Lead AI Engineer
AI summary of the role
Lead AI engineer role at Daimler Truck North America, owning end-to-end delivery of AI-enabled solutions across Procurement and Supply Chain.
What you’ll do
- Design, build, deploy, and maintain AI applications on Palantir Foundry and associated platforms
- Lead cross-functional team of AI and data engineers to deliver business value
- Define ontology, data models, and integration architecture
- Own operational support, monitoring, and incident resolution for deployed AI apps
What you’ll bring
- Bachelor's degree in CS, engineering, data science, or related field plus 5 years experience
- At least 1 year of group leader or project lead experience
- 2+ years in AI engineering, data engineering, software development, or supply chain
- Strong programming in Python, Java, C++, TypeScript/JavaScript, SQL
Technologies
Palantir Foundry · LLM · AI agents · RAG · Python · Java · C++ · TypeScript · SQL · machine learning
Source and classification
Internal deployment & tooling · Evidence for this classification:
Inside the Role In this role, as a lead AI engineer, you will be responsible for the end-to-end delivery, adoption, and value realization of AI-enabled solutions. The role provides technical leadership, delivery oversight, people leadership, and strategic direction to ensure AI applications are successfully designed, developed, deployed, operated, and adopted across Procurement and Supply Chain functions. The AI lead serves as the primary owner of technical execution and business outcomes, leading a cross-functional team of AI Engineers, Data Engineers, and business stakeholders. This position balances technical expertise, product ownership, stakeholder management, and people leadership to drive scalable AI and data solutions that deliver measurable business value. Posting Information We provide a scheduled posting end date to assist our candidates with their application planning.
More from the job description
Inside the Role In this role, as a lead AI engineer, you will be responsible for the end-to-end delivery, adoption, and value realization of AI-enabled solutions. The role provides technical leadership, delivery oversight, people leadership, and strategic direction to ensure AI applications are successfully designed, developed, deployed, operated, and adopted across Procurement and Supply Chain functions. The AI lead serves as the primary owner of technical execution and business outcomes, leading a cross-functional team of AI Engineers, Data Engineers, and business stakeholders. This position balances technical expertise, product ownership, stakeholder management, and people leadership to drive scalable AI and data solutions that deliver measurable business value. Posting Information 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. We Take Care of Our Team Position offers a starting salary range of $117,000.00 - $150,000.00 USD Pay offered dependent on knowledge, skills, and experience Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calen [... source excerpt omitted ...] ata architectures that maximize interoperability, discoverability, and future use-case expansion. Collaborate with IT on security, permissions, governance, and system integration requirements. 3. Platform Engineering 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, [... source excerpt omitted ...] 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
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