AI Cybersecurity Engineer
Core
Design, secure, and operationalize AI-enabled cybersecurity capabilities to detect threats and defend against AI-enabled attacks across the enterprise.
Role type
Principal AI Cybersecurity Engineer (hands-on IC)
Builds
AI-driven threat detection and response capabilities, secure AI lifecycle practices, and security controls for AI systems
Domain
Cybersecurity + Artificial Intelligence/Machine Learning
Deliverable
production ML models | product features
Required skills
AI/ML techniques in security, cloud security, identity security, endpoint security, network security, data security, SIEM platforms, detection engineering, adversarial ML defense, model access control, MLOps security, Python scripting, automation
Preferred skills
Securing large language models (LLMs), secure AI development practices, regulated environment experience
Technologies
SIEM platforms, telemetry pipelines, Python, PowerShell
Responsibilities
Design and implement AI/ML-driven threat detection across cloud, endpoint, identity, and network; Detect and defend against AI-enabled attacks like prompt injection and model poisoning; Engineer high-fidelity detections and tune for precision; Define security controls for AI systems including training data protection; Partner with data science teams on secure AI lifecycle; Assess risks of third-party AI platforms; Map capabilities to NIST CSF, MITRE ATT&CK, and OWASP AI/LLM Top 10; Lead proof-of-concept efforts for AI in detection engineering; Research emerging AI threat techniques; Support incident response for AI-driven threats; Serve as technical mentor and subject matter expert
Seniority
Principal, hands-on IC
