UX Designer – Sedgwick AI

📍 Job Overview

Job Title: UX Designer – Sedgwick AI

Company: Sedgwick

Location: Telecommuter TN (Remote OK across multiple US states)

Job Type: Full-time

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

Date Posted: September 16, 2026

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• This role is a senior-level User Experience (UX) Designer focused on shaping intuitive, human-centered AI experiences within Sedgwick's Transformation Office.

• The position involves translating complex artificial intelligence capabilities, including Generative AI, agentic workflows, and LLM-powered tools, into accessible and effective user experiences across enterprise systems and operational workflows.

• The UX AI Designer will partner closely with AI architects, product owners, engineering, data teams, and business stakeholders to ensure AI solutions are practical, trustworthy, explainable, and adopted effectively.

• Key responsibilities include designing conversational and prompt-based interfaces, developing user journeys, conducting user research, and establishing enterprise AI design standards to support large-scale business transformation initiatives.

📝 Enhancement Note: While the job title is UX Designer, the explicit focus on "Sedgwick AI," Generative AI, agentic workflows, and LLM-powered tools, combined with the responsibility for translating complex AI capabilities into user experiences for business transformation, positions this role firmly within the emerging field of AI Experience (AIX) Design or AI-focused Product Design. The emphasis on enterprise systems and operational workflows indicates a strong GTM (Go-To-Market) or internal operations enablement component. The remote flexibility across numerous states suggests a broad talent search for specialized AI design skills.

📈 Primary Responsibilities

• Lead the user experience strategy and design direction for AI-enabled products, tools, platforms, and workflows, ensuring alignment with enterprise transformation objectives and focusing on intuition, accessibility, and scalability.

• Design user experiences for a range of AI technologies, including Generative AI platforms, conversational AI tools, agentic AI systems, copilots, chat-based interfaces, recommendation engines, and workflow automation solutions crucial for complex business processes.

• Collaborate with AI architects, engineers, product owners, business leaders, and end users to translate advanced AI capabilities into practical, user-centered designs that enhance productivity, improve decision-making, and drive operational efficiency across the organization.

• Develop comprehensive UX artifacts such as user journeys, personas, service blueprints, wireframes, prototypes, interaction models, and usability flows to clearly define how colleagues and clients will engage with AI-enabled solutions within their existing systems and workflows.

• Design sophisticated conversational and prompt-based experiences, encompassing user prompts, detailed interaction patterns, response flows, escalation paths, robust feedback loops, and effective human-in-the-loop review mechanisms.

• Apply human-centered design principles with a strong emphasis on transparency, explainability, trustworthiness, and ease of adoption for AI tools, actively working to minimize user friction and promote responsible AI usage.

• Conduct thorough user research, stakeholder interviews, usability testing, journey mapping, and feedback sessions to deeply understand user needs, identify pain points, pinpoint adoption barriers, and uncover opportunities for AI-driven process improvements.

• Partner effectively with data, analytics, engineering, and platform teams to ensure AI experiences are grounded in accurate data, appropriate context, sound design logic, and clear user expectations.

• Support the design of enterprise AI governance features, including consent management, disclosure mechanisms, confidence indicators, explainability interfaces, exception handling workflows, auditability features, and user feedback systems.

• Create and maintain design standards, reusable interaction patterns, and UX best practices specifically for enterprise AI solutions to ensure consistency across various AI products, platforms, and digital experiences.

• Collaborate closely with change management, communications, training, and business readiness teams to facilitate user adoption, enable colleagues, and ensure the effective rollout and integration of AI-enabled tools into daily operations.

• Evaluate the effectiveness of AI experiences through both qualitative and quantitative measures, tracking usability outcomes, adoption metrics, user satisfaction scores, task completion rates, productivity impacts, and feedback trends to inform iterative design improvements.

📝 Enhancement Note: The responsibilities highlight a blend of strategic design leadership and tactical execution. The emphasis on "agentic AI systems," "human-in-the-loop review experiences," and "AI governance" indicates a need for a designer who understands the nuances of complex AI, not just surface-level UI. The mention of "enterprise systems," "operational workflows," and "business transformation" suggests this role will significantly impact internal GTM operations and user enablement.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in User Experience Design, Human-Computer Interaction (HCI), Product Design, Interaction Design, Cognitive Science, Psychology, Computer Science, Information Systems, or a closely related field from an accredited institution is required.

• A Master’s degree in Human-Computer Interaction, Design Strategy, Human Factors, AI Interaction Design, or a similar advanced discipline is strongly preferred, indicating a desire for deep theoretical and practical expertise. Experience:

• Minimum of seven (7) years of progressive experience in user experience design, product design, digital experience strategy, or human-centered design is required.

• At least three (3) of those years must be dedicated to designing or supporting AI-enabled products, enterprise platforms, digital transformation initiatives, conversational interfaces, automation tools, or complex workflow design.

• Experience designing user experiences for Generative AI, conversational AI, copilots, workflow automation, decision-support tools, enterprise software, or data-driven platforms is highly preferred, signaling a need for specialized AI design skills.

• Prior experience working within complex corporate environments, collaborating with cross-functional teams (including product, engineering, data, analytics, security, risk, compliance, operations, and business leadership), is preferred, emphasizing the need for strong stakeholder management.

