Design and implement scalable AI infrastructure for training, deployment, and monitoring of models
Build and optimize AI agents for cybersecurity use cases, including threat detection, triage, and automated response
Integrate AI solutions with existing security tools (e.g., SIEM, SOAR, EDR platforms)
Lead development of data pipelines and feature engineering workflows for security telemetry
Ensure reliability, performance, and security of AI systems in production environments
Collaborate with cybersecurity teams to translate operational needs into AI-driven solutions
Mentor junior engineers and contribute to best practices in AI engineering and MLOps
Stay current with advancements in AI (e.g., LLMs, agentic systems) and cybersecurity trends

Bachelor’s or Master’s degree in Computer Science, AI, or related field
3+ years of experience building and deploying machine learning or AI systems in production
Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, etc.)
Experience with cloud-based AI infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
Solid understanding of MLOps practices, CI/CD, and system monitoring
Knowledge of cybersecurity principles and tools (SIEM, IDS/IPS, threat intelligence platforms)
Experience building AI agents or working with LLM-based systems (e.g., LangChain, OpenAI APIs)
Familiarity with real-time data processing and streaming frameworks
Experience in security automation or incident response workflows
Contributions to open-source AI or security projects

Senior IT Security Analyst – AI, Information Security

Key skills