AI UX Designer for Generative and Conversational AI

Sedgwick

Utah

On-site

USD 120,000 - 180,000

Full time

8 days ago

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Job summary

Sedgwick seeks an experienced UX Designer specialized in AI to shape intuitive AI-powered experiences across enterprise platforms. This senior role focuses on translating Generative AI capabilities into practical, user-centered designs while collaborating with AI architects, product owners, and engineers to improve productivity and adoption.

The candidate will craft journeys, wireframes, and prototypes, applying human-centered design, accessibility, and governance considerations across complex

Qualifications

  • Bachelor’s degree in UX design or related field; Master’s preferred.
  • Seven years of related experience in user experience design, product design, or digital experience strategy; AI-enabled products experience preferred.

Responsibilities

  • Lead UX strategy and design direction for AI-enabled products, tools, and workflows.
  • Translate complex AI capabilities into practical, user-centered designs for enterprise systems.
  • Develop user journeys, personas, service blueprints, wireframes, and prototypes across AI platforms.
  • Ensure AI tools are transparent, explainable, and trustworthy with measurable adoption.
  • Collaborate with AI architects, engineers, data teams, and stakeholders to deliver coherent UX.

Skills

UX design
Generative AI
User research
Cross-functional

Education

Bachelor's degree in UX design or related field
Master's degree preferred

Tools

Figma
FigJam
Miro
Adobe Creative Suite

Job description

Sedgwick seeks an experienced UX Designer specialized in AI to shape intuitive AI-powered experiences across enterprise platforms. This senior role focuses on translating Generative AI capabilities into practical, user-centered designs while collaborating with AI architects, product owners, and engineers to improve productivity and adoption.

The candidate will craft journeys, wireframes, and prototypes, applying human-centered design, accessibility, and governance considerations across complex

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