CyberSecurity AI Engineer
Core
Securing AI/ML systems, LLMs, and model-serving environments against risks like prompt injection and data poisoning.
Role type
CyberSecurity AI Engineer
Builds
Secure AI/ML model development and deployment environments, automated detection tools, and security prototypes.
Domain
Cybersecurity, Artificial Intelligence, Machine Learning
Deliverable
production ML models
Required skills
Adversarial machine learning concepts, AI system architectures, Python scripting, MITRE ATLAS, OWASP LLM Top 10, security automation frameworks, LLM deployment governance
Preferred skills
Enterprise risk management frameworks, PyTorch, TensorFlow, Hugging Face, application security, DevSecOps
Technologies
Anthropic Claude, OpenAI, SageMaker, Azure ML, Vertex AI, SIEM, XDR
Responsibilities
Monitor and strengthen security posture of AI/ML systems and APIs, build detection capabilities for model misuse and unauthorized access, automate security monitoring workflows, conduct security testing and threat modeling, design model access controls and encryption, develop AI-specific risk frameworks and policies.
Seniority
Mid-level, hands-on IC