WEX
AI Principal Engineer
US - Remote · Principal
Sponsorship not specified$15k-$20kDetected 14 days ago
JavaAWSAzureKubernetesTerraformCI/CDSite Reliability EngineeringMachine LearningSparkData ScienceLLMsAgileStakeholder ManagementOKRsCustomer SupportEHR/EMRLeadershipCommunicationMentoring
About the role
- It's important to balance the near term and long term needs.
- 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.
Responsibilities
- Lead and drive the development of technology and platform for the company's AI/ML engineering needs, ensure the 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 the needs in the broad risk area of Wex.
- Guide your team to leverage data and/or AI technology or tools in your design and development for high productivity and better solution quality. Show strong thought leadership and influence your peers in this area.
- Closely partner with the other senior engineers across the organizations at Wex to deeply understand the business needs and jointly come up with technical solutions to serve these needs effectively. Demonstrate strong thought leadership and partnership.
- Partner with solutions architecture and LOB product and engineering orgs on integrations of the AI/ML Platform with their products/systems, and ensure reliable and performed 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 the status of development, quality, operations, and system performance to management and partners.
- Partner with the security org and SRE org to ensure continuous improvement and meeting of security requirements, SLOs, and error budget.
Requirements
- Partner closely with information security teams to ensure the security and privacy of data, implementing encryption and access controls as required.
Nice to have
- Experience in using LLM models a plus
- Experience with Sagemaker a plus
Compensation
- $250,300.00 - $289,000.00
Benefits
- include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.
- 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.
- Drive the technical vision and strategy of AI/ML infrastructure to serve the business needs for the near term and long term.
- Foster an environment of continuous learning and innovation.
- Good experience in building machine learning supervised and unsupervised models.
- Experience in Reinforcement Learning is a plus.
Company info
- This also includes proper and effective architectural integration with other platforms, products, and services across the company.
- For more information, check out the "About Us" section.
This listing is sourced directly from WEX's careers page and normalized into a canonical job model.