecting changes to policies, controls, assets, and workflows. An operations workspace that assigns owners, tracks remediation, and collects the evidence needed for review or audit. A trust layer with human approval, traceable reasoning, access controls, and evaluation of missed or unsupported obligations. What You'll Do Own the build across ingestion, retrieval, structured extraction, impact mapping, workflow orchestration, and deployment. Work with AI Fund and domain users to define the first regulatory workflow, pilot scope, success metrics, and MVP cut line. Design a system that keeps source evidence and uncertainty visible at every important decision point. Build evals for change detection, obligation extraction, citations, missed requirements, and workflow completion. Make infrastructure and security choices that support a fast pilot without blocking enterpr