Cyber Systems Engineering Associate

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.

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.