Technical SETA SME - AI Security

M1 Technology • Bethesda, MD

12d • Onsite

About The Position

M1 Technology, LLC is seeking a Technical SETA SME - AI Security to join one of our subsidiaries in Bethesda, Maryland. This role requires a strong background in cybersecurity with a significant focus on AI/ML security and data science security within a federal government or large enterprise environment. The ideal candidate will possess expert-level knowledge of AI/ML security principles, adversarial ML concepts, and AI-specific threat vectors. They will also understand secure data architectures and pipelines for large-scale analytics, AI governance, data quality, and mission assurance. Familiarity with federal AI governance frameworks and experience with AI red teaming or penetration testing methodologies are essential. The role involves creating program plans, work breakdown structures, and milestone schedules.

Requirements

• Bachelor’s degree in physics, mathematics, computer science, cybersecurity, or relevant engineering fields (electrical, computer, systems, software).
• EIGHT (8) or more years of work experience in a science, technology, engineering, or mathematics field.
• Progressive experience in cybersecurity with significant demonstrated experience in AI/ML security, data science security, or a closely related field within a federal government or large enterprise environment.
• Expert‑level knowledge of AI/ML security principles, adversarial ML concepts, and AI‑specific threat vectors including model poisoning, adversarial attacks/evasion, model inversion, and data integrity threats.
• Understanding of secure data architectures and pipelines for large‑scale analytics/intelligence production.
• Familiarity with AI governance, data quality, and mission assurance in operational settings.
• 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.
• Experience with AI red teaming, adversarial robustness testing, or AI penetration testing methodologies.
• Experience creating program plans, work breakdown structures, and milestone schedules.
• TS/SCI with Polygraph Clearance Required.

Nice To Haves

• Master’s degree or PhD in cybersecurity, physics, mathematics, computer science, artificial intelligence, data science, or relevant engineering fields (electrical, computer, systems, software) with four (4) or more years of work experience.
• Prior experience serving as an AI security SME or advisor supporting a federal civilian agency.
• Experience in the Intelligence Community (IC), including requirements, CONOPS, and transition.
• Experience managing a multi‑disciplinary R&D or T&E team.
• Experience as a Project Manager or Deputy Project Manager.
• Experience using LLMs and agentic tools in your daily workflows.
• Experience using Python, common deep learning frameworks, LLM software infrastructure, and cybersecurity tooling.
• Ability to proactively manage multiple, concurrent tasks.
• One or more of the following certifications: CISSP, CISM, CAISS, or equivalent senior‑level cybersecurity certification, supplemented by demonstrated AI/ML security expertise.
• Excellent writing and editing skills, including the ability to develop succinct, comprehensive, and understandable documents using complex data from multiple sources.
• Excellent slide development and PowerPoint skills, with the ability to visually communicate complex ideas at a high level for technically savvy but non‑expert audiences.

Responsibilities

• Provide expert-level knowledge of AI/ML security principles, adversarial ML concepts, and AI-specific threat vectors including model poisoning, adversarial attacks/evasion, model inversion, and data integrity threats.
• Understand secure data architectures and pipelines for large-scale analytics/intelligence production.
• Demonstrate familiarity with federal AI governance frameworks and requirements, including NIST AI RMF, Executive Order 13960, Executive Order 14110, and other AI memoranda and guidance.
• Gain experience with AI red teaming, adversarial robustness testing, or AI penetration testing methodologies.
• Create program plans, work breakdown structures, and milestone schedules.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior