About this role:

Wells Fargo is seeking a Principal Engineer, AI Enablement & Adoption to help accelerate the responsible and practical adoption of Artificial Intelligence across the organization.

This highly visible role sits at the intersection of AI engineering, technical enablement, learning, and adoption. The Principal Engineer will create and build AI solutions and technical content, develop reusable resources and demonstrations, deliver hands-on training, and partner with teams to turn emerging AI capabilities into practical business outcomes and be responsible for defining and executing Tech's AI learning and development strategy.

The ideal candidate is a builder, educator, and technical influencer who can simplify complex AI concepts, create compelling learning experiences, and help teams confidently move from AI awareness to experimentation, implementation, and adoption.

In this role, you will:

• Design, prototype, and build AI, Generative AI, Agentic AI, automation, and intelligent workflow solutions that demonstrate practical business applications.
• Develop engaging AI technical content, including demonstrations, learning experiences, reference implementations, playbooks, use cases, labs, templates, and implementation guidance.
• Design and deliver workshops, technical demonstrations, hands-on training, and enablement sessions for technical and business audiences.
• Partner with teams to identify meaningful AI opportunities and translate business needs into practical AI-enabled solutions and workflows.
• Create reusable AI assets, including agents, prompts, workflows, prototypes, technical examples, and implementation patterns that accelerate adoption.
• Coach teams through the AI adoption lifecycle, helping them explore capabilities, build and test solutions, refine approaches, and incorporate AI into existing ways of working.
• Translate emerging AI technologies into clear, actionable guidance, communicating capabilities, limitations, implementation considerations, and appropriate use cases.
• Evaluate emerging AI technologies, platforms, and frameworks and recommend approaches based on business value, technical requirements, risk, and scalability.
• Incorporate security, data protection, access controls, testing, evaluation, observability, governance, and human oversight into AI solutions and enablement materials.
• Develop reusable standards, best practices, and lessons learned that enable successful AI approaches to scale across teams.
• Partner with engineering, architecture, product, cybersecurity, risk, governance, and business stakeholders to enable responsible AI implementation.
• Serve as a technical advisor and advocate for AI adoption, helping leaders and teams understand emerging capabilities, technical tradeoffs, and implementation opportunities.
• Mentor engineers and practitioners and contribute to a culture of experimentation, continuous learning, innovation, and responsible AI adoption

Required Qualifications:

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 7+ years of experience leading large-scale transformation, Learning & Development, Organizational Effectiveness, change management, adoption and workforce enablement programs across multiple organizations.
• 4 years of experience supporting Artificial Intelligence (AI), Generative AI (GenAI), data, or emerging technology initiatives.

Desired Qualifications:

• Experience designing, developing, or implementing Generative AI, Agentic AI, intelligent automation, or other emerging technology solutions.
• Experience creating and delivering technical learning content, workshops, demonstrations, hackathons, enablement programs, or hands-on training.
• Hands-on programming or solution development experience using Python, Java, C#, C++, or comparable programming languages.
• Experience with AI agents, prompt and tool design, retrieval-augmented generation (RAG), orchestration, model evaluation, observability, and human-in-the-loop solutions.
• Experience with enterprise AI and automation platforms such as Microsoft AI technologies, Copilot Studio, Power Automate, UiPath, or comparable platforms.
• Experience developing proofs of concept, prototypes, reusable technical assets, reference implementations, and solution demonstrations.
• Experience supporting technology adoption through technical coaching, enablement, implementation guidance, and change-focused activities.
• Experience evaluating emerging technologies and translating findings into practical engineering or adoption recommendations.
• Knowledge of responsible AI practices, including security, data protection, access management, testing, auditability, governance, and human oversight.
• Experience collaborating across engineering, architecture, product, business, risk, cybersecurity, and governance organizations.
• Strong presentation, facilitation, technical storytelling, and stakeholder communication skills.
• Demonstrated ability to influence technical direction and adoption while maintaining hands-on involvement in solution development

Job Expectations:

• Provide strategic technical leadership while remaining hands-on with AI technologies and solution development.
• Create and deliver AI technical content, demonstrations, learning experiences, and adoption resources.
• Facilitate workshops and training for both technical and business audiences.
• Collaborate across technology and business organizations to accelerate responsible AI adoption.
• Maintain awareness of emerging AI technologies and translate relevant capabilities into practical enterprise applications.

• This position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship

Pay Range
 

Posting End Date:

*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.

c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.