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Date: Sep 9, 2026
Location: Mount Vernon, WA, US, 98273-9671
Company: PACCAR
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 with organizational objectives, prepare technical and business justification for AI investments, and manage approved projects within authorization limits
Evaluate emerging AI technologies, recommend applicable solutions for PACCAR engineering challenges, maintain technical expertise, and provide mentoring, technical guidance, and communication of project outcomes to teams and leadership
Contribute to continuous improvement through development of new methodologies, tools, and process enhancements within the assigned area
Qualifications
7+ years of applicable experience in a related engineering discipline
Demonstrated experience developing, evaluating, or deploying AI/ML solutions or advanced data-driven engineering tools.
Strong technical background in programming, data analysis, system integration, and structured engineering development practices.
Demonstrated ability to independently manage major technical projects with complex features using project-management techniques, procedures, and criteria.
Experience coordinating cross-functional contributors and influencing work without direct supervisory authority.
Strong analytical, problem-solving, technical-writing , presentation, and stakeholder-communication skills.
Ability to define problems, propose methods, and identify solutions across a broad scope using sound engineering judgment when information is ambiguous or incomplete.
Self-starter with initiative, adaptability, resourcefulness, and the ability to manage multiple priorities within established objectives and limits.
Desired Qualifications
Advanced degree in AI, Data Science, Computer Science, Engineering, or a related field.
Experience applying AI in engineering, manufacturing, automotive, test, or V&V domains.
Experience with large language models (LLMs), model @context protocol (MCP), robotic process automation (RPA), workflow automation, or AI-enabled software tools.
Familiarity with cloud platforms, enterprise data pipelines, dashboards, SharePoint, and enterprise IT systems.
Experience documenting operational processes, supporting project-value or savings validation, and preparing periodic management reporting.
Experience developing and delivering technical demonstrations, training, or adoption activities for diverse engineering audiences.
Working knowledge of the software development lifecycle and V-cycle, including requirements development, system design, integration, and V&V activities.
Experience preparing or managing engineering capital project proposals, budgets, or implementation plans.
Education
Bachelor's Degree in a Science, Technology, Engineering, or Math (STEM) discipline required. Advanced Degree (Master's or Ph. D) or planned path to attainment desired.
Paccar Benefits
As a U.S. PACCAR employee, you have a full range of benefit options including:
Competitive salary and 401k with up to a 5% company match
Fully funded pension plan that provides monthly benefits after retirement
Comprehensive paid time off - Minimum of 10 paid vacation days, 12 paid holidays, and sick leave
Tuition reimbursement for continued education
Medical, dental, and vision plans for you and your family
Flexible spending accounts (FSA) and health savings account (HSA)
Paid short-and long-term disability program
Life and accidental death and dismemberment insurance
EAP services including wellness plans, estate planning, financial counseling and more
Global Fortune 500 company with a wide array of growth and development opportunities
Work alongside experienced goal-oriented colleagues recognized as experts in their field
Additional Job Board Information
PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability. At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors, including your education, training, or experience. The salary range for Advanced AI Systems/AI Technical Lead is $104,100 - $162,900 annually. Additionally, this role is eligible for a full range of benefit options listed above. This position is also eligible for a holiday gift.
