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WEX

Senior Staff AI/ML Engineer

WEX

. Lead the design, implementation, and production deployment of machine learning and AI-driven systems—including LLM-based and agentic applications .

Posted 5/14/2026full-timeBoston • California, Illinois, Maine, Massachusetts, Washington • 🇺🇸 United StatesSenior💰 $220,000 - $255,800 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 12+ years of professional software or ML engineering experience
  • 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)
  • Deep familiarity with CI/CD pipelines and DevOps practices using GitHub Actions or similar platforms
  • Bachelor’s degree in Computer Science, Engineering, or a related discipline (Master’s preferred)
  • Demonstrated ability to operate in agile, collaborative, high-trust teams
  • Bonus: Experience in financial systems, data compliance, or building multi-tenant Agentic AI applications.

Benefits

Comp & perks
  • health, dental and vision insurances
  • retirement savings plan
  • paid time off
  • health savings account
  • flexible spending accounts
  • life insurance
  • disability insurance
  • tuition reimbursement
  • commission eligibility for sales roles
  • quarterly or annual bonus for non-sales roles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningAI-driven systemsPythonPyTorchTensorFlowNumPyPandasscikit-learnRESTful APIsCI/CD
Soft Skills
collaborationleadershipcommunicationagile methodologycontinuous improvementcross-functional teamworkstrategic alignmenttrust-building
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degree in related discipline