AI Security Specialist

Leidos•Ashburn, VA

4d•Onsite

About The Position

The Department of Homeland Security (DHS), Customs and Border Protection (CBP) Cyber Security Directorate (CSD) Security Operations Center (SOC) is a US Government program responsible to prevent, identify, contain and eradicate cyber threats to CBP networks through monitoring, intrusion detection and protective security services to CBP information systems including local area networks/wide area networks (LAN/WAN), commercial Internet connection, public facing websites, wireless, mobile/cellular, cloud, security devices, servers and workstations. The CBP SOC is responsible for the overall security of CBP Enterprise-wide information systems, and collects, investigates, and reports any suspected and confirmed security violations. Leidos is looking for an Artificial Intelligence (AI) Security Specialist to support the testing, reporting and vetting of AI applications, provide AI adversarial testing, AI defense, and AI reporting.

Requirements

BS degree in Information Technology, Software Engineering, or related field and a minimum of 8-12 years of prior relevant experience
Additional experience or applicable certifications acceptable in lieu of degree.
Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.
Working knowledge of Large Language Models (LLMs) and agent frameworks
Experience using various vector databases
Familiarity with deployment processes of virtualized and containerized environments
Organized and detail-oriented
Strong leadership skills
Ability to manage and prioritize own work
Active Secret Clearance required
Must be able to obtain and maintain a CBP -BI background clearance.
Must be able to report to the Ashburn VA office up to 5 days per week.

Nice To Haves

Master’s degree from an accredited college or university in IT Management, Engineering, or related field
Experience designing enterprise AI governance, model risk management, and bias mitigation frameworks.
Experience integrating AI/ML workloads with GPU-accelerated environments and performance optimization strategies.
Experience supporting enterprise data, analytics, and AI platform modernization initiatives.
Advanced cloud architecture certification (e.g., AWS Solutions Architect – Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect).
Proven experience in designing and deploying AI/ML models in production environments.
Strong programming skills in languages such as Python, R, or Java.
Experience with data pipeline construction and management

Responsibilities

Testing capabilities to determine what vulnerabilities exist in various AI implementations.
Identify areas vulnerable to attacks leveraging AI capabilities and provide assistance in identifying and implementing solutions to protect from AI assisted attacks.
Support enterprise system architecture activities to define and scope various AI solutions.
Identify and integrate appropriate COTS, government, and custom tools within established frameworks.
Collaborate with cross-functional teams to ensure alignment with enterprise architecture and security requirements.
Manage project timelines and deliverables, ensuring adherence to quality standards.
Facilitate communication between technical teams and stakeholders to align project goals.
Stay updated on industry trends and advancements in AI/ML technologies.
Develop and implement best practices for model development and deployment.
Ensure compliance with cybersecurity policies and standards throughout the project lifecycle.