Role OverviewThe AI Governance Engineer serves as the technical production engine behind our client's AI standards and controls build-out, working under the direction of the AI Governance & Controls Lead. This is a technical governance role focused on drafting standards, engineering controls as implementable/testable requirements, building control-to-evidence mappings, and producing documentation and automation that make governance operational.
What You Will Do
Draft and iterate the AI standards library, engineer each control as a testable requirement, build and maintain obligation-to-control-to-evidence mappings, produce evidence artifacts, and validate platform-generated evidence against control requirements.
Why It Might Be a Fit
The ideal candidate will have a minimum of 5 years' experience in technology governance, IT risk/controls, security governance engineering, or compliance engineering, and demonstrated experience writing technical standards or control frameworks mapped to regulatory/policy obligations.
Requirements
- Minimum 5 years' experience in technology governance, IT risk/controls, security governance engineering, or compliance engineering
- Demonstrated experience writing technical standards or control frameworks mapped to regulatory/policy obligations
- Working technical knowledge of cloud platforms and modern application patterns (APIs/gateways, identity/RBAC, logging/monitoring, environment separation)
- Familiarity with AI/GenAI systems sufficient to write enforceable requirements for model access, oversight, and logging
- Strong technical writing and documentation discipline
- Experience with GRC processes: exceptions, findings, evidence collection, remediation tracking
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