Senior AI/ML Security Engineer — Red Team & Risk Vetting

Markesman LLC; Fort Meade (MD); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Markesman Group is seeking an AI/ML Security Engineer (Senior) at Fort Meade, MD to assess and secure machine learning systems, including LLMs, focusing on vulnerabilities and red-team testing. The role blends ML, cybersecurity, and intelligence analysis to support mission-focused AI initiatives.

The position requires Python development, Linux and Docker experience, and the ability to communicate security findings to both technical and non-technical stakeholders. Security clearance is required.

Qualifications

• Experience with Python development and automated testing.
• Experience working in Linux environments and with containerization technologies such as Docker.
• Experience conducting security assessments, red-team activities, or vulnerability testing.
• Ability to evaluate AI/ML system behavior and identify security risks.
• Ability to communicate technical findings and risk assessments clearly.

Responsibilities

• Conduct security assessments and red-team evaluations of AI and ML systems, including LLMs.
• Develop automated testing and evaluation frameworks using Python.
• Identify model vulnerabilities, failure modes, data leakage, and other security concerns.
• Analyze AI/ML outputs and document findings for technical and non-technical stakeholders.
• Support deployment and testing of AI systems in Linux and containerized environments.
• Collaborate with intelligence analysts and technical teams to assess operational risks.
• Provide recommendations to improve the security and resilience of AI-enabled systems.
• Support development of AI security strategies and testing methodologies.

Skills

Python

Automated testing

Linux

Docker

Security testing

Red-team

AI/ML risk evaluation

Communication

Education

Bachelor's degree

Tools

Docker

Linux

Job description

Markesman Group is seeking an AI/ML Security Engineer (Senior) at Fort Meade, MD to assess and secure machine learning systems, including LLMs, focusing on vulnerabilities and red-team testing. The role blends ML, cybersecurity, and intelligence analysis to support mission-focused AI initiatives.

The position requires Python development, Linux and Docker experience, and the ability to communicate security findings to both technical and non-technical stakeholders. Security clearance is required.