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 Jose, CA; Seattle, WA.

Role Overview:

As a Sr. Software Engineer - AI Platform, you will be a hands-on engineer responsible for building and operating the cloud and DevOps foundations of WEX's AI platform. You will own CI/CD workflows, GitOps practices, and infrastructure automation across AWS and Azure, while also contributing Agentic AI Platform services and tools that power AI workloads.

You will work closely with other AI platform engineers, product teams, and data/ML engineers to ensure that AI-native applications are secure, observable, and easy to deploy and operate at scale.

How You'll Make an Impact:

• Design, implement, and maintain cloud-native infrastructure for AI and LLM-based applications on AWS and Azure, including networking, compute, IAM, and observability.
• Build and manage CI/CD and GitOps workflows using tools such as Fabric, Argo CD, and related DevOps tooling to enable reliable, automated deployments.
• Develop production-grade services, utilities, and platform components in Python, including APIs, and automation scripts that support AI workloads.
• Implement and maintain Infrastructure-as-Code (IaC) for repeatable environments and services (e.g., Terraform, CloudFormation, or similar tools).
• Collaborate with AI/ML engineers and product engineering teams to integrate LLMs and agentic AI capabilities into WEX's products using secure, scalable patterns.
• Operates as a system administrator-level engineer for key cloud services (logging, monitoring, secrets, container orchestration, storage, and security controls).
• Champion AI-native development practices by using and promoting tools such as Cursor, GitHub Copilot, and other AI-assisted IDEs to increase velocity and code quality.
• Contribute to and refine platform standards for security, compliance, observability, and resiliency across AI services and pipelines.
• Participate in on-call rotations and incident response for AI platform components, driving root-cause analysis and continuous improvement.

Experience You'll Bring:

• 7+ years of professional software engineering or DevOps/SRE experience, with at least 3+ years working in cloud-native, production environments.
• Strong experience with DevOps and GitOps practices, including CI/CD pipelines, automated testing, and environment promotion workflows.
• Hands-on experience with Fabric and Argo CD (or similar GitOps tools) for deployment automation and environment management.
• Deep, system-administrator-level experience with AWS (preferred) and practical experience with Azure services (compute, networking, IAM, logging, containers).
• Proficiency in Python, including writing robust, maintainable code for services, tools, and automation, and comfort with standard Python development workflows.
• Familiarity with containerization and orchestration (Docker, Kubernetes, ECS, AKS, or similar).
• Experience using AI-native development tools (e.g., Cursor, GitHub Copilot, or similar AI-assisted IDEs) as part of your everyday engineering workflow.
• Solid understanding of monitoring, logging, and alerting practices and tools (e.g., CloudWatch, Prometheus, Grafana, Datadog, or similar).
• Demonstrated ability to work in agile, collaborative, high-trust engineering teams and to partner effectively with cross-functional stakeholders.
• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

Nice to Have:

• Experience supporting LLM/agentic AI workloads in production (e.g., prompt orchestration, model gateways, vector stores, RAG systems).
• Background in financial systems, data compliance, or regulated industries (payments, healthcare, etc.).
• Exposure to Terraform or other IaC tools for multi-cloud environments.
• Experience building or operating multi-tenant platforms and shared services.
• Create, operate, and manage MCP tools and MCP gateways to securely connect AI agents to external systems, enforce governance, and centralize tool access and observability.

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: $140,200.00 - $185,800.00