AI & Data Security Engineer
Tasks
- Conduct exposure and risk analysis
- Configure logging monitoring and audit readiness
- Define AI security strategy
- Define SLAs and performance expectations
- Design AI security guardrails
- Enforce data access sharing retention encryption and key management
- Ensure quality of findings and remediation timeliness
- Implement data leakage prevention controls
- Implement data security posture management
- Implement role based access least privilege
- Integrate sensitivity labeling with DLP
- Lead managed service provider governance
- Operate data loss prevention controls
- Perform AI risk assessments
- Perform data discovery and classification
- Tune security tooling and enhance automation
- Validate controls and identify gaps
Perks/Benefits
Skills/Tech-stack
AI Foundry | API Security | Access Control | Access Management | Adversarial Attacks | Audit Readiness | Azure AI | Azure AI Foundry | Azure OpenAI | CCPA | Cloud Security | Data Classification | Data Loss Prevention | Data Security | Data Security Posture Management | Data discovery | Data loss | Encryption | GCP Vertex | GCP Vertex AI | GDPR | Identity and Access Management | Identity and access | Key Management | Least Privilege | Logging | Loss prevention | Microsoft Copilot | Microsoft Purview | Monitoring | OWASP Top | OWASP Top 10 | Posture Management | Prompt injection | Risk Assessment | Role-Based Access | Role-Based Access Control | SaaS security | Security Architecture | Security posture management | Top 10 | Vertex AI
Education
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