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About the role
- Lead Control Evidence & Assurance for AI controls at RBC. Designing evaluation frameworks and partnering across the enterprise to ensure audit-readiness and control efficacy.
Responsibilities
- The Control Evidence & Assurance Lead is a senior technical leadership role responsible for ensuring AI controls are working through rigorous evaluation and documentation.
- You will design and assure the effectiveness of the evaluation framework that verifies the controls operate effectively
- Partner with control owners across the enterprise to maintain control efficacy
- Generate audit-ready evidence that proves controls reduce risk
- Translate control requirements into testable assertions
- Establish evidence traceability
- Ensure documentation meets regulatory and audit standards
- Partner closely with and inform the Governance Design Lead and Runtime Governance
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Engineering, Risk Management, Systems Engineering, or related field with proficiency in evaluation frameworks and tools
- You have built and implemented evaluation frameworks that verify AI controls operate as intended and produce defensible, audit-ready evidence.
- You have demonstrated ability to review system architecture, evaluate technical implementations, and understand code well enough to validate that controls are effective.
- Hands-on coding experience (python) is a strong asset.
- You thrive in partnerships.
- Professional certifications in quality assurance, risk management, or auditing (e.g., FRM, CISM, CIA, or equivalent)
- Good understanding of LLM evaluation methodology including grounding, factuality, policy compliance, and adversarial testing
- Advanced degree in Computer Science, Mathematics, Engineering, Risk Management, or related discipline
- Direct experience with output assurance, content moderation, policy compliance evaluation at scale, or model risk management control design and verification
- Experience with adversarial attack methods, robustness testing, model monitoring systems, drift detection, or regulatory testing requirements (e.g., bias testing, fairness assessment)
Benefits
- A comprehensive Total Rewards Program including bonuses
- flexible benefits
- competitive compensation
- stock where applicable
- Leaders who support your development through coaching and managing opportunities to build deep expertise in AI evaluation and control verification
- Flexible work/life balance options that support your professional and personal priorities
- Opportunities to take on challenging, technical work that shapes how AI controls are verified and how evidence is captured for governance
- Access to cutting-edge evaluation tools and methodologies with opportunities for continuous learning and professional growth
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Governance Design & Framework Lead defining AI usage risk classifications and establishing controls at RBC. Translating business and regulatory requirements into comprehensive governance frameworks.
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