> Markdown version of [/jobs/ext/1990630-product-designer-agentic-ux](https://www.wearedevelopers.com/jobs/ext/1990630-product-designer-agentic-ux). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Designer, Agentic UX - **Company:** Advisor360°, LLC. - **Location:** Needham, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Artificial Intelligence, Machine Learning, Web Content Accessibility Guidelines, Figma - **Published:** August 8, 2026 - **Apply:** https://ats.rippling.com/advisor360-llc/jobs/16c051aa-0fed-4203-b4a0-14538564c1b1?jobSite=Builtin ## About the Role * 5+ years of product design experience, with a portfolio that demonstrates systems thinking alongside strong visual and interaction craft * Demonstrated experience designing for AI or ML-driven products - you understand non-deterministic systems and have designed correction and redirection affordances before * Deep hands-on fluency with Figma, including component architecture, design variables/tokens, and Auto Layout * Experience building or contributing to a shared design system, including governance, documentation, and cross-team adoption * Ability to prototype in code or with AI-assisted tools - you don't wait for engineering to test a concept * Strong product instincts - you can evaluate a plan's UX implications in a technical review, not just in a design critique Preferred: * Experience designing conversational UI or chat-based interfaces, particularly in enterprise or regulated industries * Familiarity with WCAG AA standards and designing for accessibility at the system level * Exposure to financial services, wealthtech, or other compliance-sensitive product environments * Experience authoring structured AI-readable documentation (CLAUDE.md, prompt-based design governance, or equivalent) ## Description * Own the experience definition for your product team - determine how advisors and clients interact with the platform, from AI message rendering to multi-modal response containers, before a single pixel is handed off * Define how the AI assistant participates as a UX actor - design the visual and behavioral patterns that distinguish AI messages from human ones, surface tool execution in-thread, and handle streaming responses gracefully * Design for three participants - advisor, client, and AI - each with distinct information needs, permission levels, and interaction patterns, including intent previews, confidence indicators, and progressive disclosure in chat * Build and maintain a design system built for agent consumption - semantic naming conventions, design token architecture, Auto Layout for responsive intent, and CLAUDE.md-encoded instructions that make the system executable by AI agents * Create predictability within uncertainty - establish structural consistency in tone, format, and response shape so users can build a mental model they trust even when AI output varies * Prototype fast and evaluate running builds - use Claude Code, Figma MCP, or equivalent AI tools to go from concept to testable artifact without waiting for engineering, then validate on functional prototypes rather than static mockups * Champion accessibility from the ground up - encode WCAG AA compliance into the token architecture by default, and own the UX-side of AI content distinguishability for regulatory purposes * Stay one sprint upstream - the next feature's UX is defined and approved before the current one ships, keeping the PM and Tech Lead unblocked and aligned ## Related Videos - [Boost Productivity with AI: Figma & Playwright MCP Workflows - Aris Markogiannakis](https://www.wearedevelopers.com/videos/1768-boost-productivity-with-ai-figma-playwright-mcp-workflows-aris-markogiannakis) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Insight into AI-Driven Design](https://www.wearedevelopers.com/videos/1016-insight-into-ai-driven-design) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) - [Fireside Chat with Kris Rasmussen, CTO at Figma](https://www.wearedevelopers.com/videos/982-fireside-chat-with-kris-rasmussen-cto-at-figma) ## Related Articles - [The future is here: How artificial intelligence is influencing UX design](https://www.wearedevelopers.com/magazine/65-the-future-is-here-how-artificial-intelligence-is-influencing-ux-design) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)