JobsUSAPrincipal AI/ML Engineer
Company : WEX
Location : Chicago, IL, 60290
Posted Date : 15 September 2025
Job Details
Responsibilities
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 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 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 other senior engineers across the organization at Wex to deeply understand business needs and jointly develop technical solutions to serve these needs effectively. Demonstrate strong thought leadership and partnership.
Partner closely with information security teams to ensure the security and privacy of data, 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 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.
Drive the technical vision and strategy of AI/ML infrastructure to serve business needs for the near term and long term, in close partnership with Data Science and ML Engineering teams and the operational reporting teams of applications.
Set a high bar and provide technical guidance and effective training & mentorship to the engineering teams in your group, including engineering principles, skills, and best practices. Uphold strong DORA metrics across the organization. Foster an environment of continuous learning and innovation. Build an inclusive, productive, innovative, and engaging Risk group, including attracting high talents from the industry. Guide the leaders in your group to do the same.
Set clear, measurable quality goals for your group in a data-driven way.
Partner with the security org and SRE org to ensure continuous improvement and meeting of security requirements, SLOs, and error budget.
Take strong financial responsibility for your team.
Hold yourself and your team accountable for delivering quality results using defined OKRs.
Advise the Senior Leadership team on highly complex situations that impact our organization and then lead teams through the initiative, driving excellent quality results and achieving defined OKRs across the organization.
Provide strategic thought leadership on business initiatives using your deep technical and business industry expertise.
Qualifications & Experience
A technically deep and innovative Software Engineer leader able to act and deliver to the business needs.
15-20 years of software design and development experience at a large scale.
Strong software development skills in your chosen programming language, but ready and willing to learn and program in Java and Python.
Good experience in building machine learning supervised and unsupervised models. Experience in Reinforcement Learning is a plus.
Experience in using LLM models is a plus.
Broad understanding of distributed computing frameworks like Ray and Spark.
Demonstrable experience in Kubernetes and Terraform.
Experience with Sagemaker is a plus.
Broad understanding of cloud architecture tools and services, such as S3, EMR, Kubernetes, and Lambda functions. Experience in AWS and Azure is highly desirable.
Deep technical expertise; hands-on in architecture design, development, deployment, and production operation; familiar with agile software development and modern development tools and frameworks; holding strong engineering principles including automation and quality as well as best practices with a high bar. Extensive experience in full software development life cycle E2E including production monitoring.
Rich experience and deep expertise in the areas of Big Data and large scale data platforms, especially in AI and ML.
Highly experienced with a deep understanding of CI/CD automation.
Rich experience in combined engineering practice and agile development. Experienced in leading and guiding teams for effective development using this approach.
Excellent analytical skills; capability in identifying and resolving complex problems.
An understanding of and experience in
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