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About the Role
The Director of Responsible AI will lead the vision, implementation, and oversight of Schwab’s responsible AI development strategy for client-facing AI solutions. This role will focus on building rigorous frameworks that combine automated evaluations with human review to support trustworthy, well-governed AI experiences for Schwab clients. The Director will partner closely with legal, risk, compliance, product, engineering, and research teams to embed responsible AI development practices into how client-facing AI solutions are designed, tested, evaluated, and improved. By creating clear standards, repeatable processes, and strong cross-functional alignment, this role will help Schwab proactively manage AI risks while enabling responsible innovation at scale.
Responsibilities
- Lead Schwab’s responsible AI development strategy for client-facing AI solutions.
- Establish frameworks, standards, and operating practices to evaluate, monitor, and improve AI experiences responsibly.
- Design rigorous evaluation approaches combining automated testing with human review.
- Partner across product, engineering, research, legal, risk, and compliance teams.
- Embed responsible AI practices into the full development lifecycle.
- Translate emerging AI risks, regulatory expectations, and enterprise standards into practical guidance.
- Create repeatable processes that enable innovation, strengthen trust, and support responsible AI at scale.
Requirements
- 8+ years of experience in risk management, compliance, responsible AI, AI safety, applied AI research, model evaluation, or a related field, with at least 2 years focused on AI systems.
- Experience leading or overseeing applied research programs in Responsible AI, AI safety, human-centered AI, sociotechnical systems, AI risk, model evaluation, or related fields.
- Demonstrated ability to analyze how AI systems affect people, workflows, clients, institutions, incentives, and decision-making contexts.
- 3+ years of experience developing and implementing AI risk management or responsible AI development frameworks in collaboration with legal, compliance, risk, privacy, cybersecurity, product, engineering, or research teams.
- Working knowledge of modern AI systems, including generative AI and agentic AI, sufficient to challenge assumptions, interpret research findings, and make risk-informed decisions.
- Experience operationalizing responsible AI development practices through governance processes, risk assessments, model documentation, testing, monitoring, and issue escalation.
- Experience translating applied AI, Responsible AI, AI safety, human-centered AI, sociotechnical systems, or model evaluation research into practical standards, controls, guidance, or product development practices.
- Proven ability to influence senior leaders and build alignment across technology, product, legal, risk, compliance, privacy, cybersecurity, internal audit, and research teams.
Skills
- Responsible AI
- AI safety
- AI risk management
- Model evaluation
- Generative AI
- Agentic AI
Location
- San Francisco
Work Type
- On-site
Experience Level
- 8+ years
- 2+ years focused on AI systems
- 3+ years developing and implementing AI risk management or responsible AI development frameworks
Education Level
- Advanced degree or equivalent applied experience in computer science, data science, human-computer interaction, social science, public policy, ethics, law, risk management, or a related field.
Salary/Compensations
- In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
About the Company
- At Schwab, your career is more than a job—it's an opportunity to impact the lives of millions.
- Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration.
- Schwab’s AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab.
- We are an integrated product, engineering, research, risk, and enablement team focused on advancing AI responsibly across the enterprise.
- We help shape the enterprise vision for AI, invest in the most promising opportunities, accelerate delivery across the company, and build the core platform that powers AI at scale.