Tech – Designer: Central Design - Design Engineering

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Role

Designer

Division

Central Administration & Social

Level

Post-Diploma, Polytechnic Student, Undergraduate

Internship Duration

6 months, 12 months

Project Description

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We are the central design function for education technology. We work across many products for many different people: teachers, students, school leaders, and the officers who support them. Our products reach Singapore's education system at national scale. The internship has two halves. The first is product design work, weighted towards the solution space. A problem will usually have been framed before it reaches the intern. Their job is to work out what should actually be built, make it real, and push it until it is good enough to ship. The second is contributing to our design harness: the patterns, playbooks, templates and encoded design judgment that let a small central team work well with AI across many products at once. No settled practice exists for this yet. AI can generate an interface in seconds, and the industry has not worked out what that means for how design gets done. The intern will help us write our own answer rather than copy someone else's. Most places where you can experiment freely with AI-native design have no real users, and most places with real users at this scale will not let you experiment. This internship offers both.

Learning Outcomes

- Designing and Building End to End: Gain hands-on experience taking an idea from concept to a working, usable product experience. Not mockups of a product, but something people can actually use. -AI-Native Design Practice: Learn to work with AI as a primary design and build material, developing practical judgment about where it accelerates you, where it produces confident but wrong output, and how to tell the difference under real deadlines. This is a skill the industry is actively forming and very few people have been trained in. -Design Harness and Systems Thinking: Learn how to capture and encode design judgment into reusable patterns, playbooks and templates, so that quality holds up across many products and many people. This is how a central team creates leverage instead of becoming a bottleneck. -Human-AI Interaction Design: Learn to design interfaces for AI-driven features, including how to show what a system did, how sure it is, and how a user can disagree with it. Nobody has worked out how to do this well yet. -Designing at Public Sector Scale: Design within the education system and learn to work with the constraints of public sector delivery: accessibility, trust, and the fact that the people using your work did not choose to.

Prerequisites

- Currently pursuing a degree or diploma in any discipline: design, computer science, human-computer interaction, or something with no obvious connection to either. What you have made matters more than what you are studying. - Evidence that you build things. A site, a tool, an extension, a small game, a plugin, a bot: something you made because it bothered you that it did not exist. We are not prescriptive about what you built it with, including if AI wrote most of the code. - Work we can see the thinking in. Show us what you tried, what failed, and what you decided. A rough thing you can talk about honestly beats a polished thing you cannot. - Taste you can defend. Not "I prefer this one" but why: what it does for the person using it, what it costs, what you would change. Some working familiarity with front-end web technologies, at whatever depth you have reached. - Preferred but not required: experience using AI tooling in your own design or build workflow, an interest in design systems or internal tooling, and any connection to education.