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Supplyhousevia Greenhouse

AI Enablement Intern

REMOTEPosted 1d ago
OtherEntry LevelFull-time

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About the Role

Real people. Real service.

At SupplyHouse.com, we value every individual team member and cultivate a community where people come first. Led by our core values of Generosity, Respect, Innovation, Teamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers.

We are looking for an AI Enablement Intern to join our team for a 10-week Co-Op program. This intern will work with one of several different departments across the organization and focus on identifying, testing, and prototyping practical ways to apply AI to real business problems. If you’re passionate about AI, enjoy turning ambiguity into clear next steps, and want hands-on experience bringing AI solutions to life, we’d love to hear from you. 

This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This opportunity does not require travel, including to our headquarters in Melville, NY, however you’re welcome to work on-site anytime – our doors are always open. 

Role Type: Co-Op Intern 

Location: Remote  

Length of Program: June 15th – August 21st (10 weeks) 

Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. ET 

Pay: $27.60 per hour 

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, automat
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