AI Research Scientist, Foundation Models & Agentic AI

About this role: Wells Fargo is seeking a Quantitative Analytics Specialist - AI Research Scientist for Foundation Models & Agentic AI to join the Frontier AI Model Methodology team. This team plays an important role in developing and implementing methodologies, AI agents, and technology solutions that help improve and accelerate model development and validation processes across the organization. In this role, you will 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. You will contribute to the development of innovative tools and methodologies that enhance model governance, validation efficiency, and overall risk management practices. This role offers a unique opportunity to work at the intersection of AI research and real-world financial applications that impact millions of customers. Success in this role requires strong analytical and technical skills, a willingness to learn emerging AI technologies, and the ability to work effectively within cross-functional teams to deliver scalable and reliable solutions. In this role, you will: Support 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.

2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline Desired Qualifications: PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research or industry experience. Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers. Deep expertise in one or more specialized areas, including but not limited to: Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face , AWS, GCP. Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design. Experience with transferring foundation models, LLMs, and agentic AI systems in production Job Expectations: This position offers a hybrid work schedule Willingness to