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. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands. The future of data resilience is here - go fearlessly forward with us.
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:
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.
Veeam offers benefits that support your whole self:
Unlimited paid time off, plus 3 global VeeaMe Days for self-care
Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
Medical, dental, and vision coverage from day one
Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
401(k) retirement plan with matching contributions up to annual limits
Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
AirVet: 24/7 virtual veterinary care at no cost
Legal services, identity protection, and supplemental health insurance options
Tax-advantaged spending accounts for healthcare, dependent care, and commuting
Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, 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.L
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I-Remote #LI-KThe 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$172,400—$320,100 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.
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By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.