AI Design Internship

About the Role

This is a project-based internship supporting the AI Design Hub in developing, testing, and deploying AI-enabled workflows to enhance the Design development process. Interns will be embedded with designers and studio engineering to address real-world challenges and build usable tools.

Key Responsibilities

• AI workflow development: Prototype AI agents, automations, and tools.
• 3D and geometry automation: Experiment with AI-assisted 3D creation, surfacing, morphing, Blender workflows, and geometry translation.
• Packaging intelligence: Develop AI-assisted packaging tools using engineering standards, vehicle architecture data, competitive benchmarks, and Design requirements.
• Design knowledge: Organize and structure Design data for AI retrieval of historical programs, standards, lessons learned, and best practices.
• Rapid prototyping: Quickly turn ideas into working proof-of-concepts.
• Testing and validation: Test prototypes with designers, document performance, and identify workflow improvements.
• Value measurement: Quantify benefits like time saved, process compression, rework reduction, and capacity creation.

Expected Internship Output

• Deliver two to three working AI prototypes tied to real Design workflows.
• Each prototype should have measurable before-and-after impact.
• Provide a recommendation for future scaling.
• Present prototypes and results to Design leadership.

Tools and Environment

• Microsoft Visual Studio Code with GitHub Copilot
• Microsoft 365 Copilot and Copilot Studio
• Stellantis GenAI Playground (no-code chat environment with ChatGPT, Claude, etc.)
• GenAI Gateway (API access to GPT, Claude, Mistral, Cohere, DeepSeek, Llama, Nova, and Titan model families)
• Stell.AI (Databricks platform for Python, scikit-learn, PyTorch, XGBoost, and generative AI via Hugging Face Transformers)
• Snowflake for data warehousing
• Blender and the studio 3D toolchain

Portfolio and Work Sample Requirements

• A portfolio in PDF format is required with your application.
• The portfolio may combine code and design work.
• Represent skills related to the position, including software, scripting, data, or applied AI projects.
• Present your most current work first, in descending order.
• Provide a brief description of your specific contribution to each project.
• Optional: Include links to public code repositories, demos, or videos.

Requirements & Tech Stack

• Python or a comparable programming language
• Microsoft Office Suite applications
• Willingness to work full-time (40 hours/week)
• Willingness to relocate for the internship
• Authorized to work in the United States

Qualifications

• Pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Software Engineering, Data Science, Human-Computer Interaction, Design Technology, or a related field.
• Completion of freshman year or higher by Spring 2027.
• Preferred: Completion of sophomore year or higher by the internship start date.
• Preferred: Experience building with large language models, generative image or video tools, or machine learning frameworks.
• Preferred: Familiarity with scripting in creative or 3D software such as Alias, Blender, Maya, or Unreal Engine.
• Preferred: Experience working with data: SQL, pandas, APIs, or building simple data pipelines.
• Preferred: Ability to prototype lightweight applications or interfaces.
• Preferred: Comfort working in Microsoft Visual Studio Code, including Git version control and AI coding assistants like GitHub Copilot.
• Preferred: Exposure to Microsoft 365, Copilot Studio, Power Platform, or similar enterprise tools.
• Preferred: Strong interest in the automotive industry, design, and new technologies.
• Preferred: Strong written and verbal communication skills.
• Preferred: Ability to work in a team environment and exhibit leadership characteristics.
• Preferred: Creative and innovative thinking.