AI Security Engineer
Core
Design, implement, and manage security infrastructure for AI systems, securing the full lifecycle from data to production against emerging AI-specific threats.
Role type
AI Security Engineer (hands-on IC)
Builds
Secure AI infrastructure, pipelines, and models for global technology operations
Domain
Financial services / AI Security
Deliverable
production ML models
Required skills
Security engineering, adversarial AI testing, Python, cloud security, containerization, CI/CD, TCP/IP, AI supply chain security
Preferred skills
Red-teaming AI models, prompt injection defense, data poisoning mitigation, NIST AI Risk Management Framework, OWASP Top 10 for LLM
Technologies
AWS, GCP, Azure, Docker, Kubernetes, GitHub Actions
Responsibilities
Assess and harden AI systems against adversarial attacks; identify and mitigate AI-specific risks like prompt injection and data poisoning; red-team AI models and applications; secure AI supply chains including model weights; apply cloud security practices to AI infrastructure; partner with AI teams to build security into development; support data privacy and governance efforts.
Seniority
Mid-Senior, hands-on IC
