Supply Chain Applied AI Engineering Intern

Motorola Solutions•Chicago, IL

About The Position

As a Supply Chain Applied AI Engineering Intern, you will embed directly with our engineering team to help build the future of intelligent supply chain operations. Tailored for students currently pursuing their Bachelor's degree, this internship offers hands-on experience developing practical AI applications. You will contribute to high-impact projects, specifically focusing on advancing our conversational AI interfaces and assisting in the development of autonomous AI agents. Under the mentorship of senior engineers, you will gain real-world experience turning operational challenges into AI-driven solutions.

Requirements

Currently enrolled in a Bachelor’s degree program in Computer Science, Data Science, Software Engineering, or a related technical field with a graduation date no late then Dec. 2030.
Proficient in Python through coursework or personal projects, with a basic understanding of data manipulation (e.g., Pandas, dictionaries, lists).
Foundational knowledge of SQL and how to query relational databases.
A proactive, curious mindset with a willingness to learn new frameworks quickly and tackle open-ended problems.

Nice To Haves

Experience tinkering with LLM APIs (like OpenAI) or a basic understanding of prompt engineering.
Familiarity with code versioning (Git/GitHub) and working in IDEs like VS Code or Jupyter Notebooks.
An interest in understanding how global logistics, inventory, and operations function.
A strong, demonstrated interest in artificial intelligence, machine learning, or Natural Language Processing (NLP) via academic coursework, hackathons, or personal portfolio projects.
Rising Junior or Senior preferred

Responsibilities

Assist in building, testing, and refining Large Language Model (LLM) tools (such as chatbots and RAG systems) that allow supply chain teams to query complex data using natural language.
Help prototype and experiment with AI agents designed to automate specific supply chain tasks and workflows.
Use Python and SQL to extract, clean, and format operational data, ensuring our AI models and LLMs have access to high-quality information.
Participate in daily stand-ups, code reviews, and brainstorming sessions, learning modern software engineering and AI deployment best practices.
End your internship by presenting your project outcomes and technical learnings to team leadership and key stakeholders.