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Strong fit if you lead applied AI research under enterprise constraints and can partner across risk, product, and engineering at a large regulated bank in Charlotte.
As Senior Lead AI Research Scientist for foundation models and agentic AI at Wells Fargo, expect research design, model evaluation, and safety/governance work aligned to banking constraints. Days mix literature review, experiments, stakeholder reviews with risk and product partners, and mentoring on agentic workflows for enterprise use cases.
Prioritize foundation-model training/adaptation, agent architectures, evaluation/red-teaming, and regulated-industry MLOps. Strengthen Python research stacks, distributed training, retrieval/tool-use agents, and clear communication with risk and compliance partners. No certification list was provided for this occupation family.
The listing is not remote; location is Charlotte, Mecklenburg County, North Carolina.
It is a major U.S. bank and multinational financial services company (ticker WFC).
The title centers on foundation models and agentic AI at senior lead level.
Website: wellsfargo.com
Wells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide. It is a systemically important financial institution according to the Financial Stability Board, and is considered one of the "Big Four Banks" in the United States, alongside JPMorgan Chase, Bank of America, and Citigroup.
Public cache only — not an employee review.
Wells Fargo is hiring a Senior Lead AI Research Scientist - Foundation Models & Agentic AI in Charlotte, Mecklenburg County, to push the frontier of applied artificial intelligence within one of the nation's leading financial institutions. If you thrive at the intersection of cutting-edge research and real-world model risk, this full-time role offers a rare chance to shape how next-generation AI systems are built, tested, and trusted. About the Role Within the Model Risk Management (MRM) organization, this position carries the internal title of Senior Lead Quantitative Analytics Specialist and leads advanced AI research initiatives across Wells Fargo. You will guide the design, development, and rigorous evaluation of Foundation Models, Agentic AI, and Generative AI systems—ensuring each is dependable, scalable, and ready for enterprise-grade demands. Key Responsibilities Spearhead research and development efforts focused on Foundation Models, agent-based AI architectures, and generative systems. Define and apply evaluation frameworks that confirm AI models are robust, reliable, and able to scale across the business. Champion advanced AI programs that strengthen the firm's model risk practices and analytical capabilities. Collaborate with quantitative analysts and risk partners to translate emerging research into sound, production-ready solutions. Qualifications Deep expertise in foundation models, agentic AI, and generative AI methods, paired with a strong quantitative analytics background. Demonstrated ability to lead AI research and model evaluation at a senior, hands-on level. Experience building or assessing AI systems for robustness and scalability, ideally in a regulated or high-stakes setting. Skill in partnering across technical and risk-focused teams to deliver trustworthy outcomes. About Wells Fargo Wells Fargo is a major U.S. financial services company where model integrity and disciplined risk management are central to the mission. The Model Risk Management team works to ensure that the analytics and AI powering the firm meet the highest standards of accuracy and resilience. This role is based on-site in Charlotte, Mecklenburg County, and is not a remote position. How to Apply Ready to lead foundational AI research at Wells Fargo in Charlotte? Submit your application for the Senior Lead AI Research Scientist - Foundation Models & Agentic AI role through the official listing.…
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