AI Security Engineering Manager
Tasks
- Build security APIs and services
- Define security roadmap and standards
- Design AI security platform capabilities
- Design Kubernetes security controls
- Develop automation and security tooling with Python
- Embed security into enterprise AI development
- Enable DevSecOps automation
- Implement AI endpoint runtime security
- Implement AI lifecycle security
- Implement infrastructure as code with Terraform
- Integrate AI telemetry with detection platforms
- Integrate enterprise AI security tools
- Lead and mentor AI security engineers
- Mitigate prompt injection and data leakage
- Secure AI workloads on cloud platforms
- Support SOC detection engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AI Security | API Security | AWS | Adversarial Machine Learning | Cloud Security | Cloud platform | Command Center | Cybersecurity | Data Loss Prevention | Data loss | Detection engineering | DevSecOps | Generative AI | Generative AI Security | Google Cloud | Google Cloud Platform | Google SecOps | Google Security Command Center | Google security | Infrastructure as Code | Kubernetes | LLM security | Loss prevention | Machine Learning | Microservices Security | Microsoft Azure | Model Governance | Prompt injection | Prompt injection mitigation | Python | Runtime Protection | SOC Detection Engineering | SOC detection | Security Command Center | Security telemetry | Terraform | “as-code”
Education
N/A
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