Senior Lead AI Research Scientist – Foundation Models & Agentic AI

**About this role:** Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Lead Quantitative Analytics Specialist **(AI** **R****esearch Scientist Lead – Foundation Models \& Agentic AI**) to drive advanced AI initiatives. This role will lead the development and evaluation of next\-generation Foundation Models, Agentic AI solutions, and Generative AI systems, ensuring they are robust, scalable, and aligned with regulatory expectations. This is a high\-impact opportunity to operate at the intersection of AI innovation and model risk oversight, partnering with business, technology, and risk leaders to bring cutting\-edge AI capabilities into real\-world financial applications that serve millions of customers. **In this role, you will:** * Lead **end\-to\-end research projects in Agentic AI** / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation. * Contribute and lead **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. * Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade\-offs. * Drive the **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. * Publish in top\-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community. **Required Qualifications:** * 7\+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of