AI Principal Engineer

Position Summary

As a Principal AI/ML engineer, this technical leader will be responsible for the design and implementation of the cloud-native AI/ML engineering platform (supporting both GenAI and traditional AI/ML technology and applications). This technologist will drive the technology development and architecture in these areas to ensure the platforms, systems, tools, models, and services generated from this team are technically sound with strong security, quality, reliability, usability, scalability, performance, efficiency, and operability to serve the fast growing needs of Wex and customers.

It’s important to balance the near term and long term needs. To do this, you will be closely partnering with other leaders and teams in the Tech org, Digital org, and other orgs in the company including Data & Analytics, Risk & Compliance, the Line of Business (LOB) 3 legs (commercial, digital, and technology), Security, central architecture & PaaS team, Global Tech Services, Finance, Marketing, and customer service orgs to understand their business and needs for Data Lake technologies, platforms, services, and guide our design, development, and productionalization accordingly.

This is a fantastic opportunity for a highly motivated and passionate AI/ML engineer to apply deep expertise and rich experience in AI Engineering to develop technology, platforms and services, and apply them to multiple lines of business with a big customer base to generate real business impact in a fast growing commerce platform and payment tech company during its technology transformation stage to meet high customer demands.

At the same time, you will learn and grow your career by solving large scale and complex problems. This Principal AI/ML Engineer will have technical ownership of WEX’s AI Engineering implementation, including but not limited to architecture, technical direction, engineering best practice, and quality/compliance. This also includes proper and effective architectural integration with other platforms, products, and services across the company.

The vision behind Wex’s AI/ML engineering is to create a unified, scalable, and intelligent data and compute infrastructure that empowers our organization to unlock the full potential of our data.

• Lead and drive the development of technology and platform for the company's AI/ML engineering needs, ensuring functional richness, reliability, performance, and flexibility of this platform.
• Help design the architecture and lead the implementation of the AI/ML infrastructure, platform and services.
• Challenge the status quo and hold a high bar to drive for better and better technical solutions to effectively serve all needs in the broad risk area of Wex.
• Guide your team to leverage data and/or AI technology or tools in design and development for high productivity and better solution quality.
• Show strong thought leadership and influence your peers in this area.
• Closely partner with senior engineers across the organization to deeply understand business needs and jointly produce technical solutions.
• Demonstrate strong thought leadership and partnership.
• Partner closely with information security teams to ensure data security and privacy, implementing encryption and access controls as required.
• Partner with solutions architecture and LOB product and engineering orgs on integrations of the AI/ML platform with their products/systems, ensuring reliable execution.
• Engage with external partners and vendors to evaluate technologies and services that complement the company’s AI/ML strategy.
• Create, prioritize, communicate, manage, and execute roadmaps, project plans, and commitments.
• Report on development, quality, operations, and system performance to management and partners.
• Drive the technical vision and strategy of AI/ML infrastructure to serve business needs for the near term and long term.
• Partner with Data Science and ML Engineering teams and operational reporting teams of applications.
• Set a high bar, provide technical guidance, and mentor engineering teams, including principles, skills, and best practices.
• Uphold strong DORA metrics across the organization.
• Foster an…