You will secure GenAI and agentic AI platforms through architecture reviews and threat modeling.
This role is on-site.
Responsibilities
Perform security architecture reviews for GenAI platforms including Google Vertex AI, AgentSpace, Copilot Studio, and internal LLM services.
Conduct threat modeling to identify and mitigate risks such as prompt injection, jailbreaks, data leakage, model poisoning, vector attacks, and third-party model risks.
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 across Azure and GCP.
Required Skills
7+ years of experience in cybersecurity, security architecture, application security, or threat modeling.
Hands-on experience conducting threat models for GenAI workloads and agentic systems.
Strong cloud security expertise in Azure, GCP, or AWS.
Experience securing LLMs, RAG pipelines, API gateways, and SaaS GenAI services.
Familiarity with GenAI threat mitigations including prompt filtering, DLP, vector store protection, adversarial input detection, and model hardening.
Preferred Skills
Experience with internal LLM services and AgentSpace.