AI Governance Engineer (Remote Role) - MUST RESIDE IN CANADA

Pozent Corporation; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Pozent Corporation seeks an AI Governance Engineer to drive the standards library, engineer compliant controls, and deliver evidence artifacts for audit readiness. You will work under the AI Governance & Controls Lead to operationalize governance with automation and documentation.

Responsibilities include drafting, mapping to regulatory obligations, and collaborating with platform teams to implement enforcement and testing across cloud environments.

Qualifications

• 5+ years in technology governance, IT risk/controls, or compliance engineering.
• Experience writing standards or control documentation mapped to regulatory obligations.
• Knowledge of cloud platforms, APIs, identity/RBAC, logging and monitoring.
• Familiarity with AI/GenAI systems for model access, oversight, and logging.
• Strong technical writing and audit-ready documentation.

Responsibilities

• Draft and maintain AI governance standards and controls library.
• Map controls to evidence, define enforcement points, owners, and validation.
• Produce evidence artifacts and assessment documentation for audits.
• Support policy-as-code and automation approaches with platform teams.
• Maintain data quality for use cases and registry data.

Skills

Technology governance

Technical writing

Cloud platforms

AI/GenAI governance

GRC processes

Tools

Azure APIM

Azure Entra ID

Azure Monitor

Key Vault

Job description

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.

Overview

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.

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).