AI Acceleration Intern - AI Development Lifecycle

Role overview Support the lifecycle of enterprise AI initiatives, helping move promising ideas from early evaluation through proof of concept and pilot. You’ll work on project coordination, process documentation, and pipeline analysis while learning how AI solutions are assessed and scaled responsibly.

Responsibilities - Coordinate AI pilots and proofs of concept by tracking milestones, collecting user feedback, and recording outcomes and lessons learned. - Help develop lifecycle standards, templates, and playbooks for idea review, proof of concept, pilot, and production stages. - Review the AI use case pipeline and report on stage health, cycle times, throughput, and other acceleration measures. - Research AI tools and platforms and contribute to early use case evaluations, value assessments, and business cases. - Prepare updates and presentation materials for leadership discussions, and deliver a final internship project.

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 software development lifecycle or Agile practices. - Strong analytical, writing, and communication skills, including the ability to explain technical ideas to varied audiences. - Interest in responsible AI, AI governance, and enterprise AI development.

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 - Internship with a U.S. remote arrangement; preference is given to candidates on the East Coast or near the listed New Jersey headquarters. - Hourly pay varies by degree level and location. The source lists rates from $16 to $36 per hour generally, and $17 to $40.30 per hour in certain higher-rate locations.