At Advantive, interns don't spend the semester watching other people build things.
As an AI & Enterprise Systems Intern, you'll work on real business problems and build solutions using AI, automation,
data, APIs, and enterprise platforms. That could mean building an AI agent, automating a Finance workflow, connecting
systems, improving analytics, or figuring out why a business process takes twelve steps when it should take three.
You'll work alongside our Enterprise Systems & Technology team inside a high-growth, PE-backed software company
with a $250M+ ARR portfolio. You'll have access to the same platforms, problems, and opportunities our full-time team
works with.
Our interns have shipped AI agents, reusable skills, automations, and internal tools that are actively used across the
business. This isn't a program built around hypothetical projects or slide decks.
The expectation is simple: learn fast, build useful things, and ship.
What You'll Do
- Build and test AI-powered solutions, including agents, internal tools, reporting experiences, and workflow automations.
- Experiment with LLMs, agents, and AI workflows to solve real operational problems and help turn successful experiments
into tools the business can use. - Build integrations and automations using APIs and enterprise automation platforms.
- Work with data to build and improve dashboards, reporting, and business insights.
- Identify inefficient business processes and design better ways to automate, simplify, or improve them.
- Improve systems across analytics platforms, business applications, and core enterprise tools.
- Contribute to implementations, integrations, and system enhancements from idea through deployment.
- Document what you build so solutions can be supported, reused, and scaled.
- Work directly with teams across Finance, Operations, Sales, and other parts of the business to understand problems and
build practical solutions.
What We're Looking For:
- Currently pursuing a Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field
- At least a sophomore (2nd year) or higher
- Basic experience with Excel, SQL, data analysis, or similar tools
- Familiarity with any programming or scripting language (Python, JavaScript, etc.) is a plus
- Curious about AI, automation, and how enterprise systems work together
- Comfortable experimenting, learning new technology, and figuring things out when there isn't already a playbook.
- Strong communicator who can work with both technical and business teams
- Willing to take ownership and see solutions through
Nice to Have (Not Required)
You don't need to check every box. We're more interested in how you think, learn, and build.
- Coursework or personal projects involving data analytics, systems, AI, or process improvement.
- Experience with dashboards such as Power BI or Tableau.
- Exposure to automation or orchestration tools such as Power Automate, Workato, n8n, or Zapier.
- Experience with enterprise platforms such as Salesforce, NetSuite, or similar systems.
- Experience building with AI tools, LLMs, APIs, agents, or automation. •
- A project you built because you saw a problem and thought, "There has to be a better way to do this.
What You'll Gain
- Hands-on experience with enterprise systems, AI, automation, and analytics across a $250M+ ARR software portfolio.
- Experience building solutions against real business problems, with real users and real outcomes.
- Direct exposure to how AI moves from experimentation into practical enterprise use.
- Experience working with enterprise applications, APIs, data, integrations, and business processes together rather than as
separate disciplines. - Mentorship from practitioners and technology leaders across enterprise systems, data, analytics, and AI.
- The opportunity to build things that ship and become part of how the business operates.
You won't leave this internship with a folder full of hypothetical projects
You'll leave with things you built.