AI Acceleration Intern - AI Development Lifecycle

Role overview Support the path from an AI idea to a proof of concept, pilot, or production solution as part of an enterprise AI team. This internship combines project coordination, research, process documentation, and measurement, offering practical exposure to how AI initiatives are evaluated and advanced responsibly.

Responsibilities - Help organize AI pilots and proofs of concept by tracking milestones, collecting user feedback, and summarizing results. - Document and improve lifecycle standards, templates, and playbooks for moving AI work through development stages. - Review the AI use case pipeline and assess stage health, cycle times, and throughput. - Build or update dashboards and reports that track AI initiative progress and acceleration metrics. - Research AI tools and platforms and contribute to early use case assessments and business cases. - Prepare leadership updates and complete a final project presentation for the team.

Requirements - Currently pursuing a bachelor’s or master’s degree in computer science, data science, information systems, engineering, business analytics, or a related field. - Basic understanding of AI and machine learning, including generative AI and large language models. - Familiarity with the software development lifecycle or Agile methods. - Strong analytical, writing, and communication skills, including the ability to explain technical topics clearly. - Interest in responsible AI, governance, and scaling enterprise AI solutions.

Nice to have - Exposure to cloud or data platforms such as Azure, AWS, or Databricks. - Experience with Python, SQL, Jira, or Confluence.

Benefits and work setup The internship is listed as U.S. remote, with preference for candidates on the East Coast or near the organization’s New Jersey office. Hourly pay varies by degree level and, in certain listed locations, is higher; the source gives a range of $16–$40.30 per hour.