Job Description, Responsibilities & Requirements
About the Position
We are seeking an AI Governance Engineer – Standards & Controls to draft AI standards, engineer controls, and ensure compliance with regulatory guidance.
Responsibilities
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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.
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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.
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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.
Requirements
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)
We Offer
- Competitive salary
- Opportunity to work remotely
- Professional development opportunities
About the Company
[Company description if present]
Languages
- English: C1 Advanced
Seniority
- Senior
Locations
- Wilmington, US, Delaware
- Buffalo, US, New York
- Remote United States
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