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Strong fit if you lead research on foundation models or agentic systems and can ship careful, measurable work in a large financial institution. Less ideal if you want pure academic freedom without compliance and stakeholder overhead, or fully remote work (listing is not remote).
As a Senior Lead AI Research Scientist focused on foundation models and agentic AI at Wells Fargo, expect deep research on large models and multi-step agents, plus translating findings into bank-grade prototypes. Days likely mix literature review, experiment design, model evaluation, and alignment with risk, security, and product stakeholders in a regulated financial setting.
Prioritize foundation-model training/fine-tuning, agent architectures (planning, tools, memory), rigorous evaluation, and production ML hygiene. In banking, add model risk awareness, data governance, and clear communication of research trade-offs to non-research partners.
No—the listing marks remote as 0, with location in Wellston, Saint Louis County, Missouri.
It is a major U.S. financial services company among the Big Four banks, serving tens of millions of customers globally (overview).
Senior research ownership of large models and agents, solid evaluation, and experience applying AI under enterprise risk and governance constraints.
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 to join its Model Risk Management organization in Wellston, Saint Louis County. If you want to shape how a major financial institution builds and validates cutting-edge artificial intelligence, this full-time, on-site role puts you at the center of that work. About the Role Within the Model Risk Management (MRM) team, you will serve as a Senior Lead Quantitative Analytics Specialist focused on advanced AI research. The position centers on guiding the design, development, and rigorous evaluation of next-generation Foundation Models, Agentic AI, and Generative AI systems — making certain these technologies are dependable, scalable, and ready for real-world deployment at enterprise scale. Key Responsibilities Lead research and development efforts across Foundation Models, Agentic AI, and Generative AI initiatives. Build and apply evaluation frameworks that confirm AI systems are robust, reliable, and capable of scaling. Advance the firm's most sophisticated AI programs as a senior technical authority within Model Risk Management. Partner with quantitative analytics and risk teams to align innovative modeling approaches with sound governance. Qualifications Deep expertise in foundation models, generative AI, and agent-based AI systems. Strong quantitative analytics background suited to a senior, lead-level research scientist role. Proven ability to assess AI model performance, robustness, and scalability. Experience translating advanced AI research into trustworthy, production-ready solutions. About Wells Fargo Wells Fargo is a leading diversified financial services company, and its Model Risk Management team plays a critical part in ensuring that emerging AI capabilities meet the highest standards of reliability and accountability. Joining this group in Wellston, Saint Louis County means contributing directly to the responsible adoption of Foundation Models and Agentic AI across the enterprise. How to Apply Ready to lead foundational AI research at Wells Fargo? Submit your application for the Senior Lead AI Research Scientist – Foundation Models & Agentic AI position in Wellston, Saint Louis County through the official listing: View full listing & apply (via Adzuna).
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