2027 Summer Intern, Artificial Intelligence Product Management

Zimmer, Inc.•Remote, Remote

3d•Onsite

About The Position

Join the Artificial Intelligence Product Management team at Zimmer Biomet for a Summer 2027 internship. This role offers hands-on experience in building AI products within a regulated life sciences environment. You will gain exposure to modern AI engineering, AI product development, and AI enablement. Working alongside Product Managers, you will report to the Manager of AI Solutions and contribute to production systems serving various business domains across Zimmer Biomet. The primary focus of this internship is to lead the development of an internal AI Product.

Requirements

Must be actively enrolled in an academic program for the entire duration of the assignment.
Bachelor's or Master's program in databases, cloud computing, or software engineering.
Junior or Senior standing in a technical degree program.
Must be available to work full-time (40 hours/week) throughout the co-op session.
Must be authorized to work in the U.S. without requiring employer sponsorship.
Pursuing a degree in Computer Science, Data Science, Information Systems, or a related field.
Familiarity with Python and SQL (coursework or projects).
Familiarity with AI and machine learning.
Strong written communication skills and comfort with documentation.
Self-starter who can take ownership of a project and drive it forward with guidance.

Nice To Haves

Interest in cloud AI products, data platforms, data engineering, or data product development.
Familiarity with Streamlit, Flask, or similar Python web frameworks is a plus but not required.

Responsibilities

Lead the product management of an AI Product.
Contribute to AI Product workflows, including provisioning, setup, configuration and deployment using infrastructure as code (Pulumi).
Assist with platform observability, including building UIs and reports supporting the core AI Product.
AI agent enablement work, including semantic view definition, AI Agent configuration, and testing AI capabilities in real company workflows.
Write and maintain product documentation, knowledge base articles, and operational runbooks that enable domain teams to work with the product independently.
Participate in architecture discussions and team planning, gaining exposure to how product decisions are made in a regulated enterprise environment.
Learn and apply Artificial Intelligence principles including domain ownership, governance, and product lifecycle management.