AI Security Engineer (gn)
Tasks
- Assess AI threat models
- Build monitoring capabilities for AI applications
- Collaborate with security operations teams to investigate incidents
- Conduct AI red teaming
- Conduct architecture assessments
- Define AI security requirements
- Detect data leakage risks
- Identify jailbreaking risks
- Identify prompt injection risks
- Implement secure AI by design
- Implement security by default
- Integrate AI security checks into CI CD
- Integrate AI security checks into DevSecOps
- Integrate AI security checks into MLOps
- Mitigate model poisoning risks
- Perform risk assessments
- Secure AI systems
- Support AI rollout with training and standards
Perks/Benefits
Skills/Tech-stack
Adversarial Attacks | Architecture Review | By Design | CI/CD | Data leakage | Detection | DevSecOps | Generative AI | Jailbreaking | LLM security | Language Models | Large Language Models | MLOps | Model poisoning | Monitoring | Prompt injection | Red Teaming | Risk Assessment | Secure by Design | Security Reviews | Security-by-default | Threat Assessment | Threat modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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