Lead Artificial Intelligence Solutions Consultant...

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 solutions while managing cross-team dependencies and execution risks.

• Influence stakeholders across the organization, provide strategic direction, and mentor team members contributing to complex, enterprise-scale initiatives.

• Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business

• Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges

• Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits

• Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions

• Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders

• Resolve issues which may arise during development or implementation

• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals, 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.

• 5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 2+ years of hands-on product ownership experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift

Desired Qualifications:

• Hands-on experience with crafting and managing public cloud Generative AI services, offerings and hybrid deployment patterns

• Experience working with cloud-based AI or advanced analytics solutions, including exposure to hybrid or enterprise deployment environments

• General understanding of AI or data platforms and the factors that influence performance, scalability, and efficiency

• Familiarity with modern compute platforms or infrastructure technologies, including hardware-accelerated or distributed systems

• Knowledge of operational best practices such as monitoring, cost awareness, and capacity or demand planning for shared platforms

• Strong ability to communicate technical concepts and tradeoffs clearly to a wide range of audiences, including senior leaders

MN- Minneapolis Pay Range: $159,000 - $254,000 Annually

TX- Irving Pay Range: $159,000 - $254,000 Annually

AZ- Chandler Pay Range: $159,000 - $254,000 Annually

CA- Concord Pay Range: $191,000 - $305,000 Annually

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.

$159,000.00 - $305,000.00, Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (https://www.wellsfargojobs.com/en/life-at-wells-fargo/benefits) for an overview of the following benefit plans and programs offered to employees.

• Health benefits

• 401(k) Plan

• Paid time off

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more.