Perform security architecture review and GenAI threat modeling for GenAI and agentic AI platforms and use cases.
Identify and mitigate risks such as prompt injection, jailbreak, data leakage, model poisoning, vector or embedding attacks, and third-party model risks.
Conduct secure architecture reviews for GenAI platforms including Google Vertex AI, AgentSpace, Copilot Studio, and internal LLM services.
Define and validate security requirements aligned with OWASP LLM Top 10, OWASP Agentic Application Security, MITRE ATLAS, and internal GenAI security standards.
Review IAM models, secrets management, API security, and cloud security controls (Azure, GCP).
What's Needed?
7+ years of experience in cybersecurity, security architecture, application security, or threat modeling.
Hands-on experience conducting threat models, including for GenAI workloads.
Strong cloud security expertise in Azure, GCP, or AWS.
Experience securing LLMs, RAG pipelines, API gateways, SaaS GenAI services, or agentic systems.
Familiarity with GenAI threat mitigations such as prompt filtering, DLP, vector store protection, adversarial input detection, and model hardening