AI and Cloud Security Engineer
Core
Senior technical owner of the AI security runtime control plane and detection fabric, building inline enforcement pipelines for multi-cloud AI environments.
Role type
Senior IC AI and Cloud Security Engineer
Builds
Inline enforcement pipeline (AI gateway → runtime data protection → intent-based enforcement) across Azure, AWS, GCP, and self-hosted environments.
Domain
AI/GenAI security and Multi-cloud security
Deliverable
production ML models | infrastructure
Required skills
API/connector engineering, SIEM/SOAR integration, LLM threat modeling (OWASP LLM Top 10, MITRE ATLAS), prompt-injection/jailbreak defense, RAG security, MCP security, CSPM/CWPP/CNAPP operations, Kubernetes security, IaC security (Terraform), KQL, PowerShell, Python
Preferred skills
Open-source AI security tooling experience, vendor proof-of-concept execution, L3 incident escalation leadership
Technologies
Azure AI Foundry, AWS Bedrock, GCP Vertex, Copilot Studio, Databricks, Terraform, Kubernetes (AKS/EKS), Entra ID, AWS IAM, GCP IAM
Responsibilities
Engineer and operate the AI runtime control plane and inline enforcement pipeline; Tune runtime policies for prompt injection, jailbreak prevention, and PII redaction; Lead L3 investigations of AI-specific attacks (prompt injection, RAG poisoning, agent hijacking); Integrate AI security telemetry into SIEM/SOC workflows; Harden gateway layer against denial-of-service attacks; Embed security into DevSecOps pipelines.
Seniority
Senior, hands-on IC