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About the Role

At WEX, we embed advanced AI into global payments and mobility platforms. The AI Engineering team enables product development to build, deploy, and scale AI-powered experiences quickly and safely. We are cloud-first, automation-driven, and passionate about building reliable, secure, and scalable AI systems. This role is for those excited by Large Language Models, Agentic AI systems, MLOps, and cutting-edge production pipelines, thriving in fast-moving teams where innovation meets real-world impact.

Responsibilities

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

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).
Experience in financial systems, data compliance, or building multi-tenant Agentic AI applications (bonus).

Skills

Large Language Models
Agentic AI systems
MLOps
Production pipelines
Python
PyTorch
TensorFlow
NumPy
Pandas
scikit-learn
LangChain
ADK
AWS
Azure
GCP
Terraform
CI/CD
DevOps
GitHub Actions
RESTful APIs
Micro-services architectures
Infrastructure-as-code
Testing automation
Financial systems
Data compliance
Building multi-tenant Agentic AI applications

Location

Remote (within 30 miles of specific locations)
Portland, ME
Boston, MA
Chicago, IL
Dallas, TX
San Francisco Bay Area, CA
Seattle, WA

Work Type

Remote

Experience Level

12+ years of professional software or ML engineering experience

Education Level

Bachelor’s degree in Computer Science, Engineering, or a related discipline
Master’s degree preferred

Salary/Compensations

$220,000.00 - $255,800.00

Benefits

Health insurance
Dental insurance
Vision insurance
Retirement savings plan
Paid time off
Health savings account
Flexible spending accounts
Life insurance
Disability insurance
Tuition reimbursement

About the Company

WEX is a global commerce platform.
Helps businesses solve operational complexities like employee benefits, managing and mobilizing fleets, and streamlining payments.
Over 6,500 employees.
Operates in more than 200 countries and territories.
Tailors services to meet unique business needs.
Transforms how businesses operate by embedding advanced AI into global payments and mobility platforms.
Values continuous innovation and unparalleled client service.

Equal Opportunity

WEX is an equal opportunity employer committed to diversity and inclusion.
All qualified applicants receive consideration without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability, or other protected status.
WEX promotes a drug-free workplace.
Qualified individuals with a disability have the right to request a reasonable accommodation.