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Principal Engineer, Customer Engineering

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Haven
Full Time position
Listed on 2026-07-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Backend Developer
Salary/Wage Range or Industry Benchmark: 140000 - 170000 USD Yearly USD 140000.00 170000.00 YEAR
Job Description & How to Apply Below

About Four Kites

Four Kites 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 Four Kites 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 Four Kites 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 Lang Graph, Lang Chain, 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 Four Kites 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, grounded in customer system constraints and business requirements
  • Evaluate emerging technologies and integration patterns, building team capability in AI/ML engineering, cloud‑native architectures, and modern data infrastructure

Strategic Customer Partnership & Pre‑Sales

  • Build and maintain…
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