Daimler Truck North America

AI Engineer

Daimler Truck North America  •  Portland, OR (Hybrid)  •  1 day ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Inside the Role

The AI Strategy team within the Data Intelligence Hub (DIH) leverages enterprise data to build agentic workflows, copilots, and reusable AI components that transform how the organization designs, manufactures, sells, and supports vehicles. By combining AI engineering, workflow automation, data engineering, and scalable architectural patterns, the team delivers enterprise‑wide capabilities that propel the company toward an intelligent, AI‑accelerated future.

In this highly strategic and hands‑on role, the AI Engineer will help drive the company’s shift toward an agent‑first operating model where intelligent systems proactively support employees, automate decisions, and streamline operations across the business. Acting as a forward‑deployed developer in business domains, you will help design, build, and operationalize secure, scalable, governed AI systems in tight partnership with product owners, platform architects, and domain leaders. You will also help shape the shared AI ecosystem that connects these capabilities across the enterprise, ensuring that every solution benefits from and contributes to a common foundation.

You help will convert strategic opportunities into shipped, measurable outcomes while championing innovation, reliability, and responsible AI practices.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

What You Drive at DTNA:

  • Design and orchestrate intelligent agents that automate multi‑step workflows and enhance decision‑making across the enterprise.
  • Define reusable patterns for agentic frameworks, copilots, and AI services that scale across domains.
  • Implement structured prompting, guardrails, and chain‑of‑thought controls to reduce hallucinations and improve step‑level accuracy.
  • Build evaluation suites to measure agent behavior, retrieval accuracy, reasoning quality, and workflow performance.
  • Implement automated behavioral evals, regression tests, and scenario‑based scoring.
  • Analyze validation results to guide model refinement and reduce operational risk.
  • Contribute to improving workflows, evaluation practices, and reusable patterns over time as experience grows
  • Prepare datasets, run fine‑tuning jobs using provided recipes, and adjust retrieval settings following team guidance.
  • Translate business opportunities into actionable AI technical designs.
  • Support prototyping activities by building small components or proofs of concept under direction.
  • Evaluate vendor technologies for scalability, security, and strategic fit.
  • Assist in internal innovation initiatives, learning programs, and capability enablement.
  • Apply responsible for AI standards including transparency, bias mitigation, and robust documentation.
  • Work within cross‑functional teams to implement assigned AI components and share progress updates with stakeholders.

Knowledge You Should Bring

  • Bachelor’s degree in a technical, analytical, or related field and 2-4 years of experience applying to AI in real organizations, is required
  • Demonstrated ability to use LLMs, copilots, and agentic tools to accelerate workflow design, analysis, documentation, and prototyping.
  • Experience using AI tools to design AI‑enhanced workflows that solve real business problems, including RAG, tool orchestration, and structured reasoning.
  • Understanding how AI systems behave in production, including evaluation, guardrails, reliability, governance, and safety considerations.
  • Has contributed to proof‑of‑concepts or pilot projects, turning exploratory ideas into validated business outcomes.
  • Ability to assess AI vendors, platforms, and emerging technologies for scalability, security, feasibility, and strategic fit.
  • Familiarity with enterprise data and integration concepts (Snowflake, Azure, operational systems) and how AI solutions connect to them.
  • Understanding responsible AI practices, including bias mitigation, transparency, explainability, and safe model use.
  • Communication skills—able to explain AI concepts, risks, and decisions to stakeholders without technical backgrounds.
  • Proven ability to work cross‑functionally with product owners, architects, engineers, and business leaders to deliver measurable impact.
  • Creative, strategic problem-solver, comfortable managing multiple initiatives and translating ideas into practical solutions.
  • An attached resume is required

Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)-

Portland, OR US. Relocation assistance is not available for this position.

Schedule Type:

Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.

At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all.

That is what we are working toward - for all who keep the world moving.

Additional Information

  • This position is not open for Visa sponsorship or to existing Visa holders
  • Applicants must be legally authorized to work permanently in the country the position is located in at the time of application
  • Final candidate must successfully complete a criminal background check
  • Final candidate may be required to successfully complete a pre-employment drug screen
  • Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions
  • EEO - Disabled/Veterans

Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.

For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.

Daimler Truck North America

About Daimler Truck North America

Daimler Truck North America, a Daimler Truck AG company, is the largest heavy-duty truck manufacturer in North America and a leading producer of medium-duty trucks and specialized commercial vehicles.

Headquartered in Portland, Oregon, Daimler Truck North America manufactures, sells and services several renowned commercial vehicle brands including Freightliner Trucks, Western Star Trucks, Thomas Built Buses, and Freightliner Custom Chassis. Through the company’s affiliates, Daimler Truck North America is also a leading provider of heavy-and medium-duty diesel engines and other components. The company’s strategic partners in the North American commercial vehicles market include Daimler Truck Financial, TravelCenters of America and Petro Truck Centers.

Industry
Automotive & Mobility
Company Size
5,001-10,000 employees
Headquarters
Portland, OR
Year Founded
1942
Social Media