Senior AI Research Scientist – Foundation Models & Agentic AI

**About this role:** Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Quantitative Analytics Specialist (**AI** **Research Scientist – Foundation Models \& Agentic AI** ) to support the cutting\-edge applied research and development initiatives in Artificial Intelligence, with a focus on building the next generation of Foundation Models, Agentic AI solutions, and Generative AI systems. This role offers a unique opportunity to work at the intersection of AI research and real\-world financial applications that impact millions of customers. **In this role, you will:** * Perform highly complex research projects in AI / Generative AI / Agentic AI / Machine Learning from ideation, experimentation, implementation, evaluation and documentation. * Support building the next generation of foundation models and agentic AI systems \- exploration, application, and rigorous evaluation of emerging AI technologies that solve real\-world challenges. * Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts. * Translate research insights into impactful business solutions, open\-source contributions, patents, and publications. * Contribute to building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data \- both structured and unstructured \- that enhance Wells Fargo's products, services, and operations. * Publish in top\-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community. **Required Qualifications:** * 4\+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education * Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science **Desired Qualifications:** * **PhD** in Computer Scie