Senior UX AI Designer for Transformative Enterprise Tools

Sedgwick

South Carolina

On-site

USD 90,000 - 150,000

Full time

8 days ago

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Job summary

Sedgwick is seeking a UX Designer – AI to shape human-centered AI experiences across enterprise systems. You will translate Generative AI capabilities into practical, scalable interfaces, working with AI architects, engineers, and business stakeholders in a cross-functional environment.

The role emphasizes usability, explainability, and governance, with a focus on enterprise transformation and enterprise AI governance practices.

Qualifications

  • Bachelor’s degree in UX Design, Human-Computer Interaction, or related field required.
  • Seven years of related UX/design experience with at least three years on AI-enabled products.
  • Experience designing for Generative AI, conversational interfaces, and enterprise workflows.
  • Experience in complex corporate environments with cross-functional teams.

Responsibilities

  • Lead UX strategy and design direction for AI-enabled products and workflows.
  • Design experiences for Generative AI platforms, chat interfaces, and copilots.
  • Collaborate with AI architects, engineers, and business stakeholders to translate AI into usable designs.
  • Create user journeys, personas, wireframes, prototypes, and usability flows.
  • Develop prompts, interaction patterns, and human-in-the-loop review experiences.
  • Ensure explainability, trust, and governance in AI tools.
  • Conduct user research, usability testing, and journey mapping.
  • Partner with data, analytics, and platform teams to inform designs.

Skills

Translate AI concepts
UX design methods
Human-AI interaction
Conversational UI
Design systems
Product development
Cross-functional

Education

Bachelor’s in UX Design
Master’s in AI Interaction Design

Tools

Figma
FigJam
Miro
Adobe Creative Suite

Job description

Sedgwick is seeking a UX Designer – AI to shape human-centered AI experiences across enterprise systems. You will translate Generative AI capabilities into practical, scalable interfaces, working with AI architects, engineers, and business stakeholders in a cross-functional environment.

The role emphasizes usability, explainability, and governance, with a focus on enterprise transformation and enterprise AI governance practices.

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