AI Architect (AI for Security)
Tasks
- Architect runtime anomaly detection systems
- Benchmark and compare local and frontier models
- Create architecture roadmaps and executive presentations
- Design LLM powered exploitation agents
- Develop proof of concept security solutions
- Ensure AI data workflow compliance with regulated constraints
- Evaluate AI security pipelines with security engineers
- Identify attack patterns and extract signals
- Implement automated threat response and containment
- Optimize AI security workflow performance and cost
Perks/Benefits
- CISO Level Stakeholder Exposure
- FTE Flexibility
- Flexible work schedule
- Remote-first work model
- Research-driven environment
Skills/Tech-stack
AWS | Agentic AI | Anomaly Detection | Automated response | Benchmarking | CVE Analysis | Execution environments | Exploit Development | Exploit chaining | Incident Response | Isolated Execution Environments | Language Models | Large Language Models | Penetration Testing | Performance Tuning | Python | Quantization | Runtime Security | Runtime security monitoring | Sandboxing | Secure execution | Security monitoring | Shell Scripting | Threat Intelligence | Vulnerability research
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Security | Security Architect
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