Senior AI Solutions Consultant, Talent Management & Learning

Wells Fargo • Minneapolis, MN

1d • $139,000 - $239,000 • Hybrid

About The Position

About This Role: Wells Fargo is seeking a Senior AI Solutions Consultant to join the Talent Management & Learning (TML) organization. This role operates at the intersection of business strategy, enterprise AI enablement, and responsible delivery, partnering with leaders to identify and advance AI-enabled solutions that scale across a regulated financial services environment. The AI Solutions Consultant focuses on applying AI to improve productivity, streamline operations, and accelerate delivery across a broad portfolio of learning, talent, and capability-building programs. The role emphasizes enterprise-ready AI use cases, including intelligent agents, workflow automation, and productivity optimization, designed in alignment with Wells Fargo’s AI governance, risk management, data, and control frameworks. This position acts as a trusted advisor, translating complex business challenges into well-defined, compliant, and scalable AI use cases while ensuring alignment with enterprise operating models, delivery standards, and responsible AI principles. For additional information on this line of business, please refer to the external Careers Site at www.wellsfargojobs.com In This Role, You Will: Partner with business, operations, risk, technology, and learning stakeholders to identify AI opportunities that deliver measurable value and align with enterprise priorities.

Requirements

• 4+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• AI consulting experience supporting enterprise scale initiatives or internal transformation programs.

Nice To Haves

• Proven ability to translate business and learning objectives into AI-based solutions, including the design of intelligent agent workflows (e.g., design agents, facilitator agents).
• Strong understanding of AI use cases relevant to enterprise environments, such as multi-channel information retrieval, workflow enablement, estimation support, and productivity optimization.
• Experience operating within fast-cycle delivery models while adhering to enterprise controls and governance expectations.
• Exposure to Talent Management & Learning (TML) programs, with an understanding of enterprise productivity, capability building, and change enablement.
• Demonstrated ability to partner across functions and present structured, risk-aware recommendations to senior leaders.

Responsibilities

• Engage cross-functional teams and leaders to identify, assess, and prioritize AI use cases across TML, balancing innovation with regulatory, data, and governance considerations.
• Identify execution risks, dependencies, or governance gaps early and partner with delivery and control teams to address them proactively to support responsible AI implementation-at-scale.
• Shape AI-enabled solutions by applying knowledge of intelligent agents, workflow automation, and productivity tools within established enterprise AI frameworks.
• Translate business and learning challenges into actionable, governance-aligned solution concepts, informing agent design, workflows, and execution approaches.
• Contribute to AI solution roadmaps that align with enterprise delivery models, change management expectations, and dependency management.
• Collaborate with peers, managers, and cross-functional partners to sustain progress across multiple AI initiatives within a complex enterprise environment.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed