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 (flows, wireframes, interactive prototypes, design specifications).
- Craft prompts, disclosures, error handling, and guardrail/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 behaviours 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/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 / RAG interfaces
- Expert system flows (upload → extract → generate)
- Smart workflow decision trees
- AI coworker / agentic user experiences