Intern - AI Product Management
Micron
· Fab 10A, Singapore
Open
Internship
Posted 2026-11-12
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Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Location
Singapore, Fab 10A/W
Department
Global Procurement Center of Excellence, Digital Transformation and Artificial Intelligence
Project Title
AI Product Management: Agentic Procurement Tools and AI-Enabled Workflow Development
Project Overview
Global Procurement is introducing Agentic AI and automation to make procurement processes simpler, faster, and easier to use. This internship offers the opportunity to learn how AI-enabled products are designed, evaluated, governed, and introduced within a global enterprise.
Working alongside product managers and cross-functional partners, the intern will contribute to defined projects involving Source-to-Pay Agentic Solutions, Claude Cowork, and Microsoft Copilot Studio. The intern will examine procurement workflows, evaluate user needs and data readiness, test AI-enabled solutions, and develop practical materials that encourage responsible adoption.
The project is focused on structured learning, experimentation, analysis, and solution development. It is not a software engineering position, although the intern will collaborate with technical teams and gain exposure to AI configuration, Agent design, prompt development, and low-code automation.
Learning Objectives
Through this project, the intern will:
• Analyse procurement workflows and identify manual activities, handoffs, exceptions, and opportunities suitable for AI-enabled improvement.
• Apply product management methods to translate user needs into requirements, test scenarios, success measures, and human-in-the-loop controls.
• Design and evaluate prompts, AI Assistants, Agents, skills, or Agentic Solutions for selected procurement use cases.
• Develop an understanding of data readiness, responsible AI, solution governance, user adoption, and change management.
• Measure the effectiveness of selected solutions using indicators such as usage, output quality, cycle time, and estimated manual effort reduction.
Link to Course of Study
This project complements studies in Business Analytics, Information Systems, Computer Science, Industrial Engineering, Supply Chain Management, and related fields by applying concepts in data analysis, process design, Artificial Intelligence, and digital product management to an enterprise procurement environment.
The intern will connect academic knowledge with a defined business project involving stakeholder discovery, Agentic AI experimentation, solution evaluation, and impact measurement.
Future Pathways
This internship is a learning experience. Future career pathways at Micron may be explored through our regular hiring process.
This wording follows the future-pathways statement prescribed in the internship template.
What You Will Do and Learn
The intern will undertake a defined project within the Global Procurement Artificial Intelligence transformation portfolio. Depending on the selected use case, the intern will:
• Map a procurement workflow and examine its user needs, data inputs, business rules, exceptions, and decision points.
• Translate findings into structured product requirements, user scenarios, evaluation criteria, and potential roadmap recommendations.
• Design and test an AI-enabled prototype using tools such as Claude Cowork, Microsoft Copilot Studio, or other approved Agentic AI platforms.
• Develop learning materials, prompt guidance, or use-case documentation that helps procurement users understand how to use AI effectively and responsibly.
• Analyse user feedback and adoption indicators to identify opportunities for improving solution usability, reliability, and business value.
Project Scope
• Analyse selected procurement workflows and user feedback to identify opportunities for AI-enabled improvement.
• Design and evaluate Agentic AI solutions using tools such as Claude Cowork and Microsoft Copilot Studio.
• Develop and test an AI skill, Agent, or workflow for a defined procurement use case.
• Evaluate solution effectiveness through structured testing, user feedback, and adoption measures.
• Apply responsible AI and governance principles when documenting findings and recommendations.
Learning Opportunities
• Gain practical exposure to AI product management, including user discovery, workflow analysis, requirements definition, testing, and roadmap development.
• Learn how prompt engineering and Agentic AI workflow design are applied to enterprise procurement use cases.
• Develop experience with Claude Cowork, Microsoft Copilot Studio, low-code automation, or comparable AI-enabled tools.
• Understand how data readiness, responsible AI, governance, and human oversight influence enterprise AI deployment.
• Collaborate with stakeholders across Global Procurement, Information Technology, and technology partner teams in a global working environment.
Deliverables
By the end of the internship, the intern will complete:
• A workflow and data-readiness assessment for a selected procurement use case.
• An AI product evaluation report covering test results, user-feedback themes, identified issues, and prioritized recommendations.
• An AI enablement package containing learning materials, prompt guidance, or relevant use-case documentation.
• At least one tested AI skill, Agent, plugin, AI Assistant, or AI-enabled workflow addressing a defined procurement use case.
• A final presentation explaining the project approach, findings, learning outcomes, limitations, impact measures, and recommendations.
Impact of the Project
The p
Skills:
procurement
digital transformation
artificial intelligence
product management
agentic ai
claude
experimentation
software engineering
change management
business analytics