Client Service Risk Manager - AI Evaluation and Testing

Client Service Risk Manager – AI Evaluation and Testing

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day?
If this sounds like you, you’ve come to the right place.

You will work within the firm’s Technology Risk function as the Client Service Risk Manager, of AI Evaluation and Testing, ensuring our firm’s strong ability to evaluate and validate AI systems, including those used and built internally and in client contexts by consultants for reliability, safety, security, and regulatory compliance.

You, as the lead in AI evaluation and testing, will define the vision and strategic roadmap for AI control objectives and testing. You will establish frameworks, requirements, and guidance to assess behavior and ensure reliability (including accuracy, bias, and other factors) across various modalities such as text, code, multimodal systems, and agents. Additionally, you will define and prioritize the requirements for tooling solutions that support AI governance, observability, and testing for all relevant AI systems and agents.

You will also develop or validate frameworks and methodologies for conducting red‑team attacks on AI systems (jailbreaks, prompt injections, system prompt extraction). You will partner with first line of defense to implement evaluation gates and build a control environment with appropriate technical guardrails to ensure compliance with applicable regulations (e.g., the EU AI Act).

You will report directly to the Associate Director of Client Service Risk, Technology Knowledge & Frameworks, within the firm’s global Risk function. You will partner closely with Legal, Risk teams, Technology and Product teams to develop consistent and scalable RAI control objectives and testing methodologies.

You will support updates to existing robust policies and standards in line with development in AI capabilities (e.g., agentic).

Your collaboration will extend to various roles and functions across the firm, including senior leadership, to whom you will present and gain support for your strategy and program, report progress, and demonstrate impact.

You are someone who thrives in a high‑performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.

In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well‑rounded professional, and contribute to work that truly makes a difference.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• Exceptional benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.

• U.S. Bachelor’s degree or equivalent work experience required
• 8+ years in Trust & Safety (AI/ML), risk, or security domains with a Data Science background; the scope of the models includes traditional ML models, GenAI and agentic deployments
• 5+ years managing complex…