UX Designer – AI

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UX Designer – Sedgwick AI

The UX AI Designer within the Transformation Office serves as a senior user experience and product design professional responsible for shaping intuitive, human-centered AI experiences that support large-scale business transformation. This role translates complex artificial intelligence capabilities, including Generative AI, agentic workflows, LLM-powered tools, and conversational interfaces, into accessible, effective, and scalable user experiences across enterprise systems, Lines of Business, and operational workflows.

• Leads the user experience strategy and design direction for AI-enabled products, tools, platforms, and workflows, ensuring solutions are intuitive, accessible, scalable, and aligned with enterprise transformation objectives.
• Designs user experiences for Generative AI platforms, conversational AI tools, agentic AI systems, copilots, chat-based interfaces, recommendation tools, and workflow automation solutions that support complex business processes.
• Partners with AI architects, engineers, product owners, business leaders, and end users to translate advanced AI capabilities into practical, user-centered designs that improve productivity, decision-making, and operational efficiency.
• Develops user journeys, personas, service blueprints, wireframes, prototypes, interaction models, and usability flows that define how colleagues and clients engage with AI-enabled solutions across systems and processes.
• Designs conversational and prompt-based experiences, including user prompts, interaction patterns, response flows, escalation paths, feedback loops, and human-in-the-loop review experiences.
• Applies human-centered design principles to ensure AI tools are transparent, explainable, trustworthy, and easy to adopt, with a strong focus on minimizing user friction and supporting responsible AI use.
• Conducts user research, stakeholder interviews, usability testing, journey mapping, and feedback sessions to identify user needs, pain points, adoption barriers, and opportunities for AI-driven process improvement.
• Collaborates with data, analytics, engineering, and platform teams to ensure AI experiences are informed by accurate data, appropriate context, sound design logic, and clear user expectations.
• Supports the design of enterprise AI governance experiences, including consent, disclosure, confidence indicators, explainability, exception handling, auditability, and user feedback mechanisms.
• Creates design standards, reusable interaction patterns, and UX best practices for enterprise AI solutions to promote consistency across AI products, platforms, and digital experiences.
• Partners with change management, communications, training, and business readiness teams to support user adoption, colleague…