AI Security Engineer
Tasks
- Apply least privilege and scope limiting for agent workflows
- Define AI security architecture and guardrails
- Define logging monitoring and detection for AI systems
- Design security controls for AI applications and agents
- Embed security testing for AI development and deployment
- Implement Microsoft Purview data security controls
- Implement identity authentication and authorization for AI agents
- Perform AI threat modeling and mitigate risks
- Secure enterprise data usage in RAG pipelines and AI workflows
- Support incident response for AI security events
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Security | AI Services | API Security | Access Management | Application design | Authentication | Authorization | Azure | Azure AI | Azure AI Foundry | Azure AI Services | Cloud Security | Copilot Studio | DLP | Data Classification | Data Governance | Data Loss Prevention | Data loss | Embeddings | Identity and Access Management | Identity and access | Incident Response | Information Protection | Insider Risk | Insider Risk Management | Least Privilege | Logging | Loss prevention | MCP | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Purview | Monitoring | Powershell | Python | RAG | Risk Management | SaaS security | Secure Application Design | Secure application | Security Testing | Sensitivity Labels | Threat modeling | Vector Database
Education
N/A
Roles
Regions
Countries
States
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