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Wells Fargo

Senior Lead AI Research Scientist – Foundation Models, Agentic AI

Wells Fargo

Lead quantitative analytics projects focusing on AI and Machine Learning at Wells Fargo. Collaborate with multi-disciplinary teams to drive innovation in AI technologies.

Posted 6/17/2026full-timeCharlotte • Arizona, California, Iowa, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $185,000 - $300,000 per yearWebsite

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Agentic AIGenerative AIMachine Learningfoundation modelslarge language models (LLMs)data analysisquantitative analyticsdeployment trade-offsresearch methodologyevaluation techniques
Soft Skills
leadershipcollaborationcommunicationproblem-solvinginterdisciplinary teamworkinnovationcritical thinkingadaptabilitytranslating insightsimpactful solution development