AI Experience Designer (Contract)
Applying? Send a résumé written for this exact role.
We'll tailor a polished résumé and a full CV to AI Experience Designer (Contract) at Robert Half, then hand you both as PDFs. Free, about a minute, no signup to try it.
Locations (Hybrid): Atlanta, GA | Nashville, TN (Must reside near and be able to work hybrid out of one of these regional hub locations)Duration: 6-Month Contract (Potential to extend based on performance and project scope)Work Schedule: Full-Time (40 Hours / Week)Employment Type: ContractAbout the RoleWe are seeking an innovative, forward-thinking AI Experience Designer to join our design team for a 6-month contract engagement with potential for extension. In this role, you will define and design user-centered experiences powered by artificial intelligence, generative models, and intelligent automation.Positioned at the intersection of UX design, product strategy, and conversational AI, you will craft intuitive interaction models, agentic workflows, and UI patterns that make complex AI interactions feel seamless, transparent, and delight-driven for our users.Key ResponsibilitiesAI Experience & Interaction Design: Map end-to-end user journeys for AI-powered features, establishing novel interaction patterns for conversational interfaces, copilot experiences, predictive workflows, and generative outputs.Prototyping & Workflow Design: Create low-to-high fidelity wireframes, user flows, interactive prototypes, and system logic diagrams in Figma to demonstrate dynamic AI behaviors and state changes.Human-AI Interface Guidelines: Help build and maintain design system guidelines specifically for AI components, including prompt interfaces, feedback loops, confidence indicators, and error-handling states.Cross-Functional Collaboration: Partner closely with AI/ML engineers, product managers, content strategists, and research teams to translate technical capabilities into clear, ethical, and accessible user interfaces.User Testing & Iteration: Design and run usability evaluations to test prompt clarity, AI output comprehension, user trust, and friction points, rapidly iterating based on qualitative and quantitative feedback.