Senior AI Research Scientist - Foundation Models & Agentic AI

Posted 12 Hours Ago
Be an Early Applicant
San Francisco, CA, USA
Hybrid
139K-260K Annually
Senior level
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Conduct advanced AI, generative AI, foundation model, and agentic AI research from ideation through production evaluation. Collaborate with researchers, engineers, data scientists, and domain experts to develop scalable systems using large heterogeneous datasets. Translate findings into financial applications, publications, patents, and open-source contributions. Apply transformer architectures, GPU infrastructure, and modern AI frameworks while supporting software engineering, model deployment, and rigorous model risk management.
Summary Generated by Built In
About this role:
Wells Fargo's Model Risk Management (MRM) team is seeking a Senior Quantitative Analytics Specialist (AI Research Scientist - Foundation Models & Agentic AI - Senior AVP ) 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., 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 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 St, 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.
$139,000.00 - $260,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
  • 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
Posting End Date:
7 Sep 2026
* Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
#BI-Hybrid

Skills Required

  • 4+ years of quantitative analytics experience or equivalent demonstrated through work experience, training, military experience, or education
  • Master's degree or higher in mathematics, statistics, engineering, physics, economics, computer science, or another quantitative discipline
  • PhD in Computer Science, Artificial Intelligence, or a closely related computational field
  • MSc with at least 3 years of relevant applied research or industry experience
  • Research publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP
  • Expertise in foundation models, large language models, large reasoning models, multimodal models, or agentic AI
  • Experience applying generative AI or agentic AI across design, implementation, testing, and iteration
  • Experience with GPU infrastructure, transformer architecture, TensorFlow, PyTorch, Hugging Face, AWS, or GCP
  • Strong engineering background, including collaborative software engineering, version control, code reviews, and scalable system design
  • Experience transferring foundation models, LLMs, and agentic AI systems into production
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The Company
HQ: San Francisco, CA
205,000 Employees
Year Founded: 1852

What We Do

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.

Why Work With Us

We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”

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