Lead Director, AI Governance Engineering
Core
Lead a lean engineering team to build automated governance-as-code capabilities, including platform-agnostic SDKs, APIs, and controls that enforce responsible AI guardrails and shift workflows from manual approval to registration-driven automation.
Role type
Lead Director, AI Governance Engineering
Builds
Platform-agnostic SDKs, APIs, automated controls, and governance toolkits for ML and Generative AI use cases.
Domain
Health technology / Responsible AI / Software Engineering
Deliverable
production ML models | infrastructure
Required skills
Software or platform engineering team leadership, system architecture (APIs, automation, CI/CD), developer tooling (SDKs, templates), ML and Generative AI lifecycle knowledge, translating risk requirements into scalable technical solutions
Preferred skills
Responsible AI concepts (fairness, transparency, explainability), automated quality gates in Git-based workflows, regulated/high-trust technology environment experience
Technologies
Python, SDKs, CI/CD pipelines, Git
Responsibilities
Design unified intake APIs and automated risk scoring flows; develop governance-as-code toolkits for bias, drift, and safety testing; integrate governance checks into CI/CD pipelines; enable event-driven ingestion into enterprise registries; establish execution safety patterns for AI agents; build and lead the AI Governance Engineering team
Seniority
Director, hands-on IC with team leadership