Technical SETA SME - AI Security

M1 Technology • Bethesda, MD

11h • 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, data science security, and federal AI governance frameworks. The ideal candidate will possess expert-level knowledge of AI/ML security principles, adversarial ML concepts, and AI-specific threat vectors, as well as experience in creating program plans and 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

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 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.
• Apply 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.
• Familiarize with AI governance, data quality, and mission assurance in operational settings.
• 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.
• Engage in 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