AI CAPABILITIES INTERN – AI ARCHITECTURE, ENABLEMENT & TOOLS

Role overview Help enable the adoption and responsible scaling of generative and agentic AI across an enterprise. Working with business users and an AI platform team, you’ll contribute to use case implementation, platform evaluation, value and cost measurement, and documentation of technical patterns.

Responsibilities - Work with business users to identify, document, and implement use cases on an enterprise generative AI platform. - Support usage analysis, reporting, and measurement of AI value and costs, including token consumption. - Research emerging AI tools, identify potential opportunities, and assist with testing and solution assessments. - Document reference architectures and integration patterns for AI platforms and tools. - Prepare materials and updates for leadership discussions. - Develop and present a final internship project to the team.

Requirements - Currently pursuing a bachelor’s or master’s degree in computer science, data science, information systems, engineering, or a related field. - Strong interest in generative AI, large language models, and AI agents. - Strong analytical, writing, and communication skills, including explaining technical concepts to nontechnical audiences. - Curiosity, self-direction, and interest in responsible AI and governance.

Nice to have - Experience with AI assistants, coding tools, or similar technologies. - Familiarity with Azure or AWS, APIs, or Python.

Benefits and work setup The internship is listed for U.S. remote work or locations in Michigan and New Jersey, with preference for candidates in the Eastern time zone. Hourly pay varies by degree level and, in certain listed locations, is higher; the source gives a range of $16–$40.30 per hour.