Lead AI Engineer

dtna; United States; On-site; USD 117,000 - 150,000; Full time

Benefits offered by this job

401k company match

4 weeks paid vacation

13+ calendar holidays

8 weeks paid parental leave

Healthcare plans

Tuition assistance

Job summary

DTNA is seeking a Lead AI Engineer to drive end-to-end AI delivery across Procurement and Supply Chain. You will provide technical leadership, oversee cross-functional teams of AI Engineers and Data Engineers, and align AI initiatives with business outcomes.

The role emphasizes hands-on delivery, stakeholder management, and scalable AI solutions with measurable value while mentoring others and guiding strategy across enterprise platforms.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, Physics, Supply Chain, or a related field; 5+ years of relevant experience.
• At least 1 year of group leader, project lead or mentoring experience required.

Responsibilities

• AI Application Development & Delivery Design, build, test, deploy, and maintain AI-enabled applications.
• Ontology, Data & Integration Architecture Define and consult on ontology design and schema architecture.
• Platform Engineering Design and support infrastructure architecture for AI and data applications.
• Platform Operations & Support Own operational support for deployed AI applications.
• Continuous Improvement & Innovation Apply Lean principles and automation for AI initiatives.
• Community Development & Adoption Promote AI literacy and training across teams.
• Governance & Strategic Alignment Contribute to governance reviews and architecture decisions.

Skills

Group leader

Project lead

Mentoring

Education

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

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+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.

What You Drive at DTNA

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.
   Participate in rapid, iterative development cycles to deliver business value quickly.
   Engineer scalable and reusable solutions with global deployment potential.
2. Ontology, Data & Integration Architecture 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.
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, 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.
5. Continuous Improvement & Innovation 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 th