Lead AI Engineer

About this role:
The AI Adoption & Internal Capabilities Senior lead plays a critical execution role in scaling AI adoption across CBL. Reporting to the Director, AI Adoption and Internal Capabilities, this role is responsible for translating AI adoption strategy into action-driving enablement, coordinating tool rollouts, tracking adoption and impact, and supporting change management across teams. The Senior Lead operates as a hands-on orchestrator, ensuring AI tools are embedded into day-to-day work in measurable, repeatable, and responsible ways.
Learn more about the career areas and lines of business at wellsfargojobs.com .
In this role, you will:
AI Adoption Execution & Enablement

• Operationalize the Director's AI adoption strategy by driving day-to-day execution of priority initiatives across CBL.
• Coordinate rollout of approved AI tools and platforms (e.g., M365 Copilot and role-based AI tools), partnering with enterprise AI, technology, and business teams to support readiness and adoption.
• Execute role-based AI enablement activities, including training sessions, office hours, playbooks, and communications, ensuring content is practical, actionable, and aligned to real workflows.
• Serve as a primary point of contact for CBL teammates adopting AI tools-answering questions, resolving blockers, and reinforcing responsible AI practices.

Adoption Measurement & Insights

• Track and analyze AI adoption, usage, and engagement metrics across tools, roles, and lines of business, surfacing trends and insights to inform leadership decisions.
• Partner with analytics, product, and enterprise AI teams to translate usage data into clear, business-relevant insights tied to productivity and value realization.
• Prepare recurring adoption dashboards, executive summaries, and readouts for the Director and senior stakeholders, highlighting progress, risks, and recommended actions.
• Identify gaps in adoption or capability enablement and propose targeted interventions to improve outcomes.

AI Community of Practice & Change Enablement

• Support the day-to-day operations of the CBL AI community of practice, including AI Champions engagement, forums, and knowledge-sharing routines.
• Capture and synthesize frontline feedback, success stories, and lessons learned to continuously improve enablement approaches and normalize AI usage.
• Contribute to development and maintenance of AI adoption playbooks, FAQs, and reusable assets that accelerate consistent adoption across teams.

AI Use Case Intake & Portfolio Support

• Support AI use case intake, triage, and tracking processes by coordinating inputs, documenting requirements, and maintaining visibility into status and outcomes.
• Help connect related use cases and adoption efforts across teams to encourage reuse, reduce duplication, and accelerate learning.
• Partner with business, product, and data teams to ensure adoption considerations (training, readiness, measurement) are embedded into AI solutions from the start.

Cross-Functional Collaboration & Execution Excellence

• Work closely with product, engineering, data science, learning, and enterprise AI partners to ensure adoption and enablement efforts are tightly coordinated.
• Demonstrate strong execution discipline by managing dependencies, timelines, and deliverables across multiple concurrent adoption initiatives.
• Proactively identify risks, constraints, or change-management challenges and escalate with clear recommendations.

Professional Growth & Leadership Support

• Build deep fluency in AI tools, enterprise AI direction, and CBL business priorities to effectively support adoption at scale.
• Act as a trusted extension of the Director-representing the adoption agenda in working sessions, forums, and execution-level discussions.

Required Qualifications:

• 7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 7+ years of experience in managing large scale adoption programs (or equivalent practical experience)

Desired Qualifications:

• Experience driving enterprise technology or AI adoption, change management, or enablement initiatives at scale, ideally within a large, matrixed organization.
• Strong analytical and execution skills, with the ability to translate usage data and qualitative feedback into clear insights and recommendations for leaders.
• Demonstrated ability to partner effectively across business, product, technology, analytics, and learning teams to deliver outcomes in a fast-moving environment.
• Previous AI solutions experience in Financial Services is preferred but not required

Job Expectations:

• Ability to travel up to 10% of the time.
• This position offers a hybrid work schedule.

This position is not eligible for Visa sponsorship.
Posting Location(s):

• 401 S Tryon St. - Charlotte, North Carolina 28202
• 333 Market St. - San Francisco, CA 94105
• 2700 S Price Rd. - Chandler, Arizona 85286

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:
5 May 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.