Lead AI Engineer

Daimler Truck North America; Portland (OR); On-site; USD 130,000 - 190,000; Full time

Job summary

Daimler Truck North America seeks an experienced AI Application Development & Delivery leader to design, build, test, and deploy AI-enabled applications using Palantir Foundry and related platforms.

Collaborate with stakeholders to identify use cases, develop data pipelines, and create scalable solutions with governance and security in mind. The role also covers platform operations, community adoption, and governance alignment.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, Physics, Supply Chain, or a related field, and 5-y years of relevant experience, is required.
• At least 1 year of group leader, project lead or mentoring experience required
• 2+ years of experience in one or more of the following: AI Engineering, Data Engineering, Software Development, Supply Chain Management, Procurement, Logistics, Advanced Analytics.
• 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, Cloud and Platform Architectures.
• Strong analytical and problem-solving capabilities.
• Ability to translate business needs into technical solutions.
• Excellent communication and stakeholder engagement skills.
• Comfortable working in a fast-paced, highly iterative environment.
• Ability to collaborate effectively with both technical and non-technical teams.
• Experience applying Lean methodologies and continuous improvement principles.
• An attached resume is required.

Responsibilities

• Design, build, test, deploy, and maintain AI-enabled applications within Palantir Foundry.
• Collaborate with stakeholders to identify, evaluate, and prioritize use cases.
• Develop data pipelines and connectivity frameworks; design data architectures.
• Own operational support for deployed AI applications and monitor performance.
• Mentor super users and foster adoption; promote AI literacy.
• Governance, security and alignment with enterprise standards.

Skills

AI Engineering

Data Engineering

Software Development

Supply Chain Management

Procurement

Logistics

Advanced Analytics

Prompt engineering

RAG

API Development

Cloud and Platform Architectures

Communication

Stakeholder engagement

Lean methodologies

Palantir Foundry

Education

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, Physics, Supply Chain, or related field

Tools

Palantir Foundry

Job description

1. AI Application Development & Delivery

• Design, build, test, deploy, and maintain AI-enabled applications within Palantir Foundry and associated AI platforms.
• Collaborate with business stakeholders to identify, evaluate, and prioritize use cases.
• Develop solutions using LLMs, AI agents, machine learning techniques, and workflow automation technologies.
• Engineer scalable and reusable solutions with global deployment potential.
• Define and consult 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 maximize interoperability, discoverability, and future use-case expansion.
• Collaborate with IT on security, permissions, governance, and system integration requirements.
• Design and support infrastructure architecture required for AI and data applications.
• Develop APIs, integrations, and platform connectivity solutions.
• Support engineering standards, scalability, performance optimization, and deployment practices.
• Evaluate and incorporate emerging AI technologies and tools into enterprise solutions.

4. Platform Operations & Support

• Own operational support for deployed AI applications.
• Monitor application performance, reliability, and adoption metrics.
• Accept escalations for technical incidents and troubleshoot root causes.
• Coordinate with IT Service Management and platform support teams to resolve issues.
• Ensure operational excellence and continuous platform improvement.
• Apply Lean principles and value-stream thinking to identify process inefficiencies.
• Reimagine business processes through automation, AI agents, predictive analytics, and intelligent workflows.
• Evaluate emerging AI capabilities and determine practical business applications.
• Drive innovation by continuously exploring advancements in generative AI, machine learning, and automation technologies.

6. Community Development & Adoption

• Promote AI literacy and digital transformation across Procurement and Supply teams.
• Deliver training, demonstrations, workshops, and knowledge-sharing sessions.
• Mentor super users, champions, and citizen developers.
• Support change management and adoption efforts for newly deployed solutions.
• Foster collaboration with the Palantir ecosystem and broader AI community.

7. Governance & Strategic Alignment

• Contribute technical expertise to governance reviews and architectural decisions.
• Support evaluation and prioritization of approved and backlog use cases.
• Ensure compliance with enterprise standards, security requirements, and AI governance frameworks.
• Provide technical assessments, effort estimates, and implementation recommendations to leadership and steering committees.

Knowledge You Should Bring

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, Physics, Supply Chain, or a related field, and 5-y years of relevant experience, is required.
• At least 1 year of group leader, project lead or mentoring experience required
• 2+ years of experience in one or more of the following: AI Engineering, Data Engineering, Software Development, Supply Chain Management, Procurement, Logistics, Advanced Analytics.
• 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, Cloud and Platform Architectures.
• Strong analytical and problem-solving capabilities.
• Ability to translate business needs into technical solutions.
• Excellent communication and stakeholder engagement skills.
• Comfortable working in a fast-paced, highly iterative environment.
• Ability to collaborate effectively with both technical and non-technical teams.
• Experience applying Lean methodologies and continuous improvement principles.
• An attached resume is required.

Exceptional Candidates Might Have

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