User Experience Designer, AI (Contract)

We’re looking for a User Experience Designer who can help us turn product vision into intuitive, modern experiences, spanning chat, in product assistants, and insight surfaces.

Requirements

• Define UX strategy & principles for Messagepoint
• Design core surfaces
• Prototype at multiple fidelities (lofi maps, service blueprints, high-fidelity Figma prototypes with realistic data and micro interactions).
• Operationalize trust & safety in the UI: handle uncertainty, show citations/sources, preview actions, require approvals, and make outcomes reversible.
• Evolve our design system to support AI patterns (states, streaming, loading, error/repair flows, suggestion affordances, design tokens).
• Partner with AI/ML to align UX with solution capabilities and constraints.
• Champion accessibility & enterprise readiness: WCAG 2.2 AA, internationalization, RBAC, privacy/compliance touchpoints.
• AI UX expertise with shipped work in production SaaS (preferably B2B/enterprise), including at least 2 end-to-end AI features live with real users.
• Figma power user: components/variants, Auto Layout, component properties, design tokens, prototyping for complex, stateful flows.
• Advanced prototyping: interactive prototypes that simulate streaming responses, agent steps, approvals, and errors using Figma prototyping.
• Ability to spec motion and export to Lottie when needed.
• Accessibility: designs that meet WCAG 2.2 AA, including keyboard navigation, focus management for chat/command UIs, ARIA patterns, and contrast.
• Data + insight UX: information architecture for complex data, explainable charts (time-series, anomalies), progressive disclosure, empty/error/partial states.
• Agentic AI constraints awareness (you don’t need to code models): LLM limitations (context windows, hallucinations, prompt sensitivity) Tool/function calling and multi-step plans; RAG and embeddings basics Latency & streaming UX, fallbacks, and cost/quality trade-offs Approval/undo patterns, sandbox/simulation, and auditability Enterprise SaaS patterns: multitenant/RBAC, admin vs. end-user views, audit logs, GDPR/CCPA touchpoints, security by design collaboration.