Project description
The AI Governance Engineer is the technical production engine behind the bank's AI standards and controls build-out. Working under the direction of the AI Governance & Controls Lead, this role drafts the standards library, engineers controls as implementable and testable requirements, builds control-to-evidence mappings, and produces the documentation and automation that make governance operational rather than aspirational.
This is a technical governance role, not a policy-writing role alone: the engineer works directly with platform capabilities (gateway policies, entitlements, logging), expresses controls in verifiable terms, contributes to policy-as-code and evidence automation where feasible, and validates that what the standard requires is what the platform enforces.
Responsibilities
Standards & Controls Engineering
Draft and iterate the AI standards library under the Lead's direction: model onboarding and approval, oversight tiers, logging/retention, agentic guardrails, data-classification handling, and acceptable use.
Engineer each control as a testable requirement: definition, enforcement point, owner, evidence artifact, and validation method.
Build and maintain obligation-to-control-to-evidence mappings against regulatory guidance and internal policy.
Contribute to policy-as-code and controls-automation approaches with the platform team where controls can be enforced or checked mechanically.
Evidence & Assessment Production
Produce evidence artifacts, control attestations, and assessment documentation for deviations, exceptions, and governance reviews.
Validate platform-generated evidence (audit logs, entitlement records, quota enforcement) against control requirements; document gaps and drive fixes.
Support deviation and exception lifecycle management: drafting, compensating-control documentation, tracking, and closure evidence.
Assemble components of examiner-readiness and audit-response packages.
Governance Operations Support
Support AI Control Group, working group, and committee operations with prepared materials, assessments, and documented decisions.
Maintain the AI use case and agent registry data quality in partnership with intake and platform onboarding.
Document governance processes, runbooks, and templates in bank repositories for FTE handover.
Transfer working knowledge to bank FTEs throughout the engagement.
Skills
Must have
Minimum of 5 years' experience in technology governance, IT risk/controls, security governance engineering, or compliance engineering in a technology environment.
Demonstrated experience writing technical standards, control frameworks, or control documentation that maps to regulatory or policy obligations.
Working technical knowledge of cloud platforms and modern application patterns: APIs and gateways, identity/RBAC, logging and monitoring, environment separation.
Familiarity with AI/GenAI systems sufficient to write accurate, enforceable requirements for model access, oversight, and logging.
Strong technical writing and documentation discipline; able to produce artifacts that survive audit and second-line challenge.
Experience with GRC processes: exceptions, findings, evidence collection, and remediation tracking.
Nice to have
Financial services or other highly regulated industry experience; familiarity with model risk management concepts.
Experience with policy-as-code, compliance automation, or controls testing automation.
Familiarity with NIST AI RMF, SR 11-7/SR 26-2 lineage, or comparable AI governance frameworks.
Azure experience (APIM, Entra ID, Azure Monitor, Key Vault)
Other
Languages
English: C1 Advanced
Seniority
Senior
