ABOUT PERATON

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Data Science, Cybersecurity, or a related field.
• Experience in involving AI, machine learning, or data analysis, with a specific focus on automation and cybersecurity.
• Experience with programming languages such as Python, R, or Java.
• Familiarity with machine learning frameworks like TensorFlow or Scikit-learn.
• Basic understanding of cybersecurity concepts, including common attack vectors, network protocols, and security tools.
• Knowledge of common agentic frameworks or concepts (e.g., LangChain, AutoGPT, or other orchestration techniques).
• Strong problem-solving skills and a passion for building autonomous systems.
• U.S. Citizenship is Required.
• Ability to obtain and maintain Secret clearance.

PREFERRED QUALIFICATIONS:

• Experience in a role involving AI, machine learning, or data analysis, with a specific focus on automation and cybersecurity.
• Familiarity with cloud security concepts and technologies.
• Familiarity with security information and event management (SIEM) or security orchestration, automation, and response (SOAR) systems.
• Experience in prompt engineering and fine-tuning large language models (LLMs).
• Knowledge of MLOps principles for model deployment and monitoring.
• Certifications in cybersecurity (e.g., CompTIA Security+, CEH) or data science are a plus.

ABOUT THE ROLE

We are seeking a motivated and analytical Cyber Systems Engineer with a focus on cybersecurity to join our team. This role is focused on developing and implementing agentic AI systems to automate complex cybersecurity tasks and workflows. The ideal candidate will have a foundational understanding of both cybersecurity principles and machine learning, with a strong passion for building autonomous agents that can proactively detect, respond to, and mitigate cyber threats.

KEY RESPONSIBILITIES:

• Design and develop AI agents that can autonomously perform a sequence of tasks to achieve a cybersecurity objective, such as threat hunting, incident response, or vulnerability management.
• Create and manage the software infrastructure for AI/ML pipelines, focusing on agentic frameworks and architectures.
• Integrate AI agents with existing security tools and platforms (e.g., SIEMs, SOAR) to enable autonomous action.
• Develop and implement data pipelines for training and evaluating AI models, using real-time security logs, network data, and threat intelligence.
• Collaborate with senior engineers and security analysts to identify high-value processes suitable for agentic automation.
• Monitor and debug the performance of deployed agents, implementing continuous learning and feedback loops to improve their effectiveness.
• Document all code, models, and processes to ensure clarity and maintainability.