Technical SETA SME - AI Security

M1 Technology LLC; Bethesda (MD); On-site; USD 180,000 - 240,000; Full time

Job summary

M1 Technology, LLC is seeking a Technical SETA SME - AI Security to join our Bethesda, Maryland team. The role requires TS/SCI with Polygraph and extensive experience in AI/ML security, adversarial robustness, and secure data architectures to support federal and large enterprise clients.

The candidate will contribute to AI governance, data quality, and mission assurance, applying AI red-teaming methods and security-focused ML rigor across complex analytics environments.

Qualifications

• Bachelor's degree in physics, mathematics, computer science, cybersecurity, or relevant engineering fields
• Master's degree may be used in lieu of two years of relevant work experience
• Eight (8) or more years of work experience in STEM fields
• Progressive experience in cybersecurity with AI/ML security
• Expert‑level knowledge of AI/ML security principles and adversarial ML concepts
• Understanding of secure data architectures for large-scale analytics
• Familiarity with AI governance and mission assurance
• Familiarity with federal AI governance frameworks (NIST AI RMF, EO 13960/14110)
• Experience with AI red teaming or AI penetration testing
• Experience creating program plans and milestones

Skills

AI/ML security

Adversarial ML concepts

Data governance

NIST AI RMF knowledge

AI red teaming

Project planning

Communication skills

PowerPoint

Education

Bachelor's degree in physics, mathematics, computer science, cybersecurity, or relevant engineering fields

Master's degree may be used in lieu of two years of experience

Tools

Python

Deep learning frameworks

LLM software infrastructure

Cybersecurity tooling

Job description

M1 Technology, LLC is seeking a Technical SETA SME - AI Security to join one of our subsidiaries in Bethesda, Maryland.

Clearance Requirement

TS/SCI with Polygraph

Required 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 (2) years of relevant work experience
• 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

Preferred Qualifications

• 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