Senior Security AI Engineer
Core
Define and govern security standards for AI/ML adoption, secure AI infrastructure and pipelines, and lead incident response for AI-specific threats.
Role type
Senior Security AI Engineer (AI/ML Security & MLSecOps)
Builds
Secure AI/ML systems, pipelines, and cloud AI services (Azure OpenAI, AWS Bedrock)
Domain
Cybersecurity, Artificial Intelligence, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
AI/ML security, MLSecOps, OWASP LLM Top 10, threat modeling, incident response, cloud security (AWS/Azure/GCP), secure SDLC, network security basics
Preferred skills
Python, PowerShell, API security testing, container security, IAM, adversarial ML tactics
Technologies
Azure OpenAI, AWS Bedrock, GCP Vertex AI, CI/CD pipelines, IDS/IPS
Responsibilities
Define AI security standards and policies, lead cross-functional AI security initiatives, coordinate security team activities, oversee MLSecOps integration, manage AI risk and threat modeling, lead incident response for AI infrastructure
Seniority
Senior, hands-on IC with mentorship
