Agentic AI Senior Lead Data Scientist

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 (https://www.wellsfargojobs.com/career-areas/) .

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

• 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.

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, Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (https://www.wellsfargojobs.com/en/life-at-wells-fargo/benefits) 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.

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-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.