Applied AI Engineer

Daimler Truck North America

. Support governed data pipelines, including Snowflake-enabled datasets, by preparing, cleaning, validating, and connecting engineering, compliance, manufacturing, service, warranty, and field-quality data .

Posted 9/21/2026full-timePortland • Oregon • United StatesJuniorMid-Level💰 $71,000 - $91,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates foundational understanding of AI/ML concepts and experience with data preparation, validation, and analytics. Proficient in SQL, Python, and enterprise data platforms like Snowflake, with strong collaboration and communication skills across technical and non-technical teams.

Highest-signal resume keywords

SQLPythonSnowflakeAI/ML ConceptsData Preparation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningData ValidationData ModelingTest Case CreationRegression TestingMetadata ManagementIssue ResolutionData DocumentationAnalyticsAutomation

Soft Skills

Clear CommunicationCollaborationQuick LearningTask ManagementQuestioning

Tools & Technologies

JiraAzure DevOpsConfluenceSharePointREST APIsMicrosoft 365 CopilotCopilot Studio

Industry Keywords

EngineeringComplianceManufacturingWarrantyField QualityProduct DevelopmentResponsible AI PracticesHuman ReviewBias AwarenessAccess Control

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

Support governed data pipelines, including Snowflake-enabled datasets, by preparing, cleaning, validating, and connecting engineering, compliance, manufacturing, service, warranty, and field-quality data
Assist with SQL queries, data models, metadata fields, and data-quality checks
Contribute to AI-agent implementation by configuring workflows, retrieval patterns, prompt examples, test cases, and deployment-support materials
Prepare standards, process guidance, historical examples, compliance references, investigation learnings, and engineering knowledge content for AI-assisted workflows and evaluation datasets
Help test, validate, and deploy AI-agent capabilities using 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
Support analysis of connected engineering, compliance, investigation, manufacturing, service, warranty, and field data to improve risk assessment, product-quality decisions, corrective-action follow-up, and service diagnostics
Measure AI-agent output quality, efficiency, token usage, user feedback, and accuracy through evaluation datasets, regression testing, grounding checks, stress testing, and hallucination-reduction reviews
Maintain implementation notes, prompt/configuration change logs, user guidance, training aids, data definitions, known limitations, and adoption content in Confluence, SharePoint, and similar platforms
Collaborate with engineering, compliance, validation, manufacturing, service, quality, IT, defect investigation, and regional/global stakeholders on user acceptance testing, adoption, and governed AI/data solutions

Requirements

What you’ll need

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 version control, configuration tracking, code review, testing discipline, and technical documentation
Evaluation and regression-testing mindset, including creating test cases, comparing expected and actual results, documenting limitations, and supporting issue resolution
Familiarity with Jira, Azure DevOps, Confluence, SharePoint, or similar collaboration, documentation, and issue-tracking tools
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
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

Benefits

Comp & perks

401k company contribution with company match up to 8%
Non-elective company contribution of 3–7% depending on age
Starting at 4 weeks paid vacation
13+ calendar holidays
8 weeks paid parental leave
Employee assistance program
Comprehensive healthcare plans
Wellness programs
Onsite fitness at some locations
Tuition assistance
Volunteer paid time off
Short-term and long-term disability plans