Principal AI/ML Engineer

Responsibilities

• Lead and drive the development of technology and platform for the company's AI/ML 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 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, 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.

• Drive the technical vision and strategy of AI/ML infrastructure to serve the business needs for the near term and long term. A close partnership with the 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 org. 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 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.

• Have 15-20 years of software design and development experience at a large scale.

• Strong software development skills in his or her chosen programming language, but ready and willing to learn and program in Java and Python.

• Broad understanding of distributed computing frameworks like Ray and Spark

• Demonstrable experience in Kubernetes and Terraform

• Demonstrable experience in ML Ops

• Experience with Sagemaker a plus

• Broad understanding of cloud architecture tools and services, such as S3, EMR, Kubernetes, Lambda functions. Experience in AWS and Azure is highly desirable.

• Deep technically; 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 in 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 and 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 payment organizations is a plus.

• A mentor to individual contributors of different seniority levels and expertise.

• Ability to encourage and foster a culture of visibility and transparency across teams

• Strong written and verbal communication skills

• Strong philosophy of continuous improvement

• Bachelor degree in Computer Science or a related field. A higher degree in a related field is a plus.

Leadership & Personal Characteristics

Beyond experience, the right technical leadership competencies and personal style are critical to success as the Principal AI/ML Engineer. The candidate will model WEX's commitment to innovation, integrity, execution, relationships, community, and the excellence that they commit to their customers. They will have a strong corporate stewardship philosophy and leadership style combined with the following:

• Demonstrates a collaborative, engaging, mission-driven style with good listening skills combined with gravitas and self-confidence in order to effectively interact with senior leadership and other key constituencies with humility, empathy, transparency, cultural sensitivity, and agility.

• Champions a culture of high standards, pushes for progress, embraces change and challenges the status quo based on integrity, strong partnership and financial responsibility. Possess uncompromising ethics and unwavering integrity.

• Able to operate in a fast-paced entrepreneurial environment with a hands-on approach.

• Leads with empathy. Recognizes others, listens intently, holds others accountable, and makes diversity and inclusion a priority. Promotes a culture of trust, transparency, fairness, innovation, collaboration, inclusion, and diversity of thought; empowers individuals.

• Communicates effectively in small and large group formats. Able to articulate a compelling vision and purpose that excites the team and drives outstanding performance and service delivery excellence.

• Talent magnet, talent developer and talent scout that proactively engages external talent and builds and nurtures internal talent; empowers individuals and manages diverse teams to drive engagement and performance.

• Possesses a high level of intellectual curiosity and learning agility. A natural change agent with a combination of vision and execution skills.

• Understands nuance and how to drive change through influence across a complex business. Superb stakeholder management and comfortable operating in a fast-changing environment.