Artificial Intelligence Governance Specialist
Listed on 2026-07-01
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IT/Tech
Cybersecurity, AI Engineer (Applied/Software), AI Business & Operations, Information Security
Cyber Risk and Compliance Specialist
- Artificial Intelligence Governance
This role combines technical AI research expertise with practical governance oversight to ensure responsible AI deployment across our organization. This position will report directly to the Manager, Cyber Risk & Compliance, who leads the AI risk assessment process and will work closely with the Artificial Intelligence & Data team as well as others in Cyber Risk & Compliance.
As a Cyber Risk and Compliance Specialist
- Artificial Intelligence Governance, the work you'll do at GDIT will be impactful to the mission of the organization by ensuring responsible, secure, and compliant deployment of AI systems. You will play a crucial role in supporting GDIT's AI Governance processes by bridging technical AI research with practical oversight.
Lead/Manage/Support identification and assessment of cybersecurity vulnerabilities within AI systems and ensure security protocols are implemented across AI model training, deployment, and maintenance. Collaborate with the Artificial Intelligence & Data team and cross-functional governance committees to guide secure, ethical, and compliant AI initiatives. Drive organizational compliance with internal policies, emerging AI laws, and regulatory frameworks by developing governance frameworks, assessment tools, and documentation that evaluate AI system capabilities and risk profiles.
Utilize AI/ML expertise, cybersecurity principles, and knowledge of regulatory frameworks such as CMMC, NIST 800-171, NIST AI RMF, GDPR, and data privacy standards.
Bring your cyber expertise and drive for innovation to GDIT. The Cyber Risk and Compliance Specialist
- Artificial Intelligence Governance must have:
Education:
BS degree in Computer Science, AI/ML, Data Science, or a related technical field (or an equivalent combination of education and experience)
Experience:
5+ years of hands on experience in AI/ML research or applied AI development Technical skills:
Strong understanding of machine learning algorithms, deep learning architectures, AI safety concepts; foundation in cybersecurity; knowledge of regulatory frameworks and AI ethics
Role requirements:
Excellent communication skills, analytical and strategic thinking, strong project management abilities, and precision in documentation and compliance processes
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