Security Engineer – AI Detection & Response
ZAR 780K-900K (estimate) Senior-level Full Time
Tasks
- Conduct security reviews of AI applications and platforms
- Define AI security standards and reference architectures
- Design secure AI and ML architectures
- Develop AI incident response playbooks
- Develop AI specific threat detection use cases
- Develop threat detection for prompt injection and jailbreak
- Enforce data loss prevention
- Engineer detections within SIEM XDR and EDR platforms
- Establish AI security controls across the AI lifecycle
- Implement MCP security controls
- Implement and manage security controls for AI gateways
- Implement rate limiting and API protection
- Inspect AI traffic and prompts
- Investigate AI related security incidents
- Monitor MCP activity and tool execution
- Perform AI focused threat hunting
- Perform AI threat modeling
- Perform content moderation
- Perform security assessment of MCP servers and connectors
- Perform security testing of MCP integrations
- Run AI attack simulation and validation programs
- Validate trust boundaries between agents and tools
Perks/Benefits
- N/A
Skills/Tech-stack
AI Gateways | API Protection | Access Governance | Adversarial Machine Learning | Agentic AI | Data Loss Prevention | Data exfiltration | Data loss | Detection engineering | EDR | Incident Response | Jailbreak | Language Models | Large Language Models | Loss prevention | Machine Learning | Model Context Protocol | Model Serving | Model routing | Model serving platforms | Offensive security | Prompt injection | Rate Limiting | Retrieval-Augmented Generation | SIEM | Secure deployment | Security Architecture | Threat hunting | Threat modeling | Vector Databases | XDR
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Security
Roles
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