Senior Data & AI Engineer — Build Production AI Solutions

Daimler Trucks North America LLC; Portland (OR); Hybrid; USD 117,000 - 150,000; Full time

Benefits offered by this job

Annual bonus program

401(k) company match up to 6%

4 weeks paid vacation

13+ holidays

8 weeks parental leave

Healthcare plans & wellness programs

Job summary

Daimler Truck North America LLC is seeking a senior data/AI engineer to drive AI, ML, and automation initiatives across the BDAT team. You’ll build, prove out, and enable scalable data and AI solutions in collaboration with IT, DIH, and business units.

You will lead hands-on development, share best practices, and coach teams to own and sustain solutions. This role emphasizes production readiness, governance, and cross-functional collaboration.

Qualifications

• Bachelor's degree and 5+ years of relevant experience, or 8 years in lieu of a degree.
• Demonstrated experience designing, building, and deploying AI/ML, automation, or data solutions beyond prototype stage.
• Hands-on experience with LLMs and agentic approaches and with cloud data platforms (e.g., Snowflake).

Responsibilities

• Design, build, and deploy AI/ML and automation solutions for high-impact initiatives.
• Take prototypes to production-ready solutions with IT and DIH teams.
• Coach teams to apply data, analytics, automation, and AI in CI work.
• Mentor junior team members and data practitioners.

Skills

Python

SQL

AI/ML

Data engineering

DevOps

Coaching

Stakeholder collaboration

Education

Bachelor's degree in a related field

Master's degree or Data Science certification (preferred)

Tools

Snowflake

Snowflake Cortex

Microsoft Copilot Studio

LibreChat

Power Platform

GitHub

Job description

Daimler Truck North America LLC is seeking a senior data/AI engineer to drive AI, ML, and automation initiatives across the BDAT team. You’ll build, prove out, and enable scalable data and AI solutions in collaboration with IT, DIH, and business units.

You will lead hands-on development, share best practices, and coach teams to own and sustain solutions. This role emphasizes production readiness, governance, and cross-functional collaboration.