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Lead AI Assurance Engineer

Job in McLean, Fairfax County, Virginia, USA
Listing for: MITRE
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cybersecurity, Information Security & Data Protection, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 174000 - 261000 USD Yearly USD 174000.00 261000.00 YEAR
Job Description & How to Apply Below

At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity.

Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose - and help shape the future.

Department Summary

MITRE's Trustworthy & Secure AI (TSAI) Department consists of a diverse team united by a passion and a sense of urgency to harness trustworthy and assured artificial intelligence (AI) to help solve problems in the public interest. The TSAI Department supports our sponsors' missions by delivering capabilities for securing and increasing trust in AI-enabled systems, including data driven AI risk awareness and mitigation, AI red teaming, and trusted tools and techniques for applying AI in high consequence environments.

The TSAI Department works across government, industry, and academia to provide, assess, and shape trustworthy and secure AI systems to address complex mission needs for our sponsors. Our work provides opportunities to address real-world challenges in the rapidly developing field of AI assurance, and to research and prototype new methods to address mission needs. We are looking for highly motivated, adaptive, and self-directed candidates to perform research, development, engineering, evaluation, and integration of secure AI systems.

Roles & Responsibilities

This position involves shaping processes and safeguards that ensure that federal AI systems are trustworthy and compliant. It is at the intersection of AI policy, risk management, assurance, and technology oversight. Specific responsibilities will include:

  • Design and operationalize AI governance frameworks that align 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 to 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 both innovation goals and governance requirements
  • Lead, mentor, and collaborate with technical staff
Basic Qualifications
  • Typically requires a minimum of 8 years of experience in artificial intelligence with a Bachelor's degree in a relevant field; or 6 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of AI-related education and work experience.
  • Advanced understanding of foundational AI/ML theory, with demonstrated ability to reason about AI system behavior, vulnerabilities, and evaluation
  • Practical experience in one of the following areas:
    • AI Assurance:
      Developing or applying approaches to assess AI systems for security, reliability, risk, compliance, responsible use, and/or mission suitability
    • AI Strategy and Governance:
      Developing AI strategies, governance frameworks, policies, risk-management approaches, or implementation models that support responsible enterprise AI…
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