Wells Fargo

LeadArtificialIntelligenceSolutionsConsultant-LeadAIProductOwner

$159–254k Concord, California, United States; Charlotte, North Carolina, United States; Minneapolis, Minnesota, United States; Irving, Texas, United States; Chandler, Arizona, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Artificial Intelligence Solutions Consultant - Lead AI Product Owner at Wells Fargo. Skills: Artificial Intelligence, Product Ownership, AI Infrastructure, Cloud Platforms. Define product vision. Drive product roadmap”

What You'll Achieve.

Support AI use cases; Enable scalable solutions; Enable well-governed AI; Deliver intended benefits

Industry & Context.

Problems you'll solve

Resolve issues

Eligibility Requirements

Not eligible for Visa sponsorship, No relocation assistance

What They're Looking For.

Must Have

5+ years Artificial Intelligence Solutions experience, 2+ years product ownership experience, Hands-on experience with cloud platforms, Hands-on experience with container orchestration

Nice to Have

Hands-on experience with Generative AI services, Experience with hybrid deployment patterns, Experience with cloud-based AI solutions, Familiarity with modern compute platforms, Knowledge of operational best practices, Ability to communicate technical concepts

What You'll Do.

Define product vision

Drive product roadmap

Own AI platform capabilities

Partner with infrastructure teams

Translate business needs

Translate operational priorities

Translate regulatory considerations

Define success measures

Balance financial efficiency

Collaborate with risk stakeholders

Collaborate with security stakeholders

Collaborate with architecture stakeholders

Manage execution risks

Influence stakeholders

Provide strategic direction

Identify AI initiatives

Strategize AI initiatives

Execute AI initiatives

Recommend business strategy

Ensure benefits delivery

Evaluate technological readiness

Evaluate required resources

Make implementation decisions

Resolve development issues

Resolve implementation issues

Consult with colleagues

Consult with managers

How You'll Work.

Team & Collaboration

Engineering teams; Cloud platforms teams; AI product teams; Risk stakeholders; Security stakeholders; Architecture stakeholders; Line-of-business stakeholders

Communication Scope

Technical concepts; Strategic direction

Process & Methodology

Roadmap planning

Full Job Description

**About this role:** Wells Fargo is seeking a Lead Artificial Intelligence Solutions Consultant, as part of the Digital Capabilities team under Digital Technology & Innovation. This role helps shape shared AI platform capabilities that support teams across the enterprise in a hybrid technology environment, including on‑premises and cloud‑based solutions. Learn more about the career areas and lines of business at wellsfargojobs.com. In this role, you will contribute to end‑to‑end product ownership for core AI infrastructure capabilities, working with partners across engineering, cloud platforms, and AI product teams. You will help define and maintain a product roadmap that balances innovation, operational reliability, security, and cost efficiency, while supporting a wide range of AI and advanced analytics use cases. You will work closely with technical and business stakeholders to translate business needs, platform requirements, and governance considerations into clear priorities and outcomes. This includes aligning shared infrastructure capabilities—such as platforms, services, and supporting tooling—into a cohesive experience that enables scalable and well‑governed AI solutions across the enterprise. **In this role, you will:** * Define and drive the product vision and roadmap for enterprise AI infrastructure across hybrid on‑premises and cloud environments, ensuring platforms are scalable, reliable, secure, and cost‑effective. * Own shared AI platform capabilities end‑to‑end, partnering closely with infrastructure, cloud, and engineering teams to deliver solutions that support a wide range of AI and advanced analytics workloads. * Translate business needs, operational priorities, and regulatory considerations into clear product goals, features, and success measures, balancing performance, reliability, security, and financial efficiency. * Collaborate with risk, security, architecture, and line‑of‑business stakeholders to enable well‑governed, production‑ready AI

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