Supply Chain Applied AI Engineering Intern

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview The Supply Chain AI & Data team drives the strategic transformation of our operations in alignment with Vision 2030. We are building the next evolution of data on AI—moving beyond traditional analytics to architect an intelligent, autonomous supply chain ecosystem. As the strategic engine behind critical initiatives like Project Falcon, our mission is to fundamentally redefine how the business operates, turning complex logistical challenges into proactive, resilient, and forward-looking capabilities.

About the Role 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.

Conversational AI Development: 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. Agentic AI Support: Help prototype and experiment with AI agents designed to automate specific supply chain tasks and workflows. Data Preparation: Use Python and SQL to extract, clean, and format operational data, ensuring our AI models and LLMs have access to high-quality information. Collaborative Engineering: Participate in daily stand-ups, code reviews, and brainstorming sessions, learning modern software engineering and AI deployment best practices. Project Presentation: End your internship by presenting your project outcomes and technical learnings to team leadership and key stakeholders.

Generative AI Exposure: Experience tinkering with LLM APIs (like OpenAI) or a basic understanding of prompt engineering. Development Tools: Familiarity with code versioning (Git/GitHub) and working in IDEs like VS Code or Jupyter Notebooks. Supply Chain Curiosity: An interest in understanding how global logistics, inventory, and operations function. Programming Foundations: Proficient in Python through coursework or personal projects, with a basic understanding of data manipulation (e.g., Pandas, dictionaries, lists). Database Basics: Foundational knowledge of SQL and how to query relational databases. AI/ML Interest: A strong, demonstrated interest in artificial intelligence, machine learning, or Natural Language Processing (NLP) via academic coursework, hackathons, or personal portfolio projects. Problem Solving: A proactive, curious mindset with a willingness to learn new frameworks quickly and tackle open-ended problems. Rising Junior or Senior preferred Basic Requirements Education: 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.

Under 10% Relocation Provided None Position Type Intern EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or