CPT Applied AI Engineer Jobs
Applied AI Engineer jobs let F-1 students on CPT work on production-grade machine learning systems, LLM pipelines, and AI product development while earning academic credit. Your DSO must authorize CPT before your start date, and the role must connect directly to your degree program's learning objectives.
Find CPT Applied AI Engineer JobsOverview
Showing 5 of 21+ Applied AI Engineer jobs
See all Applied AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer roles.
Get Access To All JobsCompany 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.
Job Description
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.
Key Responsibilities
- 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.
Preferred Qualifications
- 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 later than Dec. 2030.
Travel Requirements
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 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 you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
We’re 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 this Reasonable Accommodations Form so we can assist you.
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.
Job Description
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.
Key Responsibilities
- 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.
Preferred Qualifications
- 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 later than Dec. 2030.
Travel Requirements
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 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 you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
We’re 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 this Reasonable Accommodations Form so we can assist you.
See all CPT Applied AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new CPT Applied AI Engineer Jobs.
Get Access To All JobsApplied AI Engineer CPT: Frequently Asked Questions
Does an Applied AI Engineer job qualify for CPT authorization?
It qualifies if the role is an integral part of your degree program and directly relates to your field of study. Applied AI Engineer positions typically involve machine learning systems, model deployment, and AI product development, which align well with computer science, data science, and engineering curricula. Your DSO makes the final determination, so bring the full job description to your authorization meeting.
Can I do full-time CPT as an Applied AI Engineer without losing OPT?
Full-time CPT, meaning 20 or more hours per week, used for 12 months or more eliminates your OPT eligibility entirely. Part-time CPT, under 20 hours per week, has no impact on OPT regardless of duration. If the Applied AI Engineer role is full-time, track your cumulative CPT hours carefully with your DSO to protect your post-graduation options.
How do I find Applied AI Engineer employers who are familiar with CPT?
Use Migrate Mate to search for Applied AI Engineer roles filtered by employers with verified work authorization history. Employers who have filed Labor Condition Applications for AI and machine learning roles through DOL are more likely to have HR teams experienced with CPT documentation, I-20 processing, and international student onboarding.
What documents does an employer need to verify my CPT work authorization?
Your employer needs your valid I-20 with the CPT authorization section completed by your DSO, your F-1 visa stamp, and your passport. Unlike OPT, CPT does not require an EAD card. Some E-Verify enrolled employers will also run an I-9 verification using these documents. Make sure your I-20 reflects the correct employer name, start date, and authorized hours before your first day.
Is there a cap on the number of Applied AI Engineer CPT positions I can hold?
There's no federal cap on CPT positions, but each authorization is specific to one employer and one period. If you switch employers or extend your role, your DSO must issue a new or updated I-20 with revised CPT dates. Holding concurrent CPT positions at multiple employers is technically possible but requires separate authorization for each and additional DSO review.