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Guidehouse

Advises agencies and runs regulated operations

Technical SETA SME - AI Security

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-timeBethesda, MD, USA

About the Job

Requirements

  • A bachelor's degree in physics, mathematics, computer science, cybersecurity, or relevant engineering fields (electrical, computer, systems, or software) is required. A master's degree may be used in lieu of two years of relevant work experience.
  • At least eight years of work experience in a science, technology, engineering, or mathematics field is required.
  • Progressive cybersecurity experience with significant demonstrated experience in AI/ML security, data science security, or a closely related field within a federal government or large enterprise environment is required.
  • Expert-level knowledge of AI/ML security principles, adversarial machine learning concepts, and AI-specific threat vectors, including model poisoning, adversarial attacks/evasion, model inversion, and data integrity threats, is required.
  • Understanding of secure data architectures and pipelines for large-scale analytics/intelligence production is required.
  • Familiarity with AI governance, data quality, and mission assurance in operational settings is required.
  • Demonstrated familiarity with federal AI governance frameworks and requirements, including NIST AI RMF, Executive Order 13960, Executive Order 14110, and other AI memoranda and guidance, is required.
  • Experience with AI red teaming, adversarial robustness testing, or AI penetration testing methodologies is required.
  • Experience creating program plans, work breakdown structures, and milestone schedules is required.

Responsibilities

  • Support execution of the research program lifecycle, from development and source selection through execution, closeout, and transition.
  • Attend meetings, workshops, conferences, and testing events as the Subject Matter Expert.
  • Serve as the Subject Matter Expert in AI Security, specializing in AI/ML systems, adversarial threats, and machine learning engineering using artificial intelligence.
  • Work five days per week on the client site in Bethesda, Maryland, and travel up to 10%.

Desired Qualifications

  • A master's degree or PhD in cybersecurity, physics, mathematics, computer science, artificial intelligence, data science, or relevant engineering fields (electrical, computer, systems, or software), with at least four years of work experience.
  • Prior experience serving as an AI security subject matter expert or advisor supporting a federal civilian agency.
  • Experience in the Intelligence Community, including requirements, CONOPS, and transition.
  • Experience managing a multidisciplinary research and development or test and evaluation team.
  • Experience as a Project Manager or Deputy Project Manager.
  • Experience using large language models and agentic tools in daily workflows.
  • Experience using Python, common deep learning frameworks, large language model software infrastructure, and cybersecurity tooling.
  • Ability to proactively manage multiple concurrent tasks.
  • One or more of the following certifications: CISSP, CISM, CAISS, or an equivalent senior-level cybersecurity certification, supplemented by demonstrated AI/ML security expertise.
  • Writing and editing skills, including the ability to develop succinct, comprehensive, and understandable documents using complex data from multiple sources.
  • Slide development and PowerPoint skills, including the ability to visually communicate complex ideas at a high level for technically savvy but non-expert audiences.

About the Company

Guidehouse

Advises agencies and runs regulated operations

Guidehouse advises government agencies and companies in regulated industries on strategy, technology and day-to-day operations. Its work combines business advice with software implementation and ongoing management, so a client uses the same firm to plan a change, build the systems and run the resulting processes. Teams modernize cloud platforms, apply data analysis and artificial intelligence, and redesign organizations to meet operating and regulatory requirements. Clients pay for consulting projects and technology work or outsource continuing business functions to its managed services teams. Guidehouse was founded in 2018 and is headquartered in McLean, Virginia.

Company size
10,001+
Company stage
Acquired
Total funding
$750K
Headquarters
McLean, VA
Founded
2018

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