AI Risk Management Specialist

Responsibilities Maintains the organization's AI risk taxonomy and assessment methodology, covering safety, fairness, reliability, explainability, robustness, and harmful output risks Develops risk evaluation rubrics for AI-specific risk dimensions (e.g., bias testing protocols, fairness metrics, explainability requirements by use case, drift tolerance thresholds, harmful output tolerances) within the established risk tolerance and acceptance thresholds Develops and maintains templates and standards for risk documentation (model cards, risk assessments, impact analyses, risk scorecards); project teams produce their own documentation using these templates Supports project teams in applying the risk assessment framework and quality gates, escalating high-risk deployments for direct review Executes periodic independent risk audits on a sample basis to verify that federated execution meets the standards; project QAs provide first-line coverage Supports red-teaming and adversarial testing coordination with the Cybersecurity team, focusing on safety, bias, and harmful output dimensions Background & 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 Hands-on experience with model evaluation, bias and fairness testing, or AI red-teaming is a plus Skills AI risk taxonomy and assessment methodology maintenance Developing risk evaluation rubrics: bias testing, fairness metrics, explainability, drift, and harmful output Risk documentation: model cards, risk assessments, impact analyses, and risk scorecards Model evaluation and fairness/safety testing Audit execution and independent risk review Cross-functional collaboration with Engineering and Cybersecurity If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.

The specialist maintains the organization's AI risk taxonomy and develops evaluation rubrics for safety, fairness, and reliability. They support project teams in applying risk frameworks and conduct independent audits to ensure compliance with established standards.

Candidates need experience in AI/ML or model risk management and working knowledge of AI frameworks like NIST and the EU AI Act. Hands-on experience with bias testing and AI red-teaming is preferred.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AI Risk Taxonomy
• Risk Assessment Methodology
• Bias Testing
• Fairness Metrics
• Explainability
• Drift Tolerance
• Model Cards
• Impact Analysis
• Risk Scorecards
• Model Evaluation
• AI Red-Teaming
• Independent Risk Audit
• Cross-functional Collaboration
• NIST AI RMF
• ISO 42001
• EU AI Act

• Data & Analytics
• Technology
• Security & Safety
• Engineering
• Management & Leadership

Expérience minimale

5+ ans

Postuler avant le

16 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level