Sr Manager, AI/ML Infra Engineering
Global Headquarters, United States
This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; and San Francisco Bay Area, CA.
About the Team/Role:
As a Senior Manager, AI/ML Infrastructure, you will be responsible for leading the team focused on cloud-native AI/ML infrastructure, supporting both GenAI and traditional AI/ML technologies and applications.
This includes AI model productionalization (end-to-end AI/ML model lifecycle: development, deployment, monitoring, refresh, etc.), Data Lakehouse, and related technologies, systems, and tools.
You will execute technology development and architecture to ensure that platforms, systems, tools, models, and services are technically sound with strong security, quality, reliability, usability, scalability, performance, efficiency, and operability to meet WEX’s growing needs. Balancing both near-term and long-term goals is crucial in this role.
Collaboration is key, as you will work closely with leaders and teams across Tech, Digital, Data & Analytics, Risk & Compliance, Line of Business (commercial, digital, and technology), Security, Central Architecture & PaaS, Global Tech Services, Finance, Marketing, and Customer Service to understand their AI/ML infrastructure needs and align development and productionalization accordingly.
This Senior Manager will report to the Vice President of AI & Data Lake Engineering, based in the San Francisco Bay Area, with potential locations in Chicago, Portland (WEX HQ), or Boston.
How You Will Impact:
This is a fantastic opportunity for a highly motivated and passionate technical leader to apply deep expertise in AI/ML infrastructure to develop technology, platforms, and services that will support multiple lines of business and a large customer base. Your work will generate real business impact within a fast-growing commerce platform and payment technology company during its technology transformation stage.
By leading the development of AI/ML infrastructure, you will contribute to solving large-scale and complex problems, helping WEX meet increasing customer demands.
Your role will include technical ownership of WEX’s AI/ML infra engineering & services, covering architecture, technical direction, engineering best practices, and quality/compliance, along with ensuring architectural integration with other platforms, products, and services.
Your leadership will directly support WEX’s AI/ML infrastructure vision—to create a unified, scalable, and intelligent AI/ML infrastructure that supports both classical ML and Generative AI use cases.
What You Will Bring:
We are looking for a highly motivated, technically deep, and experienced Engineering leader to grow and manage a team of high-performing engineers in the AI/ML infrastructure engineering space.
This leader will work closely with team members from the Data, AI, and Risk Technology (DART) organization in a hands-on way, providing guidance and coaching.
The ideal candidate will be a hands-on leader with deep technical expertise in building and scaling AI/ML infrastructure for both classical and generative AI/ML use cases.
10+ years of AI/ML infrastructure engineering experience, including scaling both classical and generative AI."
"Expertise in cloud platforms (one or more of AWS, Azure, GCP, Oracle), containerization (Kubernetes), and MLOps tools."
"Proven experience with AI/ML model deployment, data lakehouse architectures, and data pipeline optimization."
"Demonstrated leadership in managing engineering teams and complex AI/ML projects."
Additionally, strong people leadership and communication skills will be essential for driving alignment across the organization and ensuring effective collaboration with cross-functional teams.
Job Profile
Bay Area Must reside within 30 miles of specified locations
Benefits/PerksDisability Insurance Flexible Spending Flexible Spending Accounts Health savings account Life Insurance Paid Time Off Quarterly or annual bonus Retirement savings Retirement savings plan Total compensation package Tuition reimbursement
Tasks- Collaborate Across Departments
- Develop technology platforms
- Ensure architectural integration
- Lead AI/ML infrastructure team
- Leadership
- Manage engineering best practices
AI AI/ML Infrastructure AI Model Productionalization Analytics Architecture AWS Azure Cloud Cloud Native technologies Coaching Collaboration Communication Compliance Containerization Customer service Data & Analytics Data Lake Data Lakehouse Data Pipeline Optimization Efficiency Engineering Best Practices Flexible spending accounts GCP Generative AI Integration Kubernetes Leadership Marketing ML MLOps Monitoring Operability Oracle Performance Quality Compliance Reliability Sales Scalability Security Technical Direction Technology
Experience10 years
EducationBusiness Engineering Finance Marketing
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9