Job description

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. About Our Summer Internship Program Our Summer Internship Program is designed for students entering their final year of university who are eager to gain meaningful, real-world experience in a fast paced, collaborative, and professional environment. As a Summer Intern, you'll participate in a comprehensive onboarding experience led by our University Relations team to set you up for success from day one. Throughout the program, you'll also have the opportunity to participate in weekly professional development sessions, networking events, social activities, and other engaging experienced designed to support your personal and professional growth. The program takes place from May – August 2027. Your Role As AI Engineering Intern for our Competitive Intelligence team, you will help the Competitive Intelligence team members design, develop, test, fine-tune, and manage AI chatbots, agents, and apps that help make the team’s processes more automated, scalable, and intelligent. These AI tools will help the team: Scale and accelerate market and competitive research Accelerate competitive data analysis Analyze and distribute competitive news with the appropriate stakeholders Predict competitors’ next strategic moves Automate the creation and upkeep of competitive Sales resources Challenge our competitive resources to strengthen them before sharing them with users Deliver contextual competitive insight to Sales teams at the right time and in the right format Further automate the Competitive Intelligence helpdesk responses This internship is not observational. As our AI Engineering Intern, you will design, build, and ship working AI-powered tools that will benefit 3,500+ Sales Representatives, support global Marketing campaigns, help refine key product roadmap decisions, keep our leadership informed of strategic market motions, and more. We will keep using your deliverables after the internship completion. You will also help us fine-tune existing AI tools. By the end of your internship, you will have: Delivered at least 1 functioning resource creation agent Delivered 1 functioning resource challenging agent Increased the Sales support AI agent’s response accuracy over 95% Helped implement our Competitive Intelligence helpdesk v2 Designed the AI-powered technical comparison table builder v2 Delivered 1-2 other functioning projects that we defined together Documented how to maintain the deliverables you delivered In this role, you will work with our Competitive Intelligence team members, as well as key Competitive Intelligence stakeholders who use our competitive AI tools and competitive resources (Sales Representatives, Product Managers, Product Marketers, …). Qualifications Practical experience with Anthropic Claude Chat bots, Cowork projects, Code projects, and Design projects — not just coursework but actual hands-on Claude experience Working knowledge of agentic/tool use patterns (function calling, RAG, basic orchestration) — doesn't need to be an expert, but shouldn't be learning what an agent is on day one Exposure to evaluating LLM output quality — building a test set, scoring responses, and determining whether a prompt change helped Exposure to version control basics, so work is recoverable and reviewable Python proficiency; comfortable with API integration, data parsing, and basic pipeline construction SQL exposure; able to read and modify a trivial transformation query Ability to work with ambiguous, evolving requirements and iterate quickly on a 10-week clock — this is not a spec-handed-to-you internship Comfortable interviewing subject-matter experts (analysts) to reverse-engineer a workflow before automating it Rising Junior or Senior pursuing a Bachelor’s degree or a graduate student in an accredited college or university in AI engineering, Computer Science, Data Science, Information Systems, or related field Excellent written, verbal and communication skills Willingness to learn about technology Proficiency in Windows and Microsoft Office. Ability to work independently with limited direction in a fast-paced environment; must be a high-energy, motivated self-starter Understanding and operating within the team's competitive intelligence ethics policy (code of ethics to be shared during interviews) Benefits As a paid intern at Veeam, you’ll receive: Paid Company Holidays during your internship Tech Stipend to help set up your workspace 8 Hours of Paid Volunteer Time through our Veeam Cares Program Personal and Professional Development through our Internship Program We’re committed to providing a supportive and rewarding internship experience. The pay range posted is an hourly rate of base 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 Intern Pay Range $20 - $25 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. Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice , which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.

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About Our Summer Internship Program
Our Summer Internship Program is designed for students entering their final year of university who are eager to gain meaningful, real-world experience in a fast paced, collaborative, and professional environment.
The program takes place from May – August 2027.
Scale and accelerate market and competitive research
Accelerate competitive data analysis
Analyze and distribute competitive news with the appropriate stakeholders
Predict competitors’ next strategic moves
Automate the creation and upkeep of competitive Sales resources
Challenge our competitive resources to strengthen them before sharing them with users
Deliver contextual competitive insight to Sales teams at the right time and in the right format
Further automate the Competitive Intelligence helpdesk responses
By the end of your internship, you will have:
Delivered at least 1 functioning resource creation agent
Delivered 1 functioning resource challenging agent
Increased the Sales support AI agent’s response accuracy over 95%
Helped implement our Competitive Intelligence helpdesk v2
Designed the AI-powered technical comparison table builder v2
Delivered 1-2 other functioning projects that we defined together
Documented how to maintain the deliverables you delivered
Practical experience with Anthropic Claude Chat bots, Cowork projects, Code projects, and Design projects — not just coursework but actual hands-on Claude experience
Working knowledge of agentic/tool use patterns (function calling, RAG, basic orchestration) — doesn't need to be an expert, but shouldn't be learning what an agent is on day one
Exposure to evaluating LLM output quality — building a test set, scoring responses, and determining whether a prompt change helped
Exposure to version control basics, so work is recoverable and reviewable
Python proficiency; comfortable with API integration, data parsing, and basic pipeline construction

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Professional Development