Contract: 12-Month Contract (Possible Extensions)
We are seeking an experienced AI-native UX Designer to lead the design of next-generation AI interfaces and workflows. This is a specialist role focused on designing for agentic systems, human-in-the-loop validation, and AI-driven decisioning, not traditional digital UI work.
You will be embedded with product, BSA, DS/ML, engineering, and risk teams to deliver intuitive, safe, and explainable AI experiences across multiple high-impact initiatives.
Key Responsibilities
• Design interfaces that support confidence indicators, citations, validation loops, and human-in-the-loop workflows.
• Translate complex, multi-step AI workflows into simple, intuitive user experiences.
• Create end-to-end UX deliverables including flows, wireframes, interactive prototypes, and design specifications.
• Craft prompts, disclosures, error handling, and guardrail or safety states to build user trust and clarity.
• Conduct research around trust calibration, explainability, mental models, and error recovery.
• Run usability tests and heuristic reviews to convert insights into iterative design improvements.
• Build interactive prototypes simulating LLM behaviors for concept testing.
• Partner with product and analytics to define experiments, success metrics, and usability benchmarks.
• Embed explainability features, confidence signals, review steps, accessibility, privacy compliance, and safety patterns throughout all workflows.
• Work closely with PMs, BSAs, DS/ML engineers, and risk teams to ensure feasibility, performance, and responsible AI implementation.
• Present work to senior stakeholders and document rationale, decisions, and acceptance criteria.
• Contribute to an AI-specific design system including components such as chat patterns, citations, agent controls, prompts, and feedback widgets.
• Produce usage guidelines and scalable content standards.
Requirements
• Proven experience designing AI-native, AI-driven UX (not standard digital or web UX).
• Ability to showcase a strong portfolio with AI-specific case studies and artifacts.
• Strong understanding of:
• Human-in-the-loop patterns
• Confidence scoring
• Validations and feedback loops
• Citation display
• User intent patterns in agentic systems
Projects You’ll Work On
• Smart libraries or RAG interfaces
• Expert system flows (upload → extract → generate)
• Smart workflow decision trees
• AI coworker or agentic user experiences


