AI Application Security Engineer

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. ​ Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running.

Veeam Data Cloud (VDC) is a software as a service (SaaS) offering backup recovery and data resiliency. Our VDC Intelligence team is building a next-generation AI and data platform that sits at the heart of cloud-native backup infrastructure—where intelligence meets exabyte-scale datasets. 

We are looking for an AI Application Security Engineer to join our growing team of experts for our SaaS platform and work closely with our VDC Intelligence team. The SaaS solutions we develop and offer to our customers are built on Microsoft Azure offering best-in-class Data Protection services.    

As an AI Application Security Engineer in the Veeam Data Cloud org, you'll design and own the security threat model for our VDC Intelligence team.  We’re building production systems that help to discover and understand data so as to make organizations more resilient. You’ll be asked to investigate and share AI security best practices, working closely with our AI engineers to deliver secure products across multiple Veeam services. 

Why This Role Is Unique 

• Greenfield Opportunity: Many of our workflows, including secure semantic discovery at scale, are industry firsts. You’ll be a part of the team, inventing and defining and securing them from day 1.
• The Data is Real—and Huge: We work with exabyte-scale backup data from some of the world’s largest enterprises. It’s heterogeneous, richly structured, multilingual, and full of opportunities for insight.  
• Production AI, Securely: You’ll be helping to secure end-to-end, customer-facing capabilities—not just research prototypes. These systems will be measured in uptime, relevance, and ROI. 

Your tasks will include: 

You won’t be responsible for all of these at once—but you should be excited to jump into any of them: 

• Integrate security throughout all steps of the SDLC 
• Keep an eye out for zero-day exploits/attack vectors in the AI space, red-team our products, own the security threat model for VDC Intelligence  
• Help define and accelerate AI security review processes  
• Automation of the deployments, and maintenance of a SaaS Application Security program and platform  
• Continuous evaluation and improvement of the reliability, security and compliance of our systems and code  
• Proactively meet standards for information security and compliance, such as FedRAMP, ISO (International Standards Organization), SOX (Sarbanes Oxley), SSAE (Standards for Attestation Engagements) 16, etc.   
• Shepherd the definition, documentation, and improvement of our internal standards security and resiliency 

What we expect from you: 

• Exposure to LLMs, or AI-based summarization/extraction pipelines in production environments 
• Experience with Security and Compliance Native and Off-the-Shelf toolsets (Sentinel, SAST, DAST, CNAPP and Cloud Security PaaS tools) 
• Experience with implementation, maintenance, and support of CI/CD practices and tools (Azure DevOps, GitHub Actions or similar)  

Will be an advantage: 

• Significant experience implementing secure design principles within a modern SDLC framework, directly supporting the security and compliance of En