AI Intern, Veeam Data Cloud - Summer 2026

Veeam Software

1d•$40 - $50

About The Position

Veeam Data Cloud (VDC) is a software as a service (SaaS) offering for backup and 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. As a Summer Intern on our VDC AI team, you will work alongside a collaborative group of AI engineers who are passionate about building secure, scalable, and meaningful AI solutions for global-scale data systems. You’ll take ownership of impactful projects, contributing code, ideas, and experiments to real features used by large enterprise customers. Throughout your internship, you’ll learn and apply the latest advancements in artificial intelligence and machine learning—including LLMs, embeddings, and prompt engineering—while gaining practical experience with cloud infrastructure and production-grade workflows. You’ll help define and measure what “quality” means for AI in the real world by running experiments to benchmark and improve system performance, relevance, and security. Sharing your insights and results with a supportive team that values transparency, curiosity, and continuous learning, you’ll also join cross-functional meetings and collaborate with other teams to understand how your work advances data security and resilience at scale. You’ll be part of a team that values autonomy, growth, and diverse perspectives—making a genuine impact on Veeam’s next-generation AI platform.

Requirements

Currently pursuing a Master’s degree or PhD in Computer Science, Information Technology, Engineering, or a related field.
Strong problem-solving and analytical skills.
Excellent written, verbal, and presentation skills.
A keen interest in technology and its applications in business solutions.
Ability to work independently in a dynamic, fast-paced environment; high-energy, motivated self-starter.
Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa now or in the future.

Nice To Haves

Proficiency in Windows, Microsoft Office, and familiarity with cloud technologies (AWS, Azure, or similar) is a plus.

Responsibilities

Collaborate with experienced AI engineers to build and test features that use AI to summarize, extract, and analyze data from global-scale backup systems.
Assist in developing, evaluating, and improving AI-powered workflows (e.g., document summarization, keyword extraction, vector search).
Participate in designing secure, tenant-aware interfaces for querying enterprise data using modern AI methodologies.
Help define and run experiments to benchmark AI system quality (e.g., relevance, accuracy, reliability).
Contribute to prompt engineering and evaluation for LLM-based assistants and tools.
Document your work and share your findings with the team, supporting a culture of transparency and continuous learning.
Join regular team meetings and cross-functional collaborations to see how your work fits into the bigger picture.