Senior UX AI Designer for Enterprise Transformation

Sedgwick

Arkansas City (KS)

On-site

USD 100,000 - 150,000

Full time

9 days ago

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Job summary

Sedgwick seeks a UX Designer – Sedgwick AI to craft intuitive AI-enabled experiences across enterprise systems and workflows. You will collaborate with AI architects, data teams, and business leaders to translate complex AI capabilities into practical, user-centered designs that support large-scale transformation.

This role requires strong UX fundamentals, prototyping, and experience delivering scalable products in a major organization.

Qualifications

Bachelor's degree in UX Design, HCI, Product Design, Interaction Design, Cognitive Science, Psychology, CS, Information Systems, or related field.
Master’s degree in HCI, Design Strategy, AI Interaction Design, or related discipline preferred.

Responsibilities

Leads the user experience strategy and design direction for AI-enabled products, tools, platforms, and workflows.
Designs user experiences for Generative AI platforms, conversational AI tools, agentic AI systems, copilots, chat interfaces, and workflow automation.
Partners with AI architects, engineers, product owners, business leaders, and end users to translate AI capabilities into practical, user-centered designs.
Develops user journeys, personas, service blueprints, wireframes, prototypes, interaction models, and usability flows.
Designs conversational and prompt-based experiences, including prompts, interaction patterns, and escalation paths.
Applies human-centered design to ensure AI tools are transparent, explainable, and easy to adopt.
Conducts user research, usability testing, journey mapping, and feedback sessions.
Collaborates with data, analytics, engineering, and platform teams to base designs on accurate data and context.
Supports enterprise AI governance experiences, including consent, explainability, and auditability.
Creates design standards and reusable patterns for enterprise AI solutions.
Partners with change management and training teams to drive adoption.
Evaluates AI experiences with usability outcomes and adoption metrics.