Hiring: Staff AI Security Engineer Company: Veeam Software Location: San Jose, CA Job Posted Time: 2026-09-11 13:54:33 Target Skills & Keywords : AWS, Azure, Azure DevOps, CI/CD, FedRAMP, Foundry, GitHub, GitHub Actions, LLM, Maven, PowerShell, Python, RBAC, SAST, SCA, SOC 2, SaaS, TypeScript About the job Experience: •10+ years across security and engineering, with recent focus on AI/ML systems in production (LLM deployments, model risk, or AI-driven security tooling) Required Skills: •Design and ship the data-handling controls (code, filters, and infrastructure guardrails) for VDC's internal AI tooling and the AI features in our product. Redact sensitive data from prompts, model context, logs, and outputs before any of it reaches a third-party model provider •Build and productionize an AI-enhanced vulnerability reduction capability that plugs into CI/CD, surfaces real defects with a low false-positive rate, and either recommends or applies remediation without eroding developer trust •Publish and evolve a self-serve secure-LLM-use pattern for other VDC engineering teams, including input filtering, output validation, provider-tier data classification, and threat-model shortcuts for teams adding AI features to their products •Threat-model internal AI tools for prompt injection, indirect prompt attack surfaces, model exfiltration, and agent-tool boundary weaknesses. Partner with the red team on findings, then build the fixes and guardrails with tool owners •Partner with Compliance to shape auditor-facing evidence for AI-assisted controls, including which evidence formats hold up when the collector was an LLM and where human review must gate disclosure •Contribute the AI-security lens to adjacent Security Engineering programs where LLMs touch the surface area: vulnerability management maturity, supply chain risk reduction, code owners routing, and compliance evidence collection •Set VDC's direction on emerging LLM security tools and internal AI-forward workflows: what to adopt, what to skip, and what to build in-house •Technologies You’ll Work With Azure OpenAI Service and other Azure AI Foundry components Compensation: •$293,100 - $544,200 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!