GDMS Senior AI Governance & Risk Specialist

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Location Chantilly, VA
Work Type On-site
Employment Type Full Time
Posted On June 22, 2026
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Job Description

Basic Qualifications Bachelor’s degree or equivalent is required or the combination of education and relevant work experience plus minimum of 8 years of relevant experience; or Master’s degree plus a minimum of 6 years of relevant experience. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position Job Description GDMS operates one of the largest enterprise AI deployments in the defense industry not as a pilot program, not as a proof of concept, but deeply embedded in how our workforce operates every day. Adoption is broad, active, and accelerating, spanning generative AI copilots, LLM-powered applications, and a rapidly growing portfolio of agentic and autonomous AI systems. The governance challenge is not getting people to use AI it is keeping pace with a workforce that already does, while ensuring every deployment meets the risk, security, and compliance standards that mission-critical defense work demands. As a Sr. AI Governance & Risk Specialist, you will be a core practitioner on the Agentic AI Governance team, executing the day-to-day work that keeps GDMS AI deployment safe, accountable, and trusted. You will conduct and lead AI risk assessments, including real-time risk evaluation for active and in-flight deployments, perform governance audits, evaluate and ensure adherence to government and corporate AI regulations, lead implementation of corrective actions, and serve as a subject matter expert for engineering and program teams navigating the AI lifecycle. You will work directly with agentic tools and applications, bringing firsthand understanding of how they behave, where they fail, and what governance controls actually matter in practice. This role requires a blend of technical literacy and governance discipline. You do not need to be a researcher or model trainer, but you must understand how AI systems work well enough to assess risk with precision rather than refle…

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