Senior AI Research Scientist – Foundation Models & Agentic AI

Senior Quantitative Analytics Specialist (AI Research Scientist – Foundation Models & Agentic AI)

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 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., Git Hub 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 Tensor Flow, 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 work onsite at stated location on the job posting
• This position is eligible for VISA sponsorship

Job Posting Locations:

• Three Wells Fargo Center, CHARLOTTE, NC
• 600 Wells Fargo, MINNEAPOLIS, MN
• Las Colinas Bldg B, Irving Campus, IRVING, TX
• West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
• D Building,114N Beaumont St
  -D Bldg., SAINT LOUIS, MO
• 1150 W Washington, TEMPE, AZ
• 333 Market, SAN FRANCISCO, CA

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$ - $

Benefits

Wells Fargo provides eligible employees with a…