About The Position

The AI Capabilities Intern – AI Architecture, Enablement & Tools will join the AI Capabilities & Governance team within Zoetis Tech & Digital (ZTD). The team manages the company’s enterprise generative AI platform and evaluates, enables, and scales new AI tools across Zoetis. The intern will gain hands-on experience helping business users apply generative and agentic AI, supporting measurement of AI value and cost, evaluating emerging AI tools, and documenting AI architecture and integration patterns. The internship offers exposure to how a global animal health company evaluates, implements, and responsibly scales enterprise AI capabilities. The role is based in Kalamazoo, Michigan; Parsippany, New Jersey; or remotely within the U.S. Preference is for candidates located in the U.S. Eastern Time Zone. This is a full-time internship.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Computer Engineering, Software Engineering, or a related field.
  • Strong interest in generative AI and agentic AI, including Large Language Models (LLMs) and AI agents.
  • Strong analytical, writing, and communication skills, with the ability to explain technical concepts clearly to non-technical audiences.
  • Demonstrated curiosity, self-direction, and interest in responsible AI practices and AI governance.
  • Must possess or obtain authorization to work in the U.S. for Zoetis.

Nice To Haves

  • Experience using AI assistants, AI coding tools, or similar technologies.
  • Familiarity with cloud platforms such as Microsoft Azure or AWS, APIs, or Python.

Responsibilities

  • Partner with business users to identify, document, and implement AI use cases within the enterprise generative AI platform.
  • Support the AI platform team with value measurement, reporting, usage analysis, and tokenomics.
  • Identify opportunities for new AI tools, evaluate potential solutions, and participate in testing and assessment activities.
  • Assist with documenting reference architectures and integration patterns for AI platforms and tools.
  • Support preparation of updates and materials for leadership forums, including the AI Council.
  • Develop and present a final internship project to the team.
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