Wells Fargo is seeking Agentic AI Senior Lead Data Scientist role as part of the Consumer Model Development CoE. This role is pivotal in leading the development and implementation of cutting-edge Generative AI (GenAI) and Natural Language Processing (NLP) solutions within the Consumer LOB's - Banking, Lending, and WIM divisions.
The successful candidate will lead model development for projects/programs and guide a team of data scientists and collaborate with business and technology partners to drive end-to-end solution design and development for implementing virtual assistants, content generation, agentic frameworks, and others for improving employee/customer experience, driving operational efficiencies, and mitigating risks.
Learn more about the career areas and lines of business at wellsfargojobs.com .
In this role, you will:
- Lead the design, development, and deployment of Agentic AI and NLP/ML models for various consumer-facing applications
- Translate business problems into technical solutions, leveraging advanced GenAI/NLP/ML methodologies
- Collaborate with cross-functional teams to integrate AI solutions into business processes, ensuring scalability and robustness
- Provide mentorship and technical guidance to junior data scientists
- Engage with business stakeholders to communicate insights, model outcomes, and the strategic value of AI initiatives
- Ensure compliance with regulatory requirements and internal risk management policies
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
- Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Demonstrated expertise in leading Agentic AI projects/programs, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production
Desired Qualifications:
- Master's degree or higher in a quantitative field such as Computer or Data Science
- Strong full stack agentic AI skills
- Strong background in GenAi/NLP, machine learning, deep learning, and statistical analysis
- Strong collaboration, coaching, communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders
- Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP),
- Experience in the financial services industry, particularly within consumer banking, lending, wealth and asset management
- Familiarity with regulatory and compliance considerations in AI model deployment
- A track record of published research or patents in AI/ML
Job Expectations:
- Ability to travel up to 10% of the time.
- This position offers a hybrid work schedule.
Posting Location(s):
- 401 S Tryon St. - Charlotte, North Carolina 28202
- 333 Market Street - San Francisco, California 94105
- 401 Las Colinas Blvd. Bldg B - Irving, Texas 752039
- 550 S 4th St - Minneapolis, Minnesota 55415
- 3075 Loyalty Cir. - Columbus, Ohio, 43219
- 800 S Jordan Creek Pkwy. - West Des Moines, Iowa 50266
- 2200 Concord Pike - Wilmington, Delaware 19803
Required locations listed.
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.
$185,000.00 - $300,000.00
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:
16 Oct 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
- 7+ years of quantitative analytics experience or equivalent experience, training, military experience, or education
- Bachelor’s degree or higher in mathematics, statistics, engineering, physics, economics, computer science, or another quantitative discipline
- Expertise leading agentic AI projects, including large language models, generative AI frameworks, and advanced NLP techniques from conception through production
- Master’s degree or higher in computer science, data science, or another quantitative field
- Strong full-stack agentic AI skills
- Strong background in generative AI, NLP, machine learning, deep learning, and statistical analysis
- Strong collaboration, coaching, communication, and presentation skills
- Proficiency in Python, PySpark, TensorFlow, PyTorch, and Google Cloud Platform
- Experience in financial services, particularly consumer banking, lending, wealth management, or asset management
- Familiarity with regulatory and compliance considerations in AI model deployment
- Published research or patents in AI or machine learning
Wells Fargo Compensation & Benefits Highlights
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Retirement Support — Retirement offerings are highlighted by a strong 401(k) with employer matching and added options like after‑tax contributions and an employee stock purchase plan, supporting long‑term savings. These features are presented as competitive elements of the total rewards package.
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Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, often starting on day one for eligible employees, with HSAs/FSAs, wellness incentives, and mental health resources available. Specialized care options, including fertility support, further enhance the health offering.
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Parental & Family Support — Paid parental leave of notable duration is available from the start of employment, alongside adoption/surrogacy/fertility programs. Caregiving and backup care resources deepen the family-oriented support.
Wells Fargo Insights
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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