Lead AI Engineer

Daimler Truck AG•Portland, OR

1d•$117,000 - $150,000•Hybrid

About The Position

The Lead AI Engineer is responsible for end-to-end delivery, adoption, and value realization of AI-enabled solutions across Procurement and Supply Chain. The role provides technical leadership, delivery oversight, people leadership, and strategic direction to ensure AI applications are designed, developed, deployed, operated, and adopted successfully. As the primary owner of technical execution and business outcomes, the lead works with a cross-functional team of AI Engineers, Data Engineers, and business stakeholders, combining technical expertise, product ownership, stakeholder management, and people leadership to deliver scalable AI and data solutions with measurable business value. The position is based in Portland, Oregon, with a hybrid schedule of four days per week in the office and one day remote. Relocation assistance is not available. The starting salary range is $117,000–$150,000 USD, depending on knowledge, skills, and experience.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, Physics, Supply Chain, or a related field.
At least 1 year of group leader, project lead, or mentoring experience.
At least 2 years of experience in one or more of AI Engineering, Data Engineering, Software Development, Supply Chain Management, Procurement, Logistics, or Advanced Analytics.
Strong programming skills in one or more of Python, Java, C++, TypeScript/JavaScript, or SQL.
Experience building and deploying AI, machine learning, or LLM-based solutions.
Understanding of prompt engineering, Retrieval Augmented Generation (RAG), AI agents, model evaluation, machine learning fundamentals, data pipelines, API development, and cloud and platform architectures.
Strong analytical and problem-solving capabilities.
Ability to translate business needs into technical solutions.
Excellent communication and stakeholder engagement skills.
Ability to collaborate effectively with technical and non-technical teams.
Comfort working in a fast-paced, highly iterative environment.
Experience applying Lean methodologies and continuous improvement principles.
Must be legally authorized to work permanently in the country where the position is located at the time of application; visa sponsorship is limited to current Daimler Truck North America employees working under an existing U.S. Daimler Truck North America visa.
Final candidate must successfully complete a criminal background check; a pre-employment drug screen may also be required.

Nice To Haves

Advanced degree preferred but not required.
Experience with Palantir Foundry or similar enterprise data and AI platforms.
Working knowledge of supply chain, material planning, logistics, or procurement.

Responsibilities

Design, build, test, deploy, and maintain AI-enabled applications within Palantir Foundry and associated AI platforms.
Work with business stakeholders to identify, evaluate, and prioritize use cases.
Develop solutions using LLMs, AI agents, machine learning techniques, and workflow automation technologies.
Participate in rapid, iterative development cycles and engineer scalable, reusable solutions with global deployment potential.
Define and advise on ontology design, object models, and schema architecture.
Identify, ingest, clean, transform, and integrate enterprise and external data sources; develop robust data pipelines and connectivity frameworks.
Design data architectures that support interoperability, discoverability, and future use-case expansion.
Coordinate with IT on security, permissions, governance, and system integration requirements.
Design and support infrastructure architecture for AI and data applications; develop APIs, integrations, and platform connectivity solutions.
Support engineering standards, scalability, performance optimization, and deployment practices, and evaluate emerging AI tools and technologies.
Own operational support for deployed AI applications; monitor performance, reliability, and adoption metrics; troubleshoot escalated technical incidents and root causes.
Coordinate with IT Service Management and platform support teams to resolve issues and continuously improve platform operations.
Use Lean principles and value-stream thinking to identify inefficiencies and reimagine processes through automation, AI agents, predictive analytics, and intelligent workflows.
Explore emerging generative AI, machine learning, and automation capabilities and assess practical business applications.
Promote AI literacy and digital transformation across Procurement and Supply teams through training, demonstrations, workshops, and knowledge-sharing sessions.
Mentor super users, champions, and citizen developers, and support change management and adoption of deployed solutions.
Foster collaboration with the Palantir ecosystem and broader AI community.
Contribute technical expertise to governance reviews and architectural decisions; support use-case evaluation and prioritization.
Ensure compliance with enterprise standards, security requirements, and AI governance frameworks.
Provide technical assessments, effort estimates, and implementation recommendations to leadership and steering committees.

Benefits

Annual bonus program.
401(k) company contribution with company match up to 6%, plus a non-elective company contribution of 3–7% depending on age.
Starting at four weeks of paid vacation.
13 or more calendar holidays.
Eight weeks of paid parental leave.
Employee assistance program.
Comprehensive healthcare plans.
Wellness programs.
Onsite fitness facilities at some locations.
Tuition assistance.
Paid volunteer time off.
Short-term and long-term disability plans.