[Hiring] Senior Staff AI Platform Engineer @WEX

Role Description

As a Sr. Staff AI Platform Engineer, you are first and foremost a Systems Architect. Your mission is to design and build the high-performance software foundation that powers the enterprise. While your core expertise lies in distributed systems, cloud-native architecture, and platform engineering, you will apply these skills specifically to the "Context Layer"—the specialized infrastructure required to fuel next-generation Agentic AI workflows.

You will operate at the intersection of Systems Programming and Modern AI Infrastructure, solving "hard-tech" problems like:

• Real-time data orchestration
• Automated metadata evolution
• Multi-cloud compute optimization

This is a "platform-as-a-product" role; you build the tools, SDKs, and engines that enable hundreds of other engineers to build autonomous agents with ease.

Qualifications

• Expert Software Engineering: 15+ years in software engineering, with expertise in Java or Scala (distributed systems focus) and Python.
• Systems Architecture: Deep experience building extensible frameworks, high-throughput APIs, and libraries used by other developers.
• Agentic Design Patterns: Hands-on experience with the latest trends in agent development, such as Multi-Agent Orchestration.
• Protocol Interoperability: Knowledge of the Model Context Protocol (MCP) and other emerging standards.
• AI-Ops Integration: Experience building "AI-native" CI/CD features.
• Human-in-the-Loop (HITL): Understanding of automated workflows that pause agent actions for human approval.
• GitOps & Continuous Delivery: Expert-level experience with GitOps workflows.
• Infrastructure-as-Code (IaC) at Scale: Mastery of Terraform.
• Modern CI Pipelines: Proficiency in designing complex pipelines.
• Unified Observability: Experience with OpenTelemetry (OTel).
• Cloud Console & Service Mastery: Deep proficiency in AWS and Azure Management Consoles.
• Cloud-Agnostic Abstraction: Proven ability to build platform layers that bridge AWS and Azure.
• Governance & Cost Optimization: Experience using cloud-native tools.
• Influence: Proven track record of "leading by influence."
• Communication: Ability to communicate complex architectural trade-offs.
• Education: Bachelor’s or Master’s degree in Computer Science (Distributed Systems focus) preferred, or equivalent deep industry experience.

Requirements

• 15+ years of experience in software engineering.
• Expertise in Java or Scala and Python.
• Deep experience in building extensible frameworks and high-throughput APIs.
• Hands-on experience with Multi-Agent Orchestration.
• Knowledge of the Model Context Protocol (MCP).
• Experience building "AI-native" CI/CD features.
• Understanding of HITL workflows.
• Expert-level experience with GitOps workflows.
• Mastery of Terraform.
• Proficiency in designing complex CI pipelines.
• Experience with OpenTelemetry (OTel).
• Deep proficiency in AWS and Azure Management Consoles.
• Proven ability to build cloud-agnostic platform layers.
• Experience using cloud-native governance tools.
• Proven track record of leading by influence.
• Ability to communicate complex architectural trade-offs.
• Relevant educational background.

Benefits

• Health, dental, and vision insurances.
• Retirement savings plan.
• Paid time off.
• Health savings account.
• Flexible spending accounts.
• Life insurance.
• Disability insurance.
• Tuition reimbursement.
• Quarterly or annual bonus based on role and applicable plan.

Company Description

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.

WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being.

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