UX Designer – Sedgwick AI

📍 Job Overview

Job Title: UX Designer – Sedgwick AI

Company: Sedgwick

Location: Telecommuter TN (Remote OK for Arkansas, Louisiana, Nebraska, Tennessee)

Job Type: Full-Time

Category: User Experience (UX) Design / Artificial Intelligence (AI)

Date Posted: May 20, 2026

Experience Level: 5-10 Years

Remote Status: Remote OK

🚀 Role Summary

• Lead the end-to-end user experience (UX) design for sophisticated AI-powered applications, specifically focusing on Large Language Model (LLM)-driven tools and comprehensive workflow automation solutions.

• Design intuitive and efficient user interfaces for AI-enabled systems, including agentic AI assistants and advanced workflow automation platforms, tailored for adjusters, examiners, supervisors, and external clients.

• Translate complex AI functionalities such as reasoning outputs, confidence scores, document summarization, and predictive workflow recommendations into clear, actionable UI patterns and interaction models.

• Develop user-centric experiences that strategically balance AI-driven automation with essential human oversight and control mechanisms, ensuring a robust human-in-the-loop framework.

📝 Enhancement Note: This role is deeply embedded in the application of AI within enterprise workflows, specifically for claims, risk, and client servicing. The focus on LLM-driven tools and agentic AI assistants indicates a forward-thinking approach to leveraging cutting-edge AI technology. Experience with AI explainability and transparency in design is crucial, as is the ability to design for regulated industries like insurance.

📈 Primary Responsibilities

• Spearhead the complete UX design lifecycle for AI-powered applications, from conceptualization to implementation, ensuring user needs and business objectives are met.

• Design innovative interaction models for conversational AI, structured AI outputs, and multi-step AI-assisted workflows that enhance user productivity and decision-making.

• Create detailed wireframes, interactive prototypes, and high-fidelity mockups for AI-enabled dashboards and sophisticated case management tools.

• Conduct in-depth user research, including interviews and workflow analysis, with claims professionals to deeply understand their operational workflows, identify key pain points, and uncover adoption barriers for AI solutions.

• Map complex end-to-end claims journeys to pinpoint high-impact opportunities for AI augmentation and process optimization.

• Design critical explainability and transparency components that empower users to fully understand AI reasoning, confidence levels, and the rationale behind AI-generated outputs.

• Ensure interfaces clearly communicate system limitations, confidence thresholds, and the specific human actions required for effective AI utilization.

• Foster close collaboration with AI engineers to ensure seamless alignment between UX design patterns and underlying system capabilities and constraints.

• Partner effectively with product managers to define feature requirements, prioritize enhancements, and contribute to the product roadmap for AI initiatives.

• Develop and maintain a comprehensive and scalable design system specifically tailored for Sedgwick AI platforms, ensuring consistency and efficiency across all AI-driven applications.

• Create and execute robust usability testing plans, actively gathering user feedback to iteratively refine and improve AI-driven features and workflows.

• Ensure all designs adhere to accessibility standards (e.g., WCAG), promote inclusivity, and align with enterprise design standards and branding guidelines.

• Optimize user workflows to minimize clicks, reduce manual rework, and alleviate cognitive load for users interacting with complex AI systems.

• Design dynamic dashboards that effectively surface critical AI insights, actionable alerts, and real-time workflow statuses in a clear and intuitive format.

• Document comprehensive UX guidelines and best practices specifically for AI-assisted decision support systems, serving as a reference for future development.

• Contribute actively to change management efforts by designing user-friendly onboarding experiences and training materials to facilitate the adoption of AI technologies.

📝 Enhancement Note: The responsibilities highlight a deep dive into complex enterprise software design, specifically within the insurance and claims processing domain, augmented by AI. The emphasis on user research, journey mapping, and translating complex AI outputs into intuitive UI patterns is critical. The need to document UX guidelines for AI systems suggests a foundational role in establishing best practices for AI-human interaction within Sedgwick.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 5 years of progressive experience in designing sophisticated enterprise software applications.

Required Skills:

• UX Design Leadership: Ability to lead the end-to-end user experience design process for complex AI-powered applications, from research and ideation to high-fidelity design and testing.

• AI Interface Design: Expertise in designing intuitive interfaces for AI-driven tools, including LLM-based applications, agentic AI assistants, and workflow automation platforms.

• User Research & Analysis: Strong proficiency in user research methodologies, including user interviews, workflow analysis, journey mapping, and persona development, specifically applied to understanding operational challenges.

