Your opportunity

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. We value in-person teamwork, so this role is based on-site at our San Francisco office.

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.

What you have

Required Qualifications

• 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.  

Preferred Qualifications 

• Experience operationalizing responsible AI development practices through governance processes, risk assessments, model documentation, testing, monitoring, and issue escalation. 
• 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. 
• 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. 

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.