AI Solutions Engineer Intern

Bloom Energy•San Jose, CA
•Onsite

About The Position

The AI Solutions Engineer Intern will join Bloom Energy’s Services Business Intelligence team, which develops analytics, data products, AI solutions, and automation for the company’s global service organization. The team supports fleet performance, predictive maintenance, product optimization, supply chain and financial forecasting, maintenance planning, and executive reporting, collaborating across engineering, operations, data engineering, product management, and data science. During the summer internship, the intern will have a primary project and may also contribute to additional projects. The anticipated project is to help design and develop an enterprise AI solution that enables employees to find information, answer operational questions, and complete workflows using company data and knowledge sources. Work may involve agentic AI, retrieval-augmented generation, enterprise search, API integration, prompt and workflow design, and solution evaluation. The intern will collaborate with business and technical teams to develop a secure, source-grounded prototype and assess its accuracy, usability, and business value. The internship starts in May or June and is fully on-site at the listed office location.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Information Systems, or a related field.
  • Must be graduating between spring 2027 and summer 2028.

Nice To Haves

  • Proficiency in Python or another modern programming language.
  • Experience developing applications, APIs, or data-driven software.
  • Familiarity with generative AI, large language models, or retrieval-augmented generation.
  • Familiarity with databases, cloud platforms, Git, and REST APIs.
  • Interest in agentic AI, enterprise search, and workflow automation.
  • Strong problem-solving, communication, and collaboration skills.

Responsibilities

  • Develop AI-powered applications using enterprise data and knowledge sources.
  • Build and test agentic AI, retrieval, search, and workflow capabilities.
  • Integrate AI solutions with APIs, databases, and business applications.
  • Evaluate solution accuracy, source grounding, performance, and usability.
  • Document the solution and present results to technical and business stakeholders.
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