About Veeam Software
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.
As an AI Engineer on the Veeam Data Cloud Intelligence team, you'll design and manage innovative systems that enable Veeam's customers to extract meaningful insights from their enterprise data, securely stored within the VDC.
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 best practices, rapidly iterate on prototypes, and then productize your work so as to have a clear impact 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 help invent and define them.
- The Data is Real—and Huge: You'll 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, Not Just Models: You’ll be building 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:
- Build and operate AI-powered services that summarize document content, extract keywords, and generate vector embeddings from backed-up data using cutting-edge services
- Design secure interfaces for AI agents to query backup data via Model Context Protocol (MCP), enforcing tenant-aware RBAC and query constraints
- Own and optimize prompt engineering and evaluation workflows for our LLM-based assistant, Veeam Intelligence
- Help define and improve our AI quality benchmarks—whether for retrieval relevance, summarization accuracy, or agent response reliability
- Collaborate across the stack and across the VDC engineering organization to ensure AI workflows are deeply integrated and consistently performant
- Tune AI workflows for performance, cost, latency, and observability—especially important when working with billions of documents across global regions
What we expect from you:
- Strong backend engineering skills in Python and modern AI tooling (e.g., OpenAI APIs, LangChain, transformers, Azure ML)
- Experience working with embeddings, LLMs, or AI-based summarization/extraction pipelines in production environments
- Experience with prompt engineering and prompt tuning, including strategies to improve output quality, reduce hallucinations, and support structured responses
- Awareness of jailbreaking techniques and adversarial prompts; ability to think like an attacker to proactively harden LLM-powered workflows
- Exposure to agent architectures (e.g., Model Context Protocol, Agent to Agent)
- Security-first mindset—comfortable building systems with RBAC, data boundary enforcement, and operational safeguards against misuse
- Proactive in staying current with industry trends in LLMs, search, and AI infrastructure, and able to synthesize and share relevant developments with the team
- Practical knowledge of cloud-based infrastructure, preferably in Azure (Event Bus Services, Blob Storage, Kubernetes, CosmosDB, Azure Open AI Service)
- Strong written and verbal communication (English). Ability to collaborate with team members, flesh out solutions to ambiguous problems, and drive consensus
Will be an advantage:
- Familiarity with prompt evaluation frameworks or LLM observability tooling.
- Experience working with RBAC-enforced, multi-tenant systems.
We offer:
- Unlimited PTO
- Medical, dental, and vision benefits that start on day one
- Flexible spending accounts
- Life insurance and short-term and long-term disability coverage
- Family planning support benefits, along with 100% paid maternity and parental leave
- 401k match
- Veeam Care Days – additional 24 hours for your volunteering activities
- Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (Percipio, Athena, O’Reilly) and mentoring through our MentorLab program
Please Note: If the applicant is permanently located outside of the United States Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in the United States.
#LI-Remote #LI-KC1
The salary range posted is On Target Earnings (OTE), which is inclusive of base and variable pay. When making an offer of employment, Veeam will take into consideration the candidate’s expectations, experience, education, scope of responsibility for the role, and the current market demands.
United States of America Pay Range
$168,100—$240,100 USD
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
