How can I frame my experience with design systems to show I am prepared for an AI-driven workflow rather than just manual production work?

Design systems work is easy to describe as production: building components, documenting states, keeping the Figma library tidy. Pitched that way, it sounds like exactly the kind of work AI is absorbing. But the underlying skill (keeping a product coherent as lots of people change it) has become more valuable, so the framing is what needs to change.

Start with the bigger shift. Anyone on a team can generate mockups in minutes. That was never the hard part. The hard part is maintaining coherency and intention across a product. Now that marketing adds landing pages, engineering adds docs, a PM tweaks the pricing page, all with their own agents, someone has to keep it all from drifting apart. That's your pitch. You're the person who keeps the whole thing coherent.

So translate your experience into steering language. A design system for agents is a steering layer for a site's design and front-end code. Instead of "built and maintained a component library," try something like "defined the grid, type, color, and spacing that everyone's work snaps to." Same experience, but it now describes the job where a design lead and front-end lead define the grid, fonts, colors, spacing, and components once, and everyone's agents are 'snapped to' it.

Next, show precision. Anyone can dump a style guide into an instruction file, and the more you pile in, the less useful it gets. What sets you apart is knowing the three to five things that actually matter, in what order, and how they need to be done. If you can point to a system and say "these were the rules that kept it consistent, and here's why," you're demonstrating exactly the judgment that's worth encoding for agents.

Also talk about the classic failure and how you'd avoid it. Most systems end up describing a product that no longer exists. If you've dealt with drift, explain what you learned, then show you understand why code as the source of truth (with agents reading from it) solves that problem better than more documentation or another review layer.

Finally, prove it with something real. A paragraph about steering layers is fine, but a working example is far better. Wire tokens, components, and an agents.md file (a plain-text instruction file agents read before working) into one of your projects, then show what happens when several people build on it in parallel. Designers are making them (tools, that is) and not just using them, so building something like this fits right into the AI builder positioning we talked about.

Put simply: drop the vocabulary of production (components, specs, handoff) and use the vocabulary of intent (rules, relationships, coherence at scale). The grid is the grid no matter how many agents are writing code in parallel. Show you're the person who decides what the grid is.