About the Role
SupplyHouse.com is seeking an AI Enablement Intern for a 10-week Co-Op program. This intern will collaborate with various departments across the organization to identify, test, and prototype practical applications of AI to solve real business problems. This is a remote position open to individuals residing in or willing to relocate to Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. While travel to the Melville, NY headquarters is not required, on-site work is welcome.
The schedule for this role is Monday through Friday, 8:00 a.m. to 5:00 p.m. ET.
Responsibilities
- Learn how teams across the business work (Customer Service, Operations, Merchandising, Marketing, Product, etc.) and identify high-impact opportunities where AI can help.
- Partner with stakeholders to define problems clearly, map workflows, and estimate potential value and effort.
- Research and evaluate AI tools and approaches (LLMs, copilots, workflow automation, search/RAG, lightweight agents) for business use cases.
- Build and test small prototypes or proofs of concept (e.g., prompt workflows, chat-based assistants, automation scripts, internal knowledge helpers).
- Create clear documentation and playbooks so others can reuse what you build (prompt guides, best practices, example workflows).
- Help run simple enablement activities like demos, office hours, training sessions, and collecting feedback.
- Track results and learnings, including what worked, what did not, and recommendations for next steps.
- Follow responsible AI practices, including data privacy, security, and quality standards.
Requirements
- Currently pursuing a Bachelor’s degree as a rising Junior or Senior (graduating in 2027 or 2028), pursuing a Master’s degree, or an upcoming graduate (May 2026).
- Interest in AI and curiosity about how it can be applied to improve real workflows.
- Comfortable learning new tools quickly and experimenting in a structured way.
- Strong communication skills, including the ability to explain technical concepts in plain language.
- Organized and self-directed, with attention to detail and follow-through.
- Analytical mindset, able to break down problems and propose practical solutions.
Preferred Qualifications
- Prior hands-on experience leveraging AI through an internship, co-op, research project, academic lab, or similar environment.
- Experience with Python, SQL, JavaScript, or automation tools (Zapier, Make, Apps Script, etc.).
- Familiarity with LLMs and prompt design, including evaluating output quality.
- Experience building lightweight prototypes (spreadsheets, dashboards, scripts, basic apps).
- Interest in product thinking, process improvement, and change management.
What you’ll gain
- Hands-on experience applying AI to real business problems, from discovery to prototype.
- Mentorship from Product and cross-functional partners.
- A portfolio of experiments and prototypes you can talk about in future interviews.