AI Security Engineer (gn)
Tasks
- Analyze security incidents with security operations
- Build monitoring and detection for AI applications
- Conduct AI red teaming
- Conduct risk analysis
- Develop mitigations for data leakage
- Develop mitigations for jailbreaking
- Develop mitigations for prompt injection
- Develop secure AI by design
- Integrate AI security into CI/CD
- Integrate AI security into DevSecOps
- Integrate AI security into MLOps
- Perform AI threat modeling
- Perform security assessments
- Provide security guidance for AI usage
- Run architecture reviews
- Secure AI system implementation
- Support security training and standards
Perks/Benefits
- Company pension
- Employee discounts
- Fitness allowance
- Flexible working hours
- Homeoffice
- Public Transit Allowance
- Workation option
Skills/Tech-stack
AI RMF | Adversarial Attacks | Agentic AI | Amazon Web Services | Architecture Review | Azure | CI/CD | Cloud platform | Data leakage | DevSecOps | Generative AI | Google Cloud | Google Cloud Platform | Jailbreaking | LLM Applications | LLM security | Language Models | Large Language Models | MITRE ATLAS | MLOps | Model poisoning | NIST AI | NIST AI RMF | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLM | OWASP Top 10 for LLM Applications | Prompt injection | RAG | Red Teaming | Risk Assessment | Secure Software | Secure Software Development | Software development | Threat modeling | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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