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Wells Fargo

AI Research Scientist, Foundation Models & Agentic AI

Posted 3 Hours Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
100K-196K Annually
Junior
Hybrid
San Francisco, CA, USA
100K-196K Annually
Junior
Conduct applied AI research across foundation models, generative AI, agentic AI, and machine learning. Support ideation, experimentation, implementation, evaluation, and documentation of scalable systems using structured and unstructured data. Collaborate with researchers, engineers, data scientists, and domain experts to translate research into financial applications, publications, patents, and open-source contributions. Contribute to model governance, validation efficiency, risk management, and production deployment of AI systems.
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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.

Required Qualifications:
  • 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 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.
$100,000.00 - $196,000.00
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:
1 Nov 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.
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Wells Fargo San Francisco, California, USA Office

420 Montgomery St, San Francisco, CA, United States, 94103

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