[Remote] Senior Software Engineer - AI Platform

Note: The job is a remote job and is open to candidates in USA. WEX is transforming how businesses operate by embedding advanced AI into their global payments and mobility platforms. As a Senior Software Engineer - AI Platform, you will be responsible for building and operating the cloud and DevOps foundations of WEX’s AI platform, focusing on CI/CD workflows and infrastructure automation across AWS and Azure.ResponsibilitiesDesign, implement, and maintain cloud-native infrastructure for AI and LLM-based applications on AWS and Azure, including networking, compute, IAM, and observabilityBuild and manage CI/CD and GitOps workflows using tools such as Fabric, Argo CD, and related DevOps tooling to enable reliable, automated deploymentsDevelop production-grade services, utilities, and platform components in Python, including APIs, and automation scripts that support AI workloadsImplement 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 patternsOperates 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 qualityContribute to and refine platform standards for security, compliance, observability, and resiliency across AI services and pipelinesParticipate in on-call rotations and incident response for AI platform components, driving root-cause analysis and continuous improvementSkills7+ years of professional software engineering or DevOps/SRE experience, with at least 3+ years working in cloud-native, production environmentsStrong experience with DevOps and GitOps practices, including CI/CD pipelines, automated testing, and environment promotion workflowsHands-on experience with Fabric and Argo CD (or similar GitOps tools) for deployment automation and environment managementDeep, 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 workflowsFamiliarity 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 workflowSolid 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 stakeholdersBachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experienceExperience 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 environmentsExperience building or operating multi-tenant platforms and shared servicesCreate, operate, and manage MCP tools and MCP gateways to securely connect AI agents to external systems, enforce governance, and centralize tool access and observabilityBenefitsHealth, dental and vision insurancesRetirement savings planPaid time offHealth savings accountFlexible spending accountsLife insuranceDisability insuranceTuition reimbursementQuarterly or annual bonus based on their role and applicable planCompany OverviewWex is a financial technology service provider for fleet, travel and healthcare industries. It was founded in 1983, and is headquartered in Portland, Maine, USA, with a workforce of 5001-10000 employees. Its website is http://www.wexinc.com.