Identifying AI Talent for the DoD Workforce

Finding and growing AI and Data talent is essential for mission success, but many skilled workers remain unseen because they lack traditional credentials. This session introduces practical strategies and prototype tools that help individuals demonstrate what they know while helping managers identify and evaluate emerging talent in these fields. Attendees will explore micro-assessments reflecting real data science and AI workflows, see how skills can be measured meaningfully at scale, and gain insights on fostering AI and Data readiness across the federal workforce. Whether you’re building your career or building your team, come learn how to connect talent with opportunity in the evolving AI landscape.

What Attendees Will Learn:

Common barriers to finding and recognizing hidden AI and Data talent.
The role of a practical work role rubric in aligning skills with mission needs.
How prototype assessments and discovery tools can help surface and showcase talent.

Speaker and Presenter Information

Eric Keylor, PhD is an AI Workforce Development Engineer in the SEI AI Division. He has extensive experience developing instructional experiences using new media, virtual reality, and video games. He is currently researching and developing ways to leverage AI for instructional and training interventions. Previous DoD work includes projects with the National Shipbuilding Research Program and the Department of the Air Force Chief Data and AI Office.

Intae Nam is an Associate AI Workforce Development Engineer in the SEI AI Division. He was former active-duty DAF as a cyber warfare operator, and his education background is information security and computer science. Prior to the AI Division, Intae also worked in SEI CERTs Cyber Misson Readiness, focusing on education and simulation tools. Intae is currently researching into ways that AI can accelerate DoD mission spaces.

Dominic Ross is a workforce expert at the intersection of media technology and artificial intelligence, boasting over 15 years of experience. In his role at Carnegie Mellon Universitys Software Engineering Institute, he focuses on generative AI challengesmost notably misinformation and workforce development. His skill set encompasses media forensics, deepfakes, and media engineering, as well as expertise in game engines and advanced 3D workflows for asset creation, collection, and conversion.