AI Security Engineer
Tasks
- Assess AI vendor and model supply chain risk
- Conduct pre deployment security reviews for AI features
- Conduct threat modeling for AI systems
- Create internal training for responsible AI use
- Define AI SDLC security standards
- Develop AI risk treatment plans
- Evaluate AI API data handling privacy and security
- Execute adversarial testing for AI models
- Implement access control guardrails
- Implement data governance controls
- Implement secure model training controls
- Map AI risk controls to ISO IEC 27001 Annex A
- Monitor emerging AI threats and regulations
- Perform AI security assessments
- Support AI security thought leadership content
- Test LLM applications for vulnerabilities
Perks/Benefits
- N/A
Skills/Tech-stack
AI Act | AI RMF | AI SDLC | API Security | AWS Bedrock | Access Control | Access Management | Adversarial Testing | Adversarial examples | Application Security Testing | Azure OpenAI | Data Governance | Data Privacy | Data poisoning | EU AI | EU AI Act | Google Vertex | Google Vertex AI | IEC 27001 | ISMS | ISO/IEC | ISO/IEC 27001 | Identity and Access Management | Identity and access | Jailbreak testing | JavaScript | LLM Applications | LLM security | MITRE ATLAS | Membership inference | Model inversion | NIST AI | NIST AI RMF | Network Security | OAuth | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLM | OWASP Top 10 for LLM Applications | Okta | Prompt injection | PyTorch | Python | Risk Assessment | Risk Management | SAML | SOC 2 | Secure Coding | Security Testing | Supply Chain | Supply chain risk | Supply chain risk management | TensorFlow | Threat modeling | Vertex AI | Web Application | Web Application Security Testing | Web application security
Education
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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