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Advanced AI Systems Engineer​/AI Technical Lead

Job in Mount Vernon, Skagit County, Washington, 98273, USA
Listing for: PACCAR
Full Time position
Listed on 2026-09-15
Job specializations:
  • Engineering
    AI Engineer (Applied/Software), Systems Engineer
  • IT/Tech
    AI Engineer (Applied/Software), Systems Engineer
Salary/Wage Range or Industry Benchmark: 104100 - 162900 USD Yearly USD 104100.00 162900.00 YEAR
Job Description & How to Apply Below

Requisition Summary

This position is located within the Advanced Controls organization at the PACCAR Technical Center (PTC). The Project Engineer will independently manage major AI projects involving conventional engineering practices and complex features, with emphasis on engineering, verification and validation (V&V), and manufacturing-support applications.

The role develops, evaluates, and deploys practical AI solutions that improve engineering productivity, test and data workflows, and decision support. Typical deliverables include project plans, proof-of-concept demonstrations, reusable applications and workflows, data pipelines, documented processes, training materials, and implementation results.

The individual will coordinate major projects across PTC and applicable PACCAR divisions, serve as a technical resource to project teams and more junior personnel, and consult with supervision on unusual problems, significant scope changes, policy matters, or developments outside established project limits.

Company Information

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc. is recognized as a global leader in the commercial vehicle, financial, and customer services fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacturing and customer support of premium light, medium, and heavy duty turcks under the Kenworth, Peterbilt and DAF nameplates and also provides customized financial services, information technology, and truck parts related to its principal business.

Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader or build our excellent products and services, you can develop the career you desire with PACCAR. Get started!

Job Functions / Responsibilities
  • Independently manage AI engineering projects with complex technical scope, including plans, milestones, risks, dependencies, deliverables, budgets, and status reporting
  • Lead development and deployment of AI and machine learning solutions that improve engineering, V&V, and manufacturing-support activities while coordinating cross-functional contributors
  • Develop AI-enabled tools, workflows, and automation for test execution, data analysis, anomaly detection, validation efficiency, documentation support, and engineering productivity across lab, HIL, system, and vehicle environments
  • Integrate approved AI methods into engineering and validation processes to improve data utilization, test coverage, repeatability, insight generation, quality, cost, and cycle time
  • Create proof-of-concept solutions and transition mature concepts into documented, reusable tools and processes for broader organizational adoption
  • Develop and maintain project data pipelines, datasets, models, interfaces, and technical documentation using structured engineering and software-development practices
  • Define and administer PTC AI governance processes, including project intake, evaluation, delivery planning, adoption tracking, ML Delivery Plan coordination, quality reviews, SharePoint content, and internal AI tool submissions
  • Support AI financial reporting by collecting, validating, documenting, and communicating realized savings, benefits, assumptions, evidence, and project status in coordination with project owners and Accounting
  • Facilitate AI project reviews with leadership, communicate project status and value realization, and support corrective actions to achieve approved business benefits
  • Lead AI adoption initiatives through training, demonstrations, onboarding guidance, and stakeholder engagement while identifying employee and organizational AI capability needs
  • Develop AI roadmaps aligned…
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