Senior UX Designer

Role overview

Lead hands-on UX design for AI-powered products used in complex engineering workflows. You’ll work with product managers, engineers and AI specialists to identify useful applications, design how people interact with AI and evaluate its recommendations, then carry that work from discovery through implementation. You’ll also guide design direction across teams, mentor designers and build shared patterns for AI interactions.

Responsibilities

- Lead and support design from discovery and problem definition through interaction design, implementation and iteration. - Create conversational, contextual and agent-driven workflows that help people express intent, supply context and act on results. - Make agent plans, progress, dependencies, approvals and handoffs understandable and manageable. - Design human oversight, including ways to review proposed actions, set limits, intervene and recover from errors. - Help users assess AI output with suitable source context, explanations and visibility into limitations. - Plan customer research and usability testing; develop design artifacts from workflow diagrams to polished, interactive prototypes. - Partner with engineers during implementation, use customer feedback and product insights to refine the experience, and mentor designers.

Requirements

- Typically 5+ years of product or UX design experience, including leadership of complex initiatives. - Shipped AI-powered interfaces and a portfolio explaining the AI behavior, design choices and lessons from real user experience. - Experience with conversational interfaces, language-model workflows, assistants, agents or agent orchestration. - Practical understanding of how variability, latency, context limits and failure modes affect UX. - Strong information architecture, interaction and visual design, accessibility and systems thinking. - Figma proficiency and ability to prototype dynamic interactions; strong collaboration and communication with technical partners. - Ability to influence design across teams and help other designers improve their work.

Nice to have

- Knowledge of machine learning, language models or agent architecture. - Experience with enterprise controls such as permissions, approvals, activity history or auditability. - Work on AI evaluations, code-based prototypes, APIs or engineering and manufacturing products.