• Wireframing & Prototyping: Advanced skills in creating wireframes, interactive prototypes, and high-fidelity mockups using industry-standard design tools.

• Design Tools Proficiency: Mastery of design and prototyping software such as Figma, Sketch, or Adobe XD.

• Interaction Design: Deep understanding of interaction design principles, information architecture, and creating seamless user flows for complex systems.

• Usability Testing & Iteration: Experience in planning and conducting usability testing, gathering actionable feedback, and iterating designs based on user insights.

• AI Explainability & Transparency Design: Ability to design interfaces that clearly communicate AI reasoning, confidence levels, system limitations, and required human actions.

• Collaboration & Communication: Excellent collaboration skills, with the ability to effectively partner with AI engineers, product managers, business analysts, and operations teams.

• Documentation & Guidelines: Proficiency in documenting UX guidelines, design principles, and best practices for AI-assisted systems.

Preferred Skills:

• Conversational AI Design: Prior experience designing conversational interfaces, chatbots, or AI-assisted user experiences.

• Design Systems Development: Experience in creating, maintaining, and scaling design systems for enterprise applications.

• Regulated Industry Experience: Familiarity with designing for regulated industries such as insurance, healthcare, or financial services.

• Accessibility & Inclusive Design: Strong knowledge of accessibility standards (e.g., WCAG) and inclusive design principles.

• Workflow Optimization: Demonstrated ability to analyze and redesign workflows for efficiency and reduced cognitive load.

📝 Enhancement Note: The requirement for 5+ years in enterprise software design, coupled with a strong portfolio in AI-powered or data-driven applications, suggests this is not an entry-level or junior role. The preference for conversational AI and regulated industry experience further refines the ideal candidate profile, pointing towards a need for specialized expertise in complex, high-stakes environments.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI/ML Application Design: Showcase at least 1-2 significant projects demonstrating your UX design expertise in AI-powered or machine learning-driven applications, highlighting the specific AI functionalities addressed.

• Workflow Automation Design: Include case studies that illustrate your ability to design and optimize complex business workflows, detailing how your design solutions improved efficiency, reduced errors, or enhanced user productivity.

• Enterprise Software Experience: Present projects that reflect your experience designing for enterprise-level software, emphasizing scalability, robustness, and integration considerations.

• Research & Iteration Process: Detail your user research process, including methodologies used, key insights gained, and how those insights informed design decisions and iterative improvements. Clearly articulate the impact of your design interventions.

Process Documentation:

• User Journey Mapping: Provide examples of detailed user journey maps, particularly for complex operational processes, that identify pain points and opportunities for AI-driven solutions.

• Wireframing & Prototyping Fidelity: Demonstrate a range of fidelity in your deliverables, from low-fidelity wireframes and user flows to high-fidelity interactive prototypes, showcasing your ability to communicate design concepts effectively at different stages.

• Design System Components: If applicable, include examples of components designed within a design system context, illustrating consistency and reusability principles.

📝 Enhancement Note: The portfolio requirements are highly specific to AI and enterprise workflow design. Candidates must be prepared to demonstrate not just aesthetic design skills but a deep understanding of user research, process optimization, and the unique challenges of designing for AI applications, particularly those involving human-in-the-loop interactions. Quantifiable results and clear articulation of the design process are paramount.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage.

• Retirement Savings Plan: 401(k) with company match.

• Paid Time Off: Generous vacation, sick leave, and holidays.

• Professional Development: Opportunities for training, conferences, and certifications to enhance skills in AI UX, design systems, and related areas.

• Employee Assistance Program (EAP): Support services for personal and professional well-being.

• Life and Disability Insurance: Standard employer-provided coverage.

• Potential for Performance Bonuses: Based on individual and company performance.

Working Hours:

• Standard full-time hours are typically 40 hours per week. While the role is remote, core business hours may require availability during specific times for collaboration with teams in different time zones. Flexibility in scheduling is generally provided, allowing for work-life balance.

📝 Enhancement Note: The salary estimation is based on aggregated data from reputable compensation platforms (e.g., Glassdoor, LinkedIn Salary, Payscale) for UX Designers with 5-10 years of experience in the US, with an uplift for specialized AI/ML and enterprise software design experience. The specific range can vary based on the candidate's exact experience, skills, and the final negotiation. Benefits are standard for a large enterprise like Sedgwick.

