Technical SETA SME – AI Security

Location: Bethesda, MD Focus: Intelligence Community | Advanced AI & Cybersecurity R&D Help Shape the Security of the Next Generation of Artificial IntelligenceTRIAEM is seeking an experienced Technical SETA SME – AI Securityto support cutting-edge research and development within the Intelligence Community. This is an opportunity for a senior cybersecurity and AI/ML professional to work at the intersection ofartificial intelligence, national security, advanced research, and emerging technology. In this role, you will provide technical expertise and strategic guidance across highly innovative AI security initiatives—helping evaluate emerging technologies, identify vulnerabilities and adversarial threats, strengthen AI/ML systems, and support the transition of research into mission-relevant capabilities. We’re looking for someone who understands not only traditional cybersecurity, but also the rapidly evolving risks unique to AI—includingadversarial machine learning, model poisoning, evasion attacks, model inversion, data integrity, AI red teaming, and secure AI architectures. If you are energized by difficult technical problems, emerging AI threats, and the opportunity to help protect advanced technologies supporting the nation’s intelligence mission, we’d like to hear from you. What Candidates Will Need Bachelor’s degreein physics, mathematics, computer science, cybersecurity, or a relevant engineering field such as electrical, computer, systems, or software engineering. A Master’s degree may be used in lieu oftwo (2) years of relevant work experience .Eight (8) or more years of work experiencein a science, technology, engineering, or mathematics (STEM) field. Progressive experience incybersecurity, with significant demonstrated experience inAI/ML security, data science security, or a closely related fieldwithin a federal government or large enterprise environment. Expert-level knowledge ofAI/ML security principles, adversarial machine learning concepts, and AI-specific threat vectors, including: Model poisoning Adversarial attacks and evasion Model inversion Data integrity threats Understanding ofsecure data architectures and pipelinessupporting large-scale analytics and intelligence production. Familiarity withAI governance, data quality, and mission assurancein operational environments. Demonstrated familiarity withfederal AI governance frameworks and requirements, including: NIST AI Risk Management Framework (AI RMF) Executive Order 13960 Executive Order 14110 Other applicable federal AI memoranda, policies, and guidance Experience withAI red teaming, adversarial robustness testing, or AI penetration testing methodologies .Experience creatingprogram plans, work breakdown structures (WBS), and milestone schedules .What Would Be Nice to HaveMaster’s degree or PhDin cybersecurity, physics, mathematics, computer science, artificial intelligence, data science, or a relevant engineering field such as electrical, computer, systems, or software engineering, withfour (4) or more years of work experience .Prior experience serving as anAI Security SME or technical advisorsupporting a federal civilian agency. Experience within the Intelligence Community (IC), including familiarity with requirements, Concepts of Operations (CONOPS), and technology transition. Experience managing amultidisciplinary R&D or Test & Evaluation (T&E) team .Experience serving as aProject Manager or Deputy Project Manager .Experience incorporatinglarge language models (LLMs) and agentic AI toolsinto daily technical workflows. Hands‑on experience with Python, common deep learning frameworks, LLM software infrastructure, and cybersecurity tooling .Ability to proactively managemultiple concurrent technical and programmatic tasks .One or more senior‑level cybersecurity certifications, such as: CISSPCISMCAISSEquivalent senior‑level cybersecurity certification supplemented by demonstrated AI/ML security expertise Excellentwriting and editing skills, including the ability to develop succinct, comprehensive, and understandable technical documents using complex information from multiple sources. Excellentpresentation development and PowerPoint skills, with the ability to visually communicate complex technical concepts at a high level to technically savvy but non-expert audiences.