Senior UX Designer - AI-Driven Enterprise Solutions

Sedgwick

Elm (PA)

On-site

USD 90,000 - 130,000

Full time

8 days ago

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Benefits offered by this job

Travel as required

Job summary

Sedgwick is seeking a UX AI Designer to lead human-centered design across AI-enabled products and workflows within the Transformation Office. You will translate Generative AI capabilities into intuitive experiences that boost productivity and adoption.

Collaborate with AI architects, product owners, engineers, data teams, and business stakeholders to deliver journeys, wireframes, and prototypes that emphasize explainability and responsible AI use across complex systems.

Qualifications

  • Seven years of related experience in user experience design or digital experience strategy.
  • Experience designing for Generative AI, conversational interfaces, or AI-enabled workflows.
  • Ability to translate complex AI concepts into clear user experiences.
  • Strong collaboration with cross-functional teams including product, data, and security.
  • Knowledge of accessibility standards and inclusive design.

Responsibilities

  • Lead UX design direction for AI-enabled products, tools, platforms, and workflows.
  • Design experiences for Generative AI platforms, chat-based interfaces, and copilots.
  • Create user journeys, wireframes, prototypes, and usability flows.
  • Ensure AI tools are transparent, explainable, and trustworthy.
  • Collaborate with AI architects, engineers, and stakeholders to align with business goals.

Skills

UX design
AI interaction
stakeholder collaboration
communication

Education

Bachelor's degree in UX Design
Master's degree in AI Interaction Design

Tools

Figma
FigJam
Miro
Adobe Creative Suite

Job description

Sedgwick is seeking a UX AI Designer to lead human-centered design across AI-enabled products and workflows within the Transformation Office. You will translate Generative AI capabilities into intuitive experiences that boost productivity and adoption.

Collaborate with AI architects, product owners, engineers, data teams, and business stakeholders to deliver journeys, wireframes, and prototypes that emphasize explainability and responsible AI use across complex systems.

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