🎯 Team & Company Context

🏢 Company Culture

Industry: Insurance and Claims Management. Sedgwick is a global leader in providing technology-enabled claims and business solutions. The company operates within a highly regulated industry that is increasingly leveraging technology, including AI, to improve efficiency, accuracy, and customer experience.

Company Size: 33,000+ employees globally. This indicates a large, established enterprise with significant resources, structured processes, and opportunities for career advancement. For operations professionals, this means working within a well-defined framework, collaborating with diverse teams, and contributing to large-scale initiatives.

Founded: Sedgwick's history dates back to 1969, establishing it as a long-standing and stable organization with a deep understanding of its core markets.

Team Structure:

• AI Product Team: This UX Designer will likely be part of a dedicated AI product development team, working closely with AI engineers, data scientists, product managers, and potentially business analysts.

• Cross-Functional Collaboration: Expect significant collaboration with claims adjusters, examiners, supervisors, and client servicing teams who are the end-users of the AI applications.

• Reporting: The role likely reports into a Head of UX, Director of Product Design, or a similar leadership position within the technology or innovation division, with a strong dotted line to the AI product leadership.

Methodology:

• Agile Development: Sedgwick likely employs Agile methodologies for software development, requiring UX designers to work in iterative cycles, participate in sprint planning, and adapt designs based on continuous feedback.

• Data-Driven Design: The focus on AI and enterprise applications necessitates a data-driven approach to design, using user research, analytics, and performance metrics to inform decisions and measure impact.

• User-Centricity: A core tenet will be a commitment to understanding and addressing the needs of end-users, ensuring that AI solutions are not only technologically advanced but also practical and beneficial in real-world operational scenarios.

Company Website: https://www.sedgwick.com/

📝 Enhancement Note: Sedgwick's status as a large, established player in a regulated industry like insurance suggests a culture that values stability, compliance, and process, but also one that is actively investing in innovation through AI. The "AI – Sedgwick AI" designation signals a strategic focus on leveraging artificial intelligence, creating an exciting environment for UX professionals looking to impact critical business functions.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level UX Designer, requiring significant autonomy and expertise. It's not just about executing design tasks but leading the UX strategy for a critical product line (Sedgwick AI). The role involves translating complex, cutting-edge technology into usable, valuable tools for operational staff.

Reporting Structure: The UX Designer will likely report to a design leadership role within the technology or innovation department, working closely with product management and engineering teams focused on AI development. This structure allows for both design mentorship and deep collaboration with technical stakeholders.

Operations Impact: The UX Designer will have a direct impact on the efficiency, accuracy, and effectiveness of core Sedgwick operations, particularly in claims processing and risk management. By designing intuitive AI interfaces, they will help streamline complex tasks, reduce manual effort, improve decision-making for adjusters and examiners, and ultimately enhance client satisfaction and operational cost-effectiveness.

Growth Opportunities:

• Specialization in AI UX: Deepen expertise in the rapidly evolving field of AI/ML UX design, becoming a subject matter expert within Sedgwick and the broader industry.

• Lead Design Initiatives: Progress to leading UX design for larger, more complex AI projects or product portfolios, potentially managing other designers.

• Cross-Functional Leadership: Develop stronger leadership skills by influencing product strategy and collaborating with senior stakeholders across engineering, product, and operations.

• Mentorship: Opportunity to mentor junior UX designers and contribute to the growth of the design team.

• Industry Influence: Potential to contribute to thought leadership in AI UX through internal knowledge sharing or external speaking engagements/publications.

📝 Enhancement Note: The role offers a significant opportunity for career growth, particularly for those interested in the intersection of AI and enterprise UX. The emphasis on leading UX for a strategic initiative like Sedgwick AI positions the individual for advancement into more senior design or product leadership roles within the company.

🌐 Work Environment

Office Type: This role is designated as "Telecommuter TN," indicating a remote-first or remote-friendly work environment, with the possibility of occasional in-person meetings or events, especially if based in or near a Sedgwick hub. The company's commitment to remote work for specific states suggests a modern approach to workforce management.

Office Location(s): While the primary posting is "Telecommuter TN," the locations_derived and regions_derived list Arkansas, Louisiana, and Nebraska as potential remote work locations. This implies that candidates residing in these states may also be considered for this remote position.

Workspace Context:

• Home Office Environment: As a remote role, the primary workspace will be a home office, requiring self-discipline and effective time management.

• Digital Collaboration Tools: Expect extensive use of digital collaboration tools (e.g., Slack, Microsoft Teams, Zoom, Miro, Figma) for communication, brainstorming, and design reviews.

