Head of AI Engineering for Enterprise Solutions

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

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.