Engineer in Residence, AI Regulatory Intelligence & Operations
Technologies
Generative AI · full-stack · rapid prototyping · AI frameworks
About AI Fund
Venture studio that co-founds AI startups from idea to launch, pairing internal concepts with external founding CEOs/CTOs across healthcare, fintech, logistics, and enterprise.
Private Late
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
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 w [... source excerpt omitted ...] , full-time, on-site residency in Mountain View, California. Not every residency becomes a company. The goal is to pressure-test the idea quickly and honestly with real users and customers. You will be building an AI Fund idea, not bringing your own startup idea into the program. The process typically includes a Builder Event or equivalent working conversation, then a 48-hour Builder Challenge, then panel review with AI Fund build leadership. The compensation is intentionally modest during the residency because the upside, if the idea works, is a founder-level role. Compensation $10,000/month for 12 weeks ($30,000 total). This is a contract role during the residency. If the
Employer postings · Data from · Sources