Develop and implement agentic AI systems to automate complex cybersecurity tasks and workflows.
Requirements
- 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).
- Familiarity with cloud security concepts and technologies.
- Familiarity with security information and event management (SIEM) or security orchestration, automation, and response (SOAR) systems.
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.
Other
- Bachelor's degree in Computer Science, Data Science, Cybersecurity, or a related field.
- Strong problem-solving skills and a passion for building autonomous systems.
- U.S. Citizenship is Required.
- Ability to obtain and maintain Secret clearance.
- Experience in a role involving AI, machine learning, or data analysis, with a specific focus on automation and cybersecurity.
