Remote AI Development Lifecycle Intern - AI Pilot & Scale

Zoetis Inc

United States

Remote

USD 22,000 - 55,000

Part time

2 days ago

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Job summary

Zoetis Inc’s AI Hub within Zoetis Tech & Digital seeks an AI Acceleration Intern to support the AI development lifecycle from idea to production. You will help plan pilots, document standards, and track pipeline health while learning how a global animal health leader scales AI responsibly.

This internship offers hands-on exposure, collaboration with AI architects, and a final project presentation. Remote role with preference for East Coast or Parsippany, NJ, and you will gain experience across

Qualifications

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Computer Engineering, Software Engineering, Business Analytics, or a related field.
Basic understanding of artificial intelligence and machine learning concepts, including generative AI and large language models (LLMs).
Exposure to cloud or data platforms such as Microsoft Azure, AWS, or Databricks is a plus.
Familiarity with the software development lifecycle (SDLC) or Agile methodologies.
Experience with Python, SQL, Jira, or Confluence is preferred.
Strong analytical, writing, and communication skills, with the ability to explain technical concepts clearly to different audiences.
Interest in responsible AI, AI governance, and the development and scaling of enterprise AI solutions.

Responsibilities

Help plan and execute AI pilots and proofs of concept, including tracking milestones, gathering user feedback, and summarizing results and lessons learned.
Partner with the AI Architect to document and enhance AI development lifecycle standards, templates, and playbooks across the idea, proof-of-concept, pilot, and production stages.
Review the AI use case pipeline to evaluate stage health, cycle times, and throughput, and develop dashboards or reports to track key acceleration metrics.
Support the early evaluation of new AI use cases by researching AI tools and platforms and contributing to value assessments and business cases.
Assist in preparing updates and materials for leadership forums, including the AI Council.
Develop and present a final internship project to the team.