• Access to Technology: Sedgwick will likely provide necessary hardware and software, or a stipend to cover home office setup, to ensure productivity. The design team will have access to advanced design software and collaboration platforms.

Work Schedule:

• Standard full-time hours (approximately 40 hours per week) are expected. While remote work offers flexibility, adherence to business hours for team synchronization, meetings, and collaborative sessions is necessary. The company culture emphasizes work-life balance, encouraging employees to manage their schedules effectively.

📝 Enhancement Note: The "Telecommuter TN" designation, combined with the derived locations, indicates a flexible remote work policy. Candidates should confirm the exact remote work eligibility for their specific location. The emphasis on digital collaboration tools is standard for remote roles and crucial for effective UX teamwork.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, focusing on experience with enterprise software, AI/ML design, and portfolio relevance.

• Portfolio Presentation & Technical Interview: Candidates will typically present their portfolio, walking through 1-2 key projects that demonstrate their skills in AI UX design, user research, and problem-solving. This will be followed by technical questions related to UX methodologies, design principles, and AI interface challenges.

• Hiring Manager Interview: A deeper dive into experience, approach to design challenges, collaboration style, and cultural fit with the Sedgwick AI team.

• Team/Stakeholder Interviews: Meetings with potential peers (other designers, engineers, product managers) to assess collaboration skills and alignment with team dynamics.

• Final Interview: May involve a senior leader or executive for final approval.

Portfolio Review Tips:

• Focus on AI & Workflow: Prioritize projects that heavily feature AI/ML components, complex workflow design, or enterprise software. Clearly articulate the problem, your role, the process, the solution, and the impact.

• Showcase Research & Iteration: Detail your user research process, how you synthesized findings, and how iterative design based on feedback led to improved outcomes.

• Quantify Impact: Where possible, use data and metrics to demonstrate the success of your designs (e.g., reduced task completion time, increased user satisfaction, improved accuracy).

• Explain Your Choices: Be prepared to articulate the rationale behind your design decisions, especially concerning complex AI interactions and human-in-the-loop controls.

• Tailor to Sedgwick: Research Sedgwick's business and the specific challenges of the insurance/claims industry. Frame your projects to show how your skills can address these challenges.

Challenge Preparation:

• AI Scenario Design: Be prepared for a hypothetical design challenge involving an AI feature or workflow. This might involve sketching out user flows, designing key screens, or outlining a research plan.

• Problem-Solving: Expect questions that test your ability to break down complex problems, identify user needs, and propose creative design solutions, particularly in the context of AI.

• Communication: Practice articulating your design thinking clearly and concisely, both verbally and visually, simulating how you would present to stakeholders.

📝 Enhancement Note: The interview process is designed to rigorously assess not only design skills but also the candidate's ability to navigate complex technical challenges, collaborate effectively, and understand the business context of AI in a regulated industry. A strong, relevant portfolio is non-negotiable.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly preferred), Sketch, Adobe XD. Proficiency in at least one is essential.

• Collaboration & Whiteboarding: Miro, Mural, or similar tools for virtual whiteboarding, brainstorming, and user flow mapping.

• Project Management: Familiarity with tools like Jira, Asana, or Trello for tracking design tasks and collaborating within Agile sprints.

Analytics & Reporting:

• User Analytics: Experience with tools like Google Analytics, Amplitude, or Pendo for tracking user behavior and product adoption.

• Data Visualization: Understanding of how to present data and insights, potentially using tools like Tableau or Power BI, to inform design decisions.

CRM & Automation:

• CRM Systems: Familiarity with CRM platforms (e.g., Salesforce) can be beneficial, as AI applications often integrate with or support CRM functionalities.

• Workflow Automation Tools: Understanding of how user interfaces interact with backend automation processes.

📝 Enhancement Note: Proficiency in Figma is increasingly becoming a standard requirement for UX roles, especially in collaborative environments. While direct experience with specific analytics or CRM tools isn't always mandatory, a strong understanding of how UX integrates with these systems is valuable for enterprise roles.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Adoption: A forward-thinking approach to leveraging AI and new technologies to solve business problems and drive efficiency.

• User-Centricity: A deep commitment to understanding and serving the needs of internal users (adjusters, examiners) and external clients.

• Collaboration & Teamwork: Emphasis on working effectively across diverse teams (design, engineering, product, operations) to achieve shared goals.

• Data-Driven Decision Making: Utilizing data and user insights to inform design choices and measure the impact of solutions.

• Continuous Improvement: A mindset focused on iterative refinement of processes, products, and user experiences.

