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Job Description & How to Apply Below
The role will cover AI governance, risk, compliance, and Responsible AI in practical terms—turning policy into architecture, controls, and operating processes.
You should be comfortable teaching frameworks and security thinking for RAG, LLM apps, and agentic systems , including real-world threat scenarios and mitigation strategies.
Topics may include AI risk management, secure AI architecture, prompt injection/data leakage defenses, model and pipeline security, and audit readiness .
Experience with enterprise environments (e.g., Zero Trust, identity, MLOps security, SIEM/SOAR integration) is highly valued.
Ability to explain complex concepts clearly to working professionals in a masterclass format is essential.
If you’ve worked on AI security in production and enjoy teaching, we’d love to connect.
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