AI Intern

Horizon Farm Credit
Bel Air, Maryland, United StatesPosted Sep 11, 2026
Summer 2027

About the role

Horizon Farm Credit is seeking a full-time AI Intern for the summer of 2027 in either our Bel Air, MD, or Mechanicsburg, PA, branch location. To view locations, visit Locations | Horizon Farm Credit [https://www.horizonfc.com/locations]. May be flexible for alternative locations. The selected candidate will participate in a paid 10–12-week internship. Summer Intern hours are typically Monday to Friday from 8:00 a.m. – 4:30 p.m. The internship program is scheduled to run from mid-May through early August 2026. Interested candidates should submit a resume, cover letter, and unofficial transcript through the application link by October 30. Position Overview As an AI Intern at Horizon Farm Credit, you will work alongside our Business Intelligence team to design, build, and deploy generative AI solutions that address real business challenges across the organization. This internship provides hands-on experience developing AI applications using on-premises computing infrastructure, open-weight large language models (LLMs), retrieval-augmented generation (RAG), and modern machine learning development practices. The selected candidate will contribute to the development of a production-ready AI application from concept to implementation, including model evaluation, prompt engineering, data preparation, application development, testing, and deployment. This role offers a unique opportunity to gain practical experience with enterprise AI technologies while helping Horizon responsibly expand the use of artificial intelligence to improve employee productivity and business outcomes. Areas of Responsibilities

  • Facilitating stakeholder meetings, workshops, and training sessions to define

project objectives and uncover AI use cases.

  • Test new AI technologies and recommend practical applications for the firm.
  • Research, evaluate, and implement AI tools across the organization.
  • Collaborate with stakeholders to assess the feasibility of AI initiatives,

guiding prioritizat