Responsibilities

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. Lead the development of technology and platform for the company's AI/ML engineering needs, ensuring functionality, reliability, performance, and flexibility. Design architecture and lead implementation of AI/ML infrastructure, platform, and services. Challenge existing solutions and drive for improved technical solutions across the broad risk area of Wex. Guide teams to leverage data and AI tools, demonstrating thought leadership and influencing peers. Partner with other senior engineers to understand business needs and develop effective technical solutions. Collaborate with security teams to ensure data security and privacy, including encryption and access controls. Work with solutions architecture and LOB teams on AI/ML platform integrations, ensuring reliable execution. Engage with external partners to evaluate complementary technologies and services. Create and manage roadmaps, project plans, and commitments, reporting progress to stakeholders. Drive the technical vision for AI/ML infrastructure aligning with business needs, in partnership with Data Science and ML teams. Set high standards and provide technical guidance, mentorship, and training to engineering teams, fostering a culture of continuous learning and innovation. Establish clear, measurable quality goals for the team using data-driven approaches. Partner with security and SRE teams to meet security requirements, SLOs, and error budgets. Take financial responsibility for the team and ensure accountability through OKRs. Advise senior leadership on complex issues and lead initiatives to achieve organizational goals. Provide strategic technical leadership on business initiatives, leveraging deep industry and technical expertise. Qualifications & Experience Deep technical leadership in software engineering, capable of delivering aligned with business needs. 15-20 years of experience in large-scale software design and development. Strong skills in programming languages, with willingness to learn Java and Python. Experience in building supervised and unsupervised machine learning models; reinforcement learning experience is a plus. Knowledge of LLM models is advantageous. Understanding of distributed computing frameworks like Ray and Spark. Experience with Kubernetes and Terraform; familiarity with AWS services such as Sagemaker, S3, EMR, Lambda, and Azure is desirable. Hands-on experience in architecture, development, deployment, and operations; familiar with agile practices and CI/CD automation. Deep expertise in Big Data, AI, and ML platforms. Strong analytical, problem-solving, and communication skills. Understanding of payment organizations is a plus. Mentorship skills across different seniority levels. Ability to foster transparency and a culture of continuous improvement. Bachelor's degree in Computer Science or related field; higher degrees are a plus. Leadership & Personal Characteristics Collaborative, engaging, and mission-driven leadership style with strong listening skills. Champion high standards, progress, and change, upholding ethics and integrity. Operate effectively in fast-paced, entrepreneurial environments with a hands-on approach. Excellent communicator with the ability to articulate vision and motivate teams. High intellectual curiosity, learning agility, and change management skills. Skilled in stakeholder management and navigating complex environments.

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