Principal Engineer, Customer Engineering
FourKites
| Company | FourKites |
| Category | Engineering |
| Location | Chicago |
| Remote | Remote |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 1 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About FourKites
FourKites is the leading supply chain visibility platform, helping companies transform their logistics operations through real-time tracking, predictive intelligence, and AI-powered automation. As we expand our portfolio with agentic AI capabilities that autonomously optimize supply chain decisions, we're transforming from a visibility platform into an intelligent orchestration system that drives measurable business outcomes for the world's most recognized brands.
Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.
About the Role
We're seeking a Principal Engineer to serve as the senior technical authority across our Fortune 500 customer base, operating at the intersection of hands-on engineering, solution architecture, and strategic customer partnership. You'll own the most complex integration designs and AI-powered workflow implementations end-to-end: decomposing enterprise supply chain problems into architecture, building the solution, and ensuring it scales.
This is not a coordination role. You will write code, build data pipelines, design microservices architectures, and ship production integrations alongside the team. When a customer needs a real-time event-driven integration with their SAP landscape, or an agentic workflow that autonomously resolves shipment exceptions, you're the person who designs it, proves it out, and ensures it delivers business value. You'll carry strategic customer relationships across the full account lifecycle (pre-sales through production), feed field intelligence back into Product and R&D, and build external thought leadership that establishes FourKites as the technical standard in supply chain AI.
Reporting to the Director of Engineering, this is a senior individual contributor role. You'll lead without direct reports, operating through technical excellence, mentorship, and cross-functional influence across Customer Engineering, Professional Services, Product, and R&D Engineering.
What you'll be doing
Solution Architecture & Hands-On Engineering
Architect end-to-end integration solutions for complex enterprise environments spanning ERP (SAP, Oracle, Blue Yonder, Manhattan), OMS, WMS, TMS, and YMS platforms, working directly with customer technical teams to translate business problems into implementable designs
Design and build data pipelines (batch and streaming) using messaging infrastructure and event-driven architectures that enable real-time supply chain data flow at enterprise scale
Build, extend, and optimize agentic AI workflows using LangGraph, LangChain, and related frameworks, integrating LLM-powered automation into customer-facing supply chain operations
Design microservices architectures for integration layers: API gateway patterns, service decomposition, inter-service communication, containerization (Docker, Kubernetes), and cloud-native deployment on AWS, Azure, or GCP
Develop and maintain APIs (REST, GraphQL) and integration middleware connecting customer enterprise systems to the FourKites platform
Own technical proof-of-concepts for new integration patterns, AI-powered workflows, and platform capabilities, taking them from prototype to production-ready
Integration Architecture & Standards
Define reference architectures and reusable integration patterns that scale across customers, covering traditional EDI/file-based integrations (X12, EDIFACT, flat file, SFTP/AS2) through modern event-driven and AI-augmented approaches
Establish engineering standards for data quality, observability, error handling, retry logic, and scalability across all customer integrations
Drive technical decisions on integration approach selection: real-time streaming vs. batch ETL, synchronous vs. asynchronous patterns, push vs. pull models
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