Security Architect/Engineer
Role details
Job location
Tech stack
Job description
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, Google Cloud Platform). Produce high quality threat models, architecture review reports, and mitigation recommendations. Collaborate with engineering teams to gather architecture artifacts and drive security improvements.
Requirements
8+ years 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, Google Cloud Platform, 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. Strong communication skills and ability to translate technical risks into practical guidance. Preferred Qualifications Experience in regulated industries (financial services preferred). Experience with ThreatModeler or similar tooling. Certifications such as CISSP, CCSP, GIAC, or cloud provider security certifications. Experience with Terraform, Azure/Google Cloud Platform Policies, or OPA/Rego for IaC or Client workflows.