Sr. Staff AI/ML Engineer

Job Description

Location: This is a remote position ; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.

Team: AI Platform Engineering, WEX Inc.


About WEX and the AI Platform Team

At WEX, we're transforming how businesses operate by embedding advanced AI into our global payments and mobility platforms. The AI Engineering team enables product development groups across WEX to build, deploy, and scale AI-powered experiences quickly and safely. We're cloud-first, automation-driven, and passionate about building systems that make AI a core part of our products-reliably, securely, and at scale.

If you're excited by Large Language Models, Agentic AI systems, MLOps, and cutting-edge production pipelines-and you thrive in fast-moving teams where innovation meets real-world impact-this is the role for you.


What You'll Do

• Lead the design, implementation, and production deployment of machine learning and AI-driven systems-including LLM-based and agentic applications.
• Partner with AI platform and product engineering teams to integrate advanced AI capabilities into WEX's enterprise systems.
• Design and maintain ML pipelines, from data ingestion to model deployment, ensuring scalability, observability, and reusability across teams.
• Build and expose AI functionality via RESTful APIs and micro-services architectures.
• Champion engineering best practices: CI/CD, infrastructure-as-code, testing automation, and continuous improvement.
• Contribute to architectural decisions with a focus on security, compliance, and performance-especially in regulated industries such as payments and healthcare.
• Collaborate cross-functionally with data scientists, ML engineers, and business stakeholders to align technical solutions with strategic goals.

What You'll Bring

• 12+ years of professional software or ML engineering experience, with a track record of deploying production-grade AI systems.
• Proficiency in Python and key machine learning frameworks (PyTorch, TensorFlow, or similar).
• Strong working knowledge of core libraries (NumPy, Pandas, scikit-learn) and LLM development frameworks (LangChain, ADK, or similar).
• Experience with cloud platforms (AWS preferred; Azure or GCP also valuable) and Infrastructure-as-Code tools like Terraform.
• Deep familiarity with CI/CD pipelines and DevOps practices using GitHub Actions or similar platforms.
• Demonstrated ability to operate in agile, collaborative, high-trust teams.
• Bachelor's degree in Computer Science, Engineering, or a related discipline (Master's preferred).
• Bonus: Experience in financial systems, data compliance, or building multi-tenant Agentic AI applications.

Why Join WEX

You'll work within a lean, high-impact engineering group that values curiosity, autonomy, and real-world problem-solving. We move fast but balance innovation with responsibility-because AI at WEX touches millions of businesses and end users.

Join us to help evolve intelligent systems that change how enterprises move money and make decisions.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. 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. For more information, check out the "About Us" section.

Pay Range: $220,000.00 - $255,800.00