Wells Fargo hires AWS AI executive Faraz Shafiq to lead AI products
Wells Fargo will appoint Faraz Shafiq, AWS Gen AI and agentic AI field CTO, as head of AI Products and Solutions on Feb. 9, reporting to Co-CEO Saul Van Beurden. Shafiq’s 15 years at AWS, Verizon, AT&T and Google will guide the bank’s vision and roadmap for enterprise AI-powered products.
1. Leadership Appointment Strengthens AI Strategy
Wells Fargo & Company has appointed Faraz Shafiq, formerly field chief technology officer for generative and agentic AI at Amazon Web Services, as Head of AI Products and Solutions effective February 9. In this role, Shafiq will report directly to Saul Van Beurden, Co-CEO of Consumer Banking and Lending and Head of AI, and will be based in San Francisco. His remit includes setting the vision, roadmap and execution for AI-powered banking products across retail, commercial and wealth management lines, positioning the bank to accelerate deployment of generative and agentic AI at scale.
2. Accelerating AI Adoption and Impact
Under Van Beurden’s leadership since November, Wells Fargo has already trained over 90,000 employees on AI tools, rolled out solutions to more than 180,000 desktops and delivered generative AI coding assistants that improved developer productivity by 30 to 35 percent. Shafiq’s track record at AWS—where he led platform scaling for enterprise AI initiatives—will be leveraged to expand these capabilities into customer-facing use cases such as automated underwriting, real-time fraud detection and personalized financial advice, driving both efficiency gains and enhanced service quality.
3. Building on Strategic Partnerships and Responsible AI
The bank’s expanded collaboration with Google Cloud to deploy AI agents across business units last August laid the groundwork for enterprise-wide automation. Shafiq has emphasized responsible AI practices, aligning with Wells Fargo’s risk management framework and regulatory requirements. His mandate includes strengthening governance structures, embedding fairness and transparency controls in model development, and collaborating with business leaders to integrate AI securely into credit decisioning, customer service bots and compliance monitoring systems.