Senior Staff AI Platform Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $220k - $255.8k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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WEX

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏥 Healthcare

📦 Logistics

✈️ Travel

💰 $310M Post-IPO Debt on 2020-06

Healthcare • Logistics • Travel

WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

📋 Description

• Define and own the 3–5 year technical roadmap for a high-scale, AI-ready Data Lakehouse optimized for AI Agent operations and context retrieval • Prototype and benchmark emerging AI ecosystem trends, including Multi-Agent Orchestration, autonomous long-term memory management, and Agent Evaluation frameworks • Set standards for code quality, CI/CD, and system design across the organization • Lead cross-functional architecture reviews and serve as the final escalation point for complex technical bottlenecks • Design platform-level interfaces for Agentic workflows, standardized Host-to-Server communication, and tool-execution environments • Build Human-in-the-Loop triggers and fail-safe mechanisms for autonomous actions • Build the Context Fabric enabling AI agents to securely discover, access, and interpret enterprise data • Architect Reasoning-based Retrieval systems that understand agent query intent • Implement and advocate for standards such as the Model Context Protocol (MCP) • Track trends including Small Language Models (SLMs) for edge compute and Agentic RAG • Build tools, SDKs, and engines that enable engineers to develop autonomous agents

🎯 Requirements

• 15+ years in software engineering • Expert in Java or Scala with a distributed systems focus and Python • Deep experience building extensible frameworks, high-throughput APIs, and libraries used by other developers • Hands-on experience with Multi-Agent Orchestration using frameworks like LangGraph or CrewAI • Experience transitioning from static RAG to Agentic RAG • Knowledge of the Model Context Protocol (MCP) and other emerging interoperability standards • Experience building AI-native CI/CD features, including automated LLM-based evaluations and Automated Root-Cause Analysis • Understanding of Human-in-the-Loop (HITL) workflows • Expert-level experience with GitOps workflows such as ArgoCD or Flux • Mastery of Terraform • Proficiency designing complex CI pipelines using GitHub Actions or GitLab CI • Experience with OpenTelemetry (OTel) • Deep proficiency with AWS and Azure Management Consoles and core services including IAM, EC2/VMs, S3/Blob, and AI/ML service suites • Proven ability to build cloud-agnostic platform layers bridging AWS and Azure • Experience with AWS CloudWatch, Azure Monitor, and Cost Explorer • Proven track record of leading by influence across autonomous teams • Ability to communicate architectural trade-offs to C-suite executives and engineers • Bachelor's or Master's degree in Computer Science preferred, or equivalent deep industry experience

🏖️ 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 eligibility for non-sales roles