Supply Chain Applied AI Engineering Intern

At Motorola Solutions we believe that everything starts with our people. Were 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 thats 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.

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 Bachelors 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

• Education: Currently enrolled in a Bachelors degree program in Computer Science Data Science Software Engineering or a related technical field with a graduation date no late then Dec. 2030.

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion or belief sex sexual orientation gender identity national origin disability veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.

Were committed to providing an inclusive and accessible recruiting experience for candidates with disabilities or other physical or mental health conditions. To request an accommodation please complete thisReasonable Accommodations Formso we can assist you.