Collaboration Style:

• Cross-Functional Integration: Active participation in cross-functional teams, contributing UX perspectives to product strategy and development.

• Open Communication: Encouraging open dialogue, constructive feedback, and transparency in design discussions and decision-making.

• Agile Mindset: Adapting to evolving project requirements, embracing iterative design processes, and working closely with development teams in sprints.

• Knowledge Sharing: A culture that promotes sharing best practices, design patterns, and learnings within the design team and across the organization.

📝 Enhancement Note: Sedgwick's culture, as evidenced by its awards and certifications, likely emphasizes care, collaboration, and a commitment to employees and clients. The "Sedgwick AI" initiative suggests an added layer of innovation and technological advancement, creating a dynamic work environment that balances established corporate values with a drive for future-forward solutions.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complex AI: Translating intricate AI capabilities (e.g., LLM reasoning, agentic behavior, confidence scores) into user-friendly and trustworthy interfaces.

• Human-AI Collaboration Balance: Creating effective user experiences that leverage AI automation while ensuring appropriate human oversight, control, and intervention points.

• User Adoption & Change Management: Overcoming potential resistance to new AI technologies among operational staff and ensuring smooth adoption through intuitive design and supporting documentation.

• Data Privacy & Ethics: Designing AI interfaces that are compliant with data privacy regulations and uphold ethical AI principles.

• Integration with Legacy Systems: Potentially integrating new AI features with existing, perhaps older, enterprise systems, requiring careful consideration of user experience consistency.

Learning & Development Opportunities:

• AI UX Specialization: Immersion in the cutting edge of AI UX design, gaining specialized skills highly sought after in the market.

• Industry Domain Expertise: Deepening knowledge of the insurance and claims management industry, understanding its unique operational challenges and regulatory landscape.

• Design System Mastery: Contributing to and evolving a mature design system for AI applications.

• Cross-Disciplinary Learning: Opportunities to learn from AI engineers, data scientists, and product managers, broadening understanding of AI development and product strategy.

• Mentorship & Leadership: Potential to mentor junior designers and grow into leadership roles within the AI product domain.

📝 Enhancement Note: The challenges presented are typical of roles at the forefront of AI adoption. Successfully navigating these will not only benefit Sedgwick but also significantly enhance the designer's professional toolkit and marketability. The growth opportunities are substantial for someone looking to build a career in AI-focused product design.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design an interface for a complex AI feature. What were the biggest challenges, and how did you address them?" (Focus on your process, problem-solving, and outcomes.)

• "How do you approach balancing automation with human oversight in AI-driven workflows?" (Discuss human-in-the-loop concepts, control mechanisms, and user trust.)

Company & Culture Questions:

• "What interests you most about Sedgwick and our AI initiatives?" (Research Sedgwick's mission, values, and recent AI announcements.)

• "How do you approach collaborating with engineers and product managers on AI projects?" (Highlight your communication skills, ability to translate between disciplines, and iterative approach.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your specific role and contributions, the design process (research, ideation, iteration), the final solution, and the measurable impact.

• Highlight AI & Workflow: Emphasize projects that showcase your experience with AI, LLMs, automation, or complex workflow design.

• Explain Design Decisions: Be ready to justify every design choice, especially concerning UI patterns for AI outputs, error handling, and user feedback mechanisms.

• Be Prepared for Q&A: Anticipate questions about your design choices, challenges faced, and how you would handle specific scenarios related to AI UX.

📝 Enhancement Note: Interview preparation should heavily lean into demonstrating an understanding of AI's practical application in enterprise settings, particularly within the insurance domain. Candidates should be ready to speak confidently about user research, AI explainability, and the iterative design process.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link: https://sedgwick.wd1.myworkdayjobs.com/Sedgwick/job/Telecommuter-TN/UX-Designer---Sedgwick-AI_R71454

• Tailor Your Resume: Highlight keywords and experiences directly related to UX design for AI, LLMs, workflow automation, enterprise software, and user research. Quantify achievements wherever possible.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your AI UX design capabilities, focusing on complexity, impact, and your role in the process. Ensure clear documentation of your research and design iterations.

• Prepare Your Narrative: Practice presenting your portfolio projects, focusing on telling a compelling story about the problem, your solution, and the results. Be ready to articulate your design rationale clearly and concisely.

• Research Sedgwick AI: Understand Sedgwick's business, their focus on AI, and the challenges within the insurance and claims industry. This will help you tailor your application and responses during the interview process.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.