GDMS Senior AI Governance & Risk Specialist

GDMS Senior AI Governance & Risk Specialist

Bachelor's degree or equivalent is required, or the combination of education and relevant work experience with a minimum of 8 years of experience; or a Master's degree with a minimum of 6 years of experience in AI governance, technology risk, cybersecurity GRC, responsible AI, or AI/ML compliance.

Due to the nature of work performed within our facilities, U.S. citizenship is required.

GDMS operates one of the largest enterprise AI deployments in the defense industry. The governance challenge is keeping pace with a workforce that already uses AI while ensuring every deployment meets the risk, security, and compliance standards that mission‑critical defense work demands.

As a Senior AI Governance & Risk Specialist you will be a core practitioner on the Agentic AI Governance team, executing 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.

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 reflexive caution.

• Conduct and lead comprehensive AI risk assessments and governance audits against emerging regulations for generative AI, LLM-based, and agentic applications; document findings, risk ratings, and mitigation strategies, and lead the implementation of corrective actions.
• Evaluate and ensure adherence to government and corporate AI policies, standards, and regulations across the six layers: AI inventory and discovery; data governance; security and access controls; model assurance; human oversight; and compliance and audit.
• Apply and maintain tiered governance frameworks calibrated to risk level, ensuring low‑risk use cases clear quickly while mid‑ and high‑risk applications receive appropriate scrutiny and escalation.
• Maintain the enterprise AI use inventory and control framework, including system inventory, risk register, shadow AI detection, approved use catalog, and control mapping, with accurate and current governance tracking; support dashboard reporting and KPI monitoring for AI governance program health.
• Prepare governance recommendations for approval and escalation, ensuring mid‑ and high‑risk AI systems are escalated with clear risk rationale and decision support materials.
• Support development of self‑service governance tooling, checklists, and playbooks that enable program teams to adopt AI responsibly without requiring individual review for low‑risk applications.

• Assess risks specific to agentic AI systems and multi‑agent architectures including tool‑calling behavior, memory and retrieval systems, external API access, autonomous decision loops, and agent‑to‑agent communication patterns.
• Apply failure mode analysis to evaluate behavioral boundaries, unintended action risks, adversarial prompt vulnerabilities, and out‑of‑scope execution risks for agentic deployments.
• Evaluate and document human‑in‑the‑loop (HITL) requirements and escalation thresholds appropriate to each agentic use case based on risk level, decision reversibility, and mission context.
• Conduct hands‑on evaluation of agentic tools and platforms including AI coding assistants, copilot‑style applications, and multi‑agent orchestration frameworks to ground governance assessments in actual system behavior rather than vendor documentation alone.
• Implement measures to monitor and mitigate risks associated with AI systems and data flows across GDMS IT and network infrastructure; investigate and manage responses to AI governance incidents, anomalies, and inquiries, working to prevent and mitigate exposure.