AI Acceleration Intern - AI Development Lifecycle

Role overview

Help move AI ideas from early evaluation through proof of concept and pilot, while learning how enterprise AI projects are assessed, developed, and prepared for production. You’ll support both hands-on pilot work and the processes, metrics, and guidance that help teams deliver AI responsibly.

Responsibilities

- Coordinate pilot and proof-of-concept milestones, collect user feedback, and summarize outcomes and lessons. - Help develop lifecycle guidance, templates, and playbooks for ideas, proofs of concept, pilots, and production work. - Review the AI use-case pipeline and track measures such as stage health, cycle time, and throughput. - Research AI tools and platforms and contribute to use-case value assessments and business cases. - Prepare updates 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 practices or Agile methods. - Strong analytical, writing, and communication skills, including the ability to explain technical concepts to varied audiences. - Interest in responsible AI, governance, and scaling AI solutions in an organization.

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

- U.S. remote internship, with preference for candidates on the East Coast or near the organization’s New Jersey headquarters. - Hourly pay varies by degree level and location. Published base rates range from $16 to $36 per hour, with higher listed ranges in certain states and metropolitan areas.