# Principal Engineer - AI Enablement & Adoption at Wells Fargo

Wells Fargo is hiring a Principal Engineer - AI Enablement & Adoption. Level rates it Works on AI ●●●○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/e618f4a0-6dc1-4c42-ad55-7cc37b335c2a?utm_medium=ai-agent).

AI Level 3, AI centrality 74 out of 100. ISELIN, NJ.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 3 (score 74 out of 100)
- Location: ISELIN, NJ
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/e618f4a0-6dc1-4c42-ad55-7cc37b335c2a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-engineer-ai-enablement-adoption-at-wells-fargo-fe731c

## Prepare for this job

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## Description

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),

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principal-engineer-ai-enablement-adoption-at-wells-fargo-fe731c

Source: https://jobsbylevel.com/jobs/principal-engineer-ai-enablement-adoption-at-wells-fargo-fe731c

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-engineer-ai-enablement-adoption-at-wells-fargo-fe731c.

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