AI Security Technical SME - TS/SCI with Polygraph

M1 Technology

Bethesda (MD)

On-site

USD 180,000 - 240,000

Full time

5 days ago
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Job summary

M1 Technology, LLC seeks a Technical SETA SME - AI Security to join our Bethesda, Maryland team. The role requires TS/SCI with Polygraph and deep expertise in AI/ML security within federal or large enterprise environments.

The candidate will contribute to secure AI governance, data architectures, and adversarial testing, shaping program plans and roadmaps for mission-critical AI systems.

Qualifications

  • Bachelor’s degree in physics, mathematics, computer science, cybersecurity, or relevant engineering fields (electrical, computer, systems, software)
  • Master’s degree may be used in lieu of two years of relevant work experience
  • Eight or more years of work experience in STEM fields
  • Progressive cybersecurity experience with AI/ML security, data science security, or related field in gov or large enterprise
  • Expert-level knowledge of AI/ML security principles and AI threats
  • Understanding of secure data architectures for large-scale analytics
  • Familiarity with AI governance, data quality, and mission assurance
  • Familiarity with federal AI governance frameworks (NIST AI RMF, EO 13960, EO 14110)
  • Experience with AI red-teaming or adversarial robustness testing
  • Experience creating program plans, work breakdown structures, and milestones

Skills

AI/ML security
Adversarial ML
Data security
Secure data architectures
AI governance
NIST AI RMF
Project management
Python
Deep learning frameworks
Cybersecurity tooling

Education

Bachelor's degree in physics, mathematics, computer science, cybersecurity, or relevant engineering fields
Master’s degree may substitute for 2 years of experience

Tools

LLM tooling
AI red-teaming tools

Job description

M1 Technology, LLC seeks a Technical SETA SME - AI Security to join our Bethesda, Maryland team. The role requires TS/SCI with Polygraph and deep expertise in AI/ML security within federal or large enterprise environments.

The candidate will contribute to secure AI governance, data architectures, and adversarial testing, shaping program plans and roadmaps for mission-critical AI systems.

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