Wells Fargo · 8 hours ago
Enterprise AI Platform- GPU & LLM Infrastructure Product Manager
Irving, TX
Full-time
Hybrid
Senior Level
$159K/yr - $254K/yr
5+ years expWells Fargo is seeking an Enterprise AI Platform- GPU & LLM Infrastructure Product Manager as part of the Digital Capabilities team under Digital Technology & Innovation. In this role, you will define and lead the product strategy for the enterprise-scale LLM/SLM inference GPU platform, partnering closely with engineering teams to translate customer needs into a prioritized roadmap.
BankingFinancial ServicesFinTechInsurancePayments
No H1B
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
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
Company
Wells Fargo
Wells Fargo & Company is a financial services firm that provides banking, insurance, investments, and mortgage services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-10-06IPO
Leadership Team
Charlie Scharf
CEO
Fernando Rivas
CEO of Corporate & Investment Banking
Recent News
2026-01-24
2026-01-23
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