AI Security Engineer
Tasks
- Apply least privilege access controls
- Configure data loss prevention and sensitivity labels
- Contribute to multi platform data protection strategies
- Define AI logging monitoring and detection requirements
- Define AI security guardrails
- Design AI security architecture
- Embed security testing for AI deployments
- Engineer AI security controls
- Implement authentication authorization for AI agents
- Implement incident observability with SecOps
- Implement secure data access for AI workflows
- Manage insider risk information protection
- Mitigate prompt injection and jailbreaks
- Optimize Microsoft Purview data classification
- Perform AI threat modeling
- Secure AI enabled SaaS applications
- Secure internal AI agents and workflows
- Secure model hosting and inference services
- Support AI incident response and post incident analysis
- Support RAG data security controls
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Security | API Design | API Security | Access Management | Application Security | Authentication | Authorization | Azure | Azure AI | Azure AI Foundry | Cloud Security | Copilot Studio | Cybersecurity | DLP | Data Security | Detection engineering | Embeddings | Fine Tuning | Identity and Access Management | Identity and access | Incident Response | Inference services | Information Protection | Insider Risk | Insider Risk Management | Jailbreak Prevention | LLM | Language Models | Large Language Models | Least Privilege | Logging | MCP | Microsoft Purview | Microsoft Purview DLP | Model Fine-tuning | Model Hosting | Model Training | Monitoring | Powershell | Prompt injection | Purview DLP | Python | RAG | Risk Management | Scripting | Secure API | Secure API Design | Sensitivity Labels | Threat modeling | Vector Database
Education
N/A
Roles
AI | AI Security Engineer | Data Security Engineer | Engineer | Security Engineer
Regions
Countries
States
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