AI Risk Management Specialist
On-siteLondon, Ontario, Canada
Job Summary
Maintain the organization's AI risk taxonomy and assessment methodology, covering safety, fairness, reliability, explainability, robustness, and harmful output risks. Develop risk evaluation rubrics for AI-specific dimensions such as bias testing protocols, fairness metrics, and drift tolerance thresholds. Create and update templates for risk documentation including model cards, impact analyses, and risk scorecards to standardize project team outputs. Support teams in applying the risk assessment framework and quality gates, escalating high-risk deployments for direct review. Execute periodic independent risk audits to verify federated execution standards and coordinate red-teaming and adversarial testing with the Cybersecurity team. Requires experience in AI/ML risk management and familiarity with frameworks like NIST AI RMF and the EU AI Act.
Required Qualifications
- Experience in AI/ML risk management, model risk management, technology risk, or a related analytical function
- Working knowledge of AI-specific frameworks and legislation (NIST AI RMF, ISO 42001 & 23053, EU AI Act, and the proliferating landscape of US state-level AI legislation)
- Familiarity with risk assessment across safety, fairness, reliability, explainability, and robustness dimensions
Desired Qualifications
- Hands-on experience with model evaluation, bias and fairness testing, or AI red-teaming is a plus
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