Job Title: AI Governance Engineer – Standards & Controls Location: Remote (USA) or on-site in Buffalo, NY / Wilmington, DE (preference for candidates near these locations)
Company Overview Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.
Project Description The 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.
Key Responsibilities
Draft and iterate the AI standards library: model onboarding/approval, oversight tiers, logging/retention, agentic guardrails, data classification, acceptable use
Engineer each control as a testable requirement (definition, enforcement point, owner, evidence artifact, 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
Produce evidence artifacts, control attestations, and assessment documentation for deviations/exceptions
Validate platform-generated evidence (audit logs, entitlement records, quota enforcement) against control requirements
Support deviation/exception lifecycle management: drafting, compensating controls, tracking, closure evidence
Assemble components of examiner-readiness and audit-response packages
Support AI Control Group, working group, and committee operations
Maintain AI use case/agent registry data quality
Document governance processes, runbooks, and templates for FTE handover
Transfer working knowledge to bank FTEs throughout the engagement
Mandatory Skills
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
Nice-to-Have Skills
Financial services or other highly regulated industry experience; familiarity with model risk management
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