Senior AI Security Engineer / Technical SETA SME

TRIAEM, LLC•Bethesda, MD

1d•Onsite

About The Position

TRIAEM is seeking an experienced Senior AI Security Engineer / Technical SETA Subject Matter Expert to support a federal government customer in Bethesda, Maryland. The role requires an active TS/SCI security clearance with a Counterintelligence (CI) Polygraph. The selected candidate will provide specialized technical expertise in artificial intelligence and machine learning security, adversarial AI threats, secure data architectures, and federal AI governance. The individual will help government stakeholders assess AI security risks, evaluate emerging technologies, develop technical recommendations, and ensure AI systems align with mission and security requirements. The candidate will be employed directly by TRIAEM and support the federal customer through TRIAEM's subcontract relationship with a prime contractor.

Requirements

Active TS/SCI security clearance with a Counterintelligence (CI) Polygraph.
Ability to support the customer at the Bethesda, Maryland duty location.
Bachelor's degree in physics, mathematics, computer science, cybersecurity, or a relevant engineering discipline, including electrical, computer, systems, or software engineering.
Eight or more years of professional experience in a STEM field; a relevant master's degree may substitute for two years of relevant work experience.
Progressive cybersecurity experience with significant AI/ML security, data science security, or closely related experience in a federal government or large enterprise environment.
Expert knowledge of AI/ML security principles, adversarial machine learning, model poisoning, adversarial attacks, evasion, model inversion, and data integrity threats.
Experience evaluating secure data architectures and pipelines supporting large-scale analytics or intelligence systems.
Knowledge of AI governance, data quality, and mission assurance.
Familiarity with the NIST AI Risk Management Framework, Executive Orders 13960 and 14110, and other applicable federal AI guidance.
Experience supporting AI red teaming, adversarial robustness testing, AI penetration testing, or related AI security evaluations.
Experience developing program plans, work breakdown structures, and milestone schedules.
Strong analytical, technical writing, and communication skills.

Nice To Haves

Master's degree or PhD in a relevant technical discipline, with four or more years of applicable experience.
Experience serving as an AI security SME or technical advisor to a federal civilian agency.
Familiarity with Intelligence Community requirements, concepts of operations, and technology transition.
Experience managing multidisciplinary research and development or test and evaluation teams.
Previous experience as a Program Manager, Deputy Program Manager, or technical team lead.
Daily professional use of large language models, AI agents, and agentic AI tools.
Experience with Python, deep learning frameworks, LLM infrastructure, and cybersecurity testing tools.
Ability to manage concurrent technical assignments and proactively resolve issues.
Professional certifications such as CISSP, CISM, CAISS, or equivalent.
Excellent technical writing, editing, and Microsoft PowerPoint presentation skills.

Responsibilities

Provide senior technical advisory and systems engineering expertise in AI/ML security and cybersecurity.
Evaluate vulnerabilities and security risks involving AI systems, machine learning models, and supporting infrastructure.
Assess adversarial machine learning threats, including model poisoning, model inversion, evasion techniques, adversarial attacks, and data integrity threats.
Support AI red teaming, adversarial robustness testing, AI penetration testing, and related security evaluations.
Assess secure data architectures and pipelines supporting large-scale analytics and intelligence environments.
Provide technical guidance on AI governance, data quality, mission assurance, and risk management.
Apply NIST AI Risk Management Framework principles and relevant federal AI policies and guidance.
Support AI security requirements development, technical evaluations, risk assessments, and technology transition activities.
Develop and review program plans, work breakdown structures, milestone schedules, and technical documentation.
Collaborate with government stakeholders, systems engineers, cybersecurity specialists, researchers, and technical program managers.
Prepare technical assessments, recommendations, briefings, and presentations for government leadership.