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.
