Artificial Intelligence Machine Learning Lead

$122,200 - $220,900/Yr

Leidos - Springfield, VA

Full-time - Senior

Springfield, VA

Professional, Scientific, and Technical Services

About the position

The Artificial Intelligence Machine Learning Lead at Leidos is responsible for spearheading the exploration and implementation of advanced AI frameworks and methodologies. This role involves documenting the entire lifecycle of AI models, from creation to deployment, while addressing associated risks and vulnerabilities. The AI/ML Lead will develop security strategies for AI/ML applications, ensure compliance with industry standards, and mentor security analysts and penetration testers, contributing to the overall mission of providing a secure computing environment for the Department of Homeland Security.

Responsibilities

• Lead research into AI/ML frameworks, ensuring alignment with emerging trends and technologies.
• Document the entire lifecycle of AI models, focusing on risks and vulnerabilities during model creation, deployment, and operation.
• Develop security strategies and testing procedures tailored to AI/ML applications, including real-world attack scenario simulations.
• Mentor security analysts and penetration testers, providing knowledge and tools for AI/ML risk assessment.
• Collaborate with IT security teams to implement AI/ML best practices and ensure compliance with industry and regulatory standards.

Requirements

• BS Degree and 12 - 15 years of experience.
• Expertise in documenting AI/ML lifecycle processes, identifying risks and mitigating vulnerabilities.
• Strong background in AI security, including the development of attack simulations and testing methodologies.
• Proven ability to lead teams and mentor professionals in AI/ML security techniques.
• GISP or SANS certification required.
• Active Secret Clearance with eligibility to upgrade to Top-Secret/SCI.

Nice-to-haves

• Experience developing AI security policies and frameworks for federal government or highly regulated environments.
• Familiarity with AI/ML frameworks and methodologies, including secure deployment and operational practices.
• Strong knowledge of AI/ML model testing, bias detection, fairness, and ethical AI practices.
• Experience conducting security evaluations and training sessions for AI/ML applications.
• Expertise in regulatory compliance related to AI security, including industry standards.