About this role:
Wells Fargo is seeking an Enterprise AI Platform- GPU & LLM Infrastructure Product Manager (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation. Learn more about the career areas and lines of business at wellsfargojobs.com.
You will define and lead the product strategy for Wells Fargo's enterprise-scale LLM/SLM inference GPU platform. In this role, you will partner closely with GPU hardware and platform engineering teams to translate customer needs and business objectives into a clear, prioritized roadmap with measurable outcomes.
You will own capabilities across high-performance model inferencing, GPU orchestration, and platform services, including vLLM, NVIDIA/Run:AI, and Red Hat OpenShift AI. The role also encompasses API productization, observability and evaluation, reliability and SLOs, and compliant end-to-end lifecycle management to enable secure, scalable, and enterprise-ready AI solutions.
In this role, you will:
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 AnnuallyPay 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
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
8 Feb 2026
* 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.
Wells Fargo is seeking an Enterprise AI Platform- GPU & LLM Infrastructure Product Manager (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation. Learn more about the career areas and lines of business at wellsfargojobs.com.
You will define and lead the product strategy for Wells Fargo's enterprise-scale LLM/SLM inference GPU platform. In this role, you will partner closely with GPU hardware and platform engineering teams to translate customer needs and business objectives into a clear, prioritized roadmap with measurable outcomes.
You will own capabilities across high-performance model inferencing, GPU orchestration, and platform services, including vLLM, NVIDIA/Run:AI, and Red Hat OpenShift AI. The role also encompasses API productization, observability and evaluation, reliability and SLOs, and compliant end-to-end lifecycle management to enable secure, scalable, and enterprise-ready AI solutions.
In this role, you will:
- 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
- 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 experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift
- 2+ years of experience working on platform or ML/AI infrastructure products within regulated environments
- 2+ years of experience of proven success owning an API or platform with accountability for SLAs/SLOs, including versioning and deprecation strategies, change management, and reliability outcomes
- Strong communication skills, with the ability to influence senior stakeholders and clearly explain complex technical concepts to diverse audiences
- Working knowledge of LLM/SLM inference stacks, including vLLM, Triton, and TensorRT-LLM, as well as batching strategies, KV cache management, quantization techniques (e.g., FP8, INT4), and evaluation frameworks-sufficient to make informed product trade-offs with engineering teams
- Familiarity with GPU and platform fundamentals, such as modern GPU architectures (e.g., H100/H200), MIG and NCCL, GPU orchestration tools (NVIDIA/Run:AI), and Kubernetes/OpenShift AI administration and admission control patterns
- Experience building developer-centric platforms, including APIs, SDKs, and structured release and governance processes
- Hands-on experience with observability and evaluation for GenAI systems, including dashboards, tracing, alerting, and safety and quality metrics
- Demonstrated strength in stakeholder management, partnering effectively across Risk, Security, Architecture, and line-of-business application teams
- Position offers a hybrid work schedule
- This position is not eligible for Visa sponsorship
- 300 South Brevard Street, Charlotte, North Carolina 28202
- 550 South 4th Street, Minneapolis, Minnesota 55415
- 401 Las Colinas Blvd W Bldg A, Irving, Texas 75039
- 2190 Willow Pass Road, Concord, California 94520
- 2600 S Price Road, Chandler, Arizona 85286
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 AnnuallyPay 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
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- 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
8 Feb 2026
* 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.
Top Skills
Azure
Docker
Fp8
GCP
Gpu
Int4
Kubernetes
Llm
Nvidia
Red Hat Openshift Ai
Run:Ai
Slm
Tensorrt-Llm
Vllm
Wells Fargo San Francisco, California, USA Office
420 Montgomery St, San Francisco, CA, United States, 94103
Similar Jobs at Wells Fargo
Fintech • Financial Services
Wells Fargo seeks a Branch Manager responsible for leading and developing a team, enhancing customer engagement, and ensuring compliance with regulations. The role includes coaching staff, resolving customer issues, and managing operations to drive business growth while adhering to financial and risk policies.
Fintech • Financial Services
Lead the development of Infrastructure as Code components, design GitOps workflows, and improve infrastructure automation while mentoring other engineers.
Top Skills:
AnsibleArgocdAWSAzureGCPKubernetesPulumiRestful ApisTerraform
Fintech • Financial Services
Lead strategic direction, manage a national team, oversee client relationships, drive business growth, ensure compliance, and support talent strategy in the Food, Beverage and Agribusiness Division.
Top Skills:
24)6379Finra Licenses (Sie
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

