Applied AI Engineer I

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.

· Support governed data pipelines, including Snowflake-enabled datasets, by helping prepare, clean, validate, and connect requirements, specifications, validation records, vehicle compliance inputs, defect investigations, manufacturing data, service data, warranty information, and field-quality insights.

· Assist with SQL queries, data models, metadata fields, and data-quality checks that improve traceability, reliability, and readiness for analytics and AI-assisted workflows.

· Contribute to AI-agent implementation by helping configure workflows, retrieval patterns, prompt examples, test cases, and deployment-support materials under guidance from senior team members.

· Prepare approved standards, process guidance, historical examples, compliance references, investigation learnings, and engineering knowledge content for use in AI-assisted workflows and evaluation datasets.

· Help test, validate, and deploy AI-agent capabilities using approved enterprise platforms, Snowflake-enabled data assets, Microsoft 365 Copilot / Copilot Studio, APIs, and related tools.

· Capture data-quality issues, manual handoffs, duplicated steps, user pain points, pilot feedback, and improvement ideas in issue-tracking or backlog tools to support practical workflow improvements.

· Support analysis of connected engineering, compliance, investigation, manufacturing, service, warranty, and field data to help improve risk assessment, product-quality decisions, corrective-action follow-up, and service diagnostics.

· Help measure AI-agent output quality, efficiency, token usage, user feedback, and accuracy by supporting evaluation datasets, regression testing, grounding checks, stress testing, and hallucination-reduction reviews.

· Create and maintain implementation notes, prompt/configuration change logs, user guidance, training aids, data definitions, known limitations, and adoption content in Confluence, SharePoint, and similar enterprise knowledge platforms.

· Work with Vehicle Engineering, Product Engineering, Vehicle Compliance, Product Validation, Manufacturing, Service, Quality, IT, defect investigation teams, and regional/global stakeholders to support user acceptance testing, adoption, and well-governed AI and data solutions.

· A bachelor’s degree in engineering, computer science, data science, or a related technical field.

· 0–2 years of relevant experience through work, internships, co-ops, academic projects, or applied technical projects.

· Foundational understanding of AI/ML and GenAI concepts, including large language models, embeddings, retrieval, prompt patterns, and basic model evaluation.

· Awareness of responsible AI practices, including grounding, hallucination reduction, privacy, access control, bias awareness, and human review for high-impact engineering decisions.

· Basic experience preparing, cleaning, validating, joining, and documenting datasets for analytics, automation, or AI-assisted workflows.

· Working knowledge of SQL, Python, REST APIs, and enterprise data-platform concepts, including Snowflake or similar environments.

· Familiarity with basic software-development practices such as version control, configuration tracking, code review, testing discipline, and clear technical documentation.

· Evaluation and regression-testing mindset, including the ability to create test cases, compare expected and actual results, document limitations, and support issue resolution.

· Familiarity with collaboration, documentation, and issue-tracking tools such as Jira, Azure DevOps, Confluence, SharePoint, or similar platforms.

· Basic awareness of automotive, engineering quality, product development, compliance, manufacturing, warranty, service, or field-quality workflows.

· Ability to communicate clearly, collaborate across functions, learn quickly, ask good questions, and manage multiple tasks with guidance.

· Applied project, internship, co-op, capstone, or portfolio experience that shows the ability to turn data or AI concepts into a working prototype, workflow, dashboard, or documented solution.

· Hands-on exposure to AI-enabled workflows, custom AI agents, retrieval-augmented generation, vector search, embeddings, prompt engineering, or agent evaluation through coursework, projects, internships, or prototypes.

· Practical experience using enterprise data platforms or business systems such as Snowflake, Dataverse, SAP, SharePoint, Power Platform, or similar environments to query, organize, connect, or visualize data.

· Experience building simple Power BI, Excel, Python, or similar dashboards/reports to summarize usage, quality, adoption, workflow status, or data-quality metrics.

· Exposure to automotive, manufacturing, warranty, service, aftermarket, vehicle compliance, defect investigation, or field-quality data and how those signals can support product-quality decisions.

· Experience documenting requirements, test results, defects, user feedback, known limitations, or adoption materials in tools such as Jira, Azure DevOps, Confluence, SharePoint, or similar platforms.

· Exposure to structured problem-solving, quality improvement, or engineering root-cause analysis methods

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

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.

Job number: DT-19739

Publication period: 09/22/2026 - 10/04/2026

Location: Portland

Job Category: IT/Telecommunications

Working hours: Full time

To Location: Portland, OR Daimler Truck North America Zentrale