Staff AI Security Engineer
Core
Design and ship data-handling controls, filters, and infrastructure guardrails for Veeam's multi-cloud SaaS platform to secure AI/LLM usage defensively and offensively.
Role type
Staff AI Security Engineer (LLM Security & Platform Security)
Builds
AI-enhanced vulnerability reduction tools, secure-LLM-use patterns, and data-handling controls for Azure/AWS SaaS
Domain
Cloud Security (Azure/AWS) + AI/LLM Security
Deliverable
production ML models | product features
Required skills
LLM security (prompt injection, model exfiltration, indirect attacks), AI/ML systems in production, cloud security (RBAC, secret management), detection system tuning (PII/secrets), Python, Go, CI/CD integration, regulated-industry compliance (SOC 2, ISO 27001, FedRAMP)
Preferred skills
LLM attack techniques, traditional AppSec/SAST, open-source LLM safety contributions, Azure OpenAI enterprise controls, developer workflow integration
Technologies
Azure OpenAI Service, Anthropic Claude, OpenAI, Microsoft Presidio, Cycode, Wiz, GitHub Actions, Azure DevOps, Microsoft Sentinel, Log Analytics
Responsibilities
Design data-handling controls for internal AI tooling and product features; Build AI-enhanced vulnerability reduction capabilities for CI/CD; Publish self-serve secure-LLM-use patterns; Threat-model internal AI tools and partner with red teams; Partner with Compliance on auditor-facing evidence; Contribute AI-security lens to adjacent security programs; Set direction on emerging LLM security tools
Seniority
Staff, hands-on IC with strategic direction
