UXUI Creative Technologist Intern (AI X Design Language System)

Changi Airport Groupchangiairport.com; Singapore; On-site; SGD 16,000 - 23,000; Full time

Job summary

Changi Airport Group's Enterprise UXUI Team is seeking an AI-forward design intern (undergraduates only) to evolve and scale our Design Language System (DLS). You’ll work on design foundations across traveller-facing and operations-facing products, using AI as a force multiplier.

Build components, refine variants, and explore AI-assisted tooling to accelerate documentation and pattern definitions. You will collaborate with engineers to translate tokens and components into code, prototype AI

Qualifications

• Undergraduates only; portfolio required.
• Strong foundation in design systems with components and tokens.
• Experience with AI-assisted design tools.
• Frontend development knowledge.
• Ability to structure systems clearly.
• Eager to experiment with prompt engineering.
• Willingness to collaborate with engineers to translate design to code.

Responsibilities

• Contribute to evolving the Design Language System (DLS) using AI-assisted workflows.
• Use AI tools to accelerate component structuring, naming, and variant logic.
• Experiment with prompt engineering to automate documentation and pattern definitions.
• Explore AI-assisted design-to-code translation and alignment between DLS and frontend.
• Collaborate with engineers to understand token-to-code translation and improve governance.
• Prototype lightweight AI tools or scripts to improve DLS efficiency and adoption.
• Audit live products with AI to surface inconsistencies and opportunities.

Skills

Design Systems

Figma AI-native mindset

Creative technologist mindset

Frontend knowledge

Structured thinker

Curious and experimental

Education

Undergraduate student

Tools

Claude

Figma Make

Lovable

Notion AI

Job description

[OPEN TO UNDERGRADUATES ONLY, NOT OPEN TO GRADUATES]

Changi Airport Group - Enterprise UXUI Team

Join our team at the world's leading airport and be part of something groundbreaking! We are looking for an AI-forward design intern to help evolve and scale our Design Language System (DLS).

This role focuses on building, systemising, and accelerating our design foundations across traveller-facing and operations-facing products — using AI as a force multiplier. If you’re excited about the intersection of design systems, automation and generative AI, this is for you.

What you’ll do:

• Contribute to the evolution of our Design Language System (DLS) by building and refining components using AI-assisted workflows
• Use AI tools (e.g. Claude, Figma Make, Lovable, Notion AI) to accelerate component structuring, variant logic and naming conventions
• Experiment with prompt engineering to automate repetitive DLS tasks such as documentation, spec writing and pattern definitions
• Explore AI-assisted design-to-code translation and support alignment between DLS components and frontend implementation
• Work with engineers to understand how tokens and components translate into code and contribute improvements
• Prototype lightweight AI tools or scripts that improve DLS efficiency, governance or adoption Use AI to audit live products and surface system inconsistencies or optimisation opportunities
• Contribute to structuring scalable documentation systems powered by AI-generated drafts and structured outputs Research and test emerging AI × Design System practices to future-proof our DLS processes

What we’re looking for:

• Strong foundation in Design Systems: comfortable working with components, variants, auto layout, variables and structured naming in
• Figma AI-native mindset: familiar with generative AI tools (e.g. Claude, ChatGPT, Figma Make, Lovable) and comfortable experimenting with prompt engineering
• Creative technologist mindset: enjoys building, automating and systemising rather than just designing static screens
• Frontend knowledge: strong understanding of front-end development and best practices
• Structured and detail-oriented thinker: able to organise systems clearly and reduce ambiguity
• Curious and experimental: interested in exploring how AI can improve efficiency, governance and scalability of design systems
• Portfolio required: show evidence of system thinking, component libraries, frontend projects or AI-assisted workflows