Senior AI Security Engineer
Tasks
- Adopt and govern AI development tools securely
- Assess AI technology risks
- Conduct security assessments
- Create deployment security checklists
- Define security requirements
- Design secure ci/cd pipelines
- Develop policy as code
- Establish SSDLC
- Evaluate AI development tools
- Implement alerting
- Implement log aggregation
- Implement security monitoring
- Integrate automated security controls into workflows
- Mitigate AI related security risks
- Perform penetration testing
- Perform threat modeling
- Perform vulnerability assessments
- Secure infrastructure-as-code
Perks/Benefits
- N/A
Skills/Tech-stack
AI RMF | AI Security | Blue Team | CI/CD | Cloud Security | DAST | Data leakage | Development Lifecycle | IAC scanning | Infrastructure Security | Infrastructure as Code | LLM Applications | LLM security | Log Aggregation | MITRE ATLAS | Model supply chain security | Model supply-chain | NIST AI | NIST AI RMF | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLM | OWASP Top 10 for LLM Applications | Penetration Testing | Policy-as-Code | Prompt injection | SAST | SCA | SOC Operations | Secrets Scanning | Secure Software | Secure Software Development | Secure Software Development Lifecycle | Security Compliance | Security alerting | Security monitoring | Software Development Lifecycle | Supply chain security | Threat hunting | Threat modeling | Vulnerability Assessment | “as-code”
Education
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