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Senior Lead AI Research Scientist – Foundation Models & Agentic AI

Job in Saint Louis, St. Louis city, Missouri, 63101, USA
Listing for: Wells Fargo
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations, Data Scientist
Job Description & How to Apply Below

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

Wells Fargo's Model Risk Management (MRM) team is seeking a Senior Lead Quantitative Analytics Specialist (AI Research 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 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 / research innovation or industry experience building foundational models.
  • 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…

Position Requirements
10+ Years work experience
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