AI Business Analyst Intern

Vylor
Des Moines, Iowa, United StatesPosted Sep 8, 2026

About the role

Join Vylor—Powering the Future of Agriculture​ At Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer®, Brevant®, and Hoegemeyer®, delivering performance farmers rely on.​ Join us to help scale innovation globally and shape what’s next in crop science. Vylor has an exciting opportunity for an AI Business Analyst Intern to join our Innovation & Operations Management team based, based in Johnston, Iowa to apply analytical and problem-solving skills in a dynamic, real-world business environment. Do you enjoy analyzing data, identifying trends, and recommending solutions? This is a hybrid role that blends traditional business analysis with hands-on AI development. You'll partner with the team to identify process pain points and then build AI-powered solutions to address them, designing intelligent agents and automated workflows that go well beyond off-the-shelf chatbots. From day one, you will be assigned projects focused on analyzing business processes, gathering requirements, and supporting data-driven decision-making to solve real-life problems. This role is for someone who can build with AI, not just use a chat interface. If you've created AI agents, automated multi-step tasks, or wired LLMs into real workflows, we want to hear from you.

What You'll Do

Document existing workflows, gather requirements from stakeholders, map processes Build and test AI agents and automated workflows; design and refine prompts; chain LLM calls Develop proof-of-concept solutions, demo them to stakeholders, and iterate rapidly Prepare, clean, and structure data for AI inputs; connect solutions to internal data Document what you build, train end users, and capture lessons learned for the broader team

What Skills You Need

Foundational programming skills, ideally Python Familiarity with LLM APIs (e.g

Similar internships