AI Security Governance and Risk Analyst - TS/SCI and Polygraph

General Dynamics Information TechnologyBethesda, MD
Onsite

About The Position

OWN YOUR OPPORTUNITY Explore a career in cyber at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your focus on defending and protecting what matters. Advance your career while impacting our national security in cyber as an AI Cybersecurity Engineer Sr Principal at GDIT. Here, technologists have many paths to grow a meaningful career supporting cyber missions and operations across the federal government. MEANINGFUL WORK AND PERSONAL IMPACT Develop AI system categorization and authorization boundary doctrine to support Authorizing Official (AO) risk decisions. Establish evidence standards for AI system assessments that distinguish demonstrated, testable control performance from vendor or developer attestation. Maintain AI governance frameworks against evolving federal AI policy, CNSS guidance, and NIST standards, updating assessment criteria as requirements change. Map federal AI policy requirements to NIST SP 800-53 controls and Zero Trust capability outcomes to produce actionable assessment criteria. Define continuous monitoring requirements to detect and assess unauthorized or undocumented changes to deployed AI models. Integrate adversarial threat considerations into AI assessment frameworks and evidence requirements. Lead or coordinate cross-team working groups to drive consistent application of AI assessment frameworks across the assessment organization. Coordinate with assessment teams to ensure consistent framework application and resolve interpretation gaps across concurrent AI assessments. Prepare and deliver stakeholder briefings, consultations, and training on AI governance requirements and assessment methodology. Provide advisory support to Authorizing Officials on AI system authorization decisions, risk posture, and residual risk acceptance.

Requirements

  • Bachelor’s degree in computer engineering, Computer Science, Electrical Engineering, Information systems, Information Technology, Cybersecurity, or a closely related discipline
  • 7+ years of related experience
  • TS/SCI with Polygraph
  • US citizenship required

Nice To Haves

  • Meets DoD 8570.01-M baseline certification requirement for Information Assurance Manager (IAM) Level III: CISSP (or Associate), CISM, or GSLC.
  • AI governance certification (e.g., ISACA AAISM, IAPP AIGP, CompTIA SecAI+) a plus
  • Experience translating policy or regulatory requirements into technical assessment criteria.
  • Strong writing skills, with experience producing governance frameworks, standards documents, or policy-to-practice mapping products.
  • Knowledge of NIST SP 800-53, Risk Management Framework, and AI risk management practices (e.g., NIST AI RMF).
  • Experience with IC or federal AI governance policy and directives.

Responsibilities

  • Develop AI system categorization and authorization boundary doctrine to support Authorizing Official (AO) risk decisions.
  • Establish evidence standards for AI system assessments that distinguish demonstrated, testable control performance from vendor or developer attestation.
  • Maintain AI governance frameworks against evolving federal AI policy, CNSS guidance, and NIST standards, updating assessment criteria as requirements change.
  • Map federal AI policy requirements to NIST SP 800-53 controls and Zero Trust capability outcomes to produce actionable assessment criteria.
  • Define continuous monitoring requirements to detect and assess unauthorized or undocumented changes to deployed AI models.
  • Integrate adversarial threat considerations into AI assessment frameworks and evidence requirements.
  • Lead or coordinate cross-team working groups to drive consistent application of AI assessment frameworks across the assessment organization.
  • Coordinate with assessment teams to ensure consistent framework application and resolve interpretation gaps across concurrent AI assessments.
  • Prepare and deliver stakeholder briefings, consultations, and training on AI governance requirements and assessment methodology.
  • Provide advisory support to Authorizing Officials on AI system authorization decisions, risk posture, and residual risk acceptance.

Benefits

  • Medical plan options
  • Health Savings Accounts
  • Dental plan options
  • Vision plan
  • 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match
  • Full flex work weeks where possible
  • Variety of paid time off plans, including vacation, sick and personal time, holidays
  • Paid parental, military, bereavement and jury duty leave
  • Short and long-term disability benefits
  • Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service