Security Engineer – AIDR
ZAR 780K-900K (estimate) Senior-level Full Time
Tasks
- Assess security of MCP servers and connectors
- Conduct security reviews of AI applications and platforms
- Create monitoring strategies for AI environments
- Define AI security standards and reference architectures
- Design secure AI and ML architectures
- Design secure MCP deployment patterns
- Develop AI incident response playbooks
- Develop AI specific threat detection use cases
- Develop detections for data exfiltration and model abuse
- Develop detections for prompt injection and jailbreak attempts
- Develop security controls for MCP ecosystems
- Enforce access governance
- Engineer detections within SIEM
- Establish AI attack simulation and validation programs
- Establish AI security controls across the AI lifecycle
- Filter prompts and content
- Implement and manage security controls for AI gateways
- Implement content moderation
- Implement data loss prevention
- Implement model routing controls
- Inspect AI traffic
- Investigate AI related security incidents
- Monitor MCP activity and tool execution
- Perform AI focused threat hunting
- Perform AI threat modeling
- Perform security reviews of MCP architecture
- Protect APIs
- Secure agentic AI systems and autonomous workflows
- Set rate limiting
- Test security of MCP integrations
- Validate trust boundaries between agents and tools
Perks/Benefits
- N/A
Skills/Tech-stack
AI Security | AI gateway | API Protection | Access Governance | Agentic AI | Content Moderation | Data Loss Prevention | Data loss | Detection engineering | EDR | Incident Response | Jailbreak detection | Language Models | Large Language Models | Loss prevention | Machine Learning | Model Context Protocol | Model Serving | Offensive security | Prompt injection | RAG | Rate Limiting | Retrieval-Augmented Generation | SIEM | Security Architecture | Security Reviews | Threat hunting | Threat modeling | Vector Databases | XDR
Education
Roles
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