Engineer Jobs

About The Position

Requirements

• Typically requires at least 8 years of AI experience with a relevant bachelor’s degree, 6 years with a master’s degree, or 3 years with a Ph.D.; an equivalent combination of AI-related education and work experience may also qualify.
• Advanced understanding of foundational AI/ML theory and demonstrated ability to reason about AI system behavior, vulnerabilities, and evaluation.
• Practical experience in AI assurance or AI strategy and governance, such as assessing AI systems for security, reliability, risk, compliance, responsible use, or mission suitability; or developing AI strategies, governance frameworks, policies, risk-management approaches, or implementation models.
• Knowledge of AI regulatory environments, including U.S. federal and state AI initiatives.
• Ability to engage senior mission stakeholders across technical and operational domains.
• Excellent written and verbal communication skills, including the ability to explain challenging technical concepts and influence cross-functional stakeholders.
• Active IC or DOD Secret security clearance; must be eligible to obtain and maintain a Top Secret/SCI with polygraph U.S. Government-issued clearance.
• Must be a U.S. citizen to be considered for a security clearance.
• Must work on-site at least three days per week.

Nice To Haves

• Advanced degree in computer science, engineering, data science, technology policy, or a related discipline.
• Experience performing AI risk assessments, evaluating AI systems for policy compliance, or applying governance frameworks such as NIST AI RMF and ISO/IEC 42001.
• Experience advising federal executives and senior government leaders on AI strategy, governance, assurance, risk, adoption, and implementation.
• Hands-on experience applying mechanistic interpretability techniques in support of AI safety research and evaluation.
• Understanding of model lifecycle management and associated operational risks.
• Experience leading teams of 10 or more to solve complex technical challenges.
• Familiarity with the MITRE ATLAS threat matrix.
• Active IC or DOD TS/SCI security clearance with CI Poly.

Responsibilities

• Design and operationalize AI governance frameworks aligned with NIST AI RMF, ISO/IEC 42001, and other global standards.
• Partner with engineering, data science, acquisition, and legal teams to integrate governance checkpoints into the AI development lifecycle.
• Support AI risk assessments and model explainability reviews for high-impact systems.
• Track and interpret evolving AI regulations and help sponsors translate them into actionable internal policies.
• Develop and deliver training programs to build AI governance literacy across technical and business teams.
• Collaborate with product leaders to ensure AI features meet innovation goals and governance requirements.
• Lead, mentor, and collaborate with technical staff.