• An equivalent combination of education and relevant experience may be considered, offering flexibility for candidates with extensive practical experience. Required Skills:

• Advanced proficiency in translating complex AI, data, and technical concepts into clear, intuitive, and user-centered digital experiences.

• Deep expertise in UX design methodologies, including but not limited to user research, journey mapping, service design, wireframing, prototyping, usability testing, accessibility standards, and the application of design systems.

• Demonstrated understanding of human-AI interaction principles, encompassing explainability, trust, transparency, user control, ethical AI use, feedback loops, and human-in-the-loop design considerations.

• Proven experience designing conversational interfaces, chat-based experiences, prompt flows, AI-assisted workflows, decision-support experiences, or intelligent automation tools.

• High proficiency with industry-standard design and collaboration tools such as Figma, FigJam, Miro, Adobe Creative Suite, or comparable platforms.

• Strong understanding of product development lifecycles, agile delivery practices, enterprise technology environments, and cross-functional delivery models.

• Ability to partner effectively and collaboratively with AI architects, data scientists, software engineers, product owners, business stakeholders, and change management teams.

• Excellent communication, facilitation, storytelling, and presentation skills, with a demonstrated ability to influence stakeholders and clearly articulate design decisions and their rationale.

• Capacity to balance competing demands: user needs, business objectives, technical feasibility, governance requirements, and operational constraints.

• Knowledge of accessibility standards (e.g., WCAG) and inclusive design principles to ensure equitable user experiences.

• Proven ability to work effectively in a collaborative team environment.

• Ability to meet or exceed established performance competencies. Preferred Skills:

• Experience with enterprise AI governance frameworks and designing for compliance and ethical AI practices.

• Familiarity with change management principles and supporting user adoption strategies for new technologies.

• Experience in the insurance or financial services industry, understanding related workflows and regulatory environments.

📝 Enhancement Note: The required experience level (7+ years, with 3+ in AI) and the preference for a Master's degree indicate this is a senior or lead-level individual contributor role. The emphasis on "enterprise systems," "operational workflows," and "business transformation" points to a need for candidates who can integrate AI UX design into existing business processes and drive adoption for internal users or client-facing applications that support operations. The "Telecommuter TN" location with broad remote work eligibility suggests a focus on talent acquisition rather than strict geographical constraints, but candidates should be aware of potential state-specific employment regulations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate AI/ML UX Design: Showcase specific projects where you designed user experiences for AI/ML-driven products, features, or workflows (e.g., Generative AI, chatbots, recommendation engines, predictive analytics interfaces). This should highlight your understanding of human-AI interaction.

• Showcase Complex Workflow Design: Provide examples of designing intuitive interfaces for complex business processes or operational workflows, illustrating your ability to simplify intricate tasks and data.

• Illustrate Design Process & Iteration: Detail your design process for at least one AI-related project, including user research, ideation, wireframing, prototyping, and usability testing, with clear evidence of how feedback informed design iterations.

• Highlight System Integration: If possible, include projects that demonstrate experience integrating UX designs within larger enterprise systems or platforms, showing an understanding of technical constraints and cross-system impact.

• Quantify Impact (ROI): For relevant projects, present metrics that demonstrate the positive impact of your designs on user efficiency, adoption, task completion, or business outcomes, ideally related to AI-driven improvements.

Process Documentation:

• User Research & Synthesis: Document your approach to conducting user research for AI products, including methods for understanding user needs, pain points, and mental models related to AI. Showcase how you synthesized this research into actionable design insights.

• Interaction Design for AI: Provide examples of how you designed specific interaction patterns for AI features, such as prompt engineering interfaces, conversational flows, AI response handling, feedback mechanisms, and explainability features.

• Usability Testing & Iteration for AI: Detail your strategy for testing AI-driven interfaces, including challenges specific to AI (e.g., testing unpredictable outputs) and how you iterated on designs based on findings to improve user trust and effectiveness.

• Design System Contribution for AI: If applicable, show how you contributed to or leveraged design systems for AI products, ensuring consistency and scalability of AI UX components.

📝 Enhancement Note: For this senior AI UX role, the portfolio is critical. Candidates must clearly articulate their process for designing AI-driven experiences, not just standard UI. This includes demonstrating how they approached complex problems like explainability, trust, and human-in-the-loop mechanisms. Quantifiable results and case studies that detail the why behind design decisions, especially in the context of AI, will be highly valued.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for a Senior UX Designer with 7+ years of experience, specializing in AI and working remotely across multiple US states, the estimated salary range for this position is $120,000 - $170,000 USD per year. This estimate considers the specialized nature of AI/ML UX design, the senior level of the role, and the broad geographical distribution of remote work eligibility. Actual compensation will depend on the candidate's specific experience, skills, and location within the US, taking into account cost of living variations.

Benefits:

• Work-Life Balance: Sedgwick explicitly highlights a commitment to work-life balance, suggesting supportive policies and a culture that values employee well-being.

• Comprehensive Health Coverage: Typically includes medical, dental, and vision insurance plans.

• Retirement Savings Plan: Often includes a 401(k) or similar plan with potential company matching.

• Paid Time Off (PTO): Includes vacation days, sick leave, and paid holidays.

• Professional Development: Opportunities for continuous learning, training, and skill enhancement, particularly relevant for staying current in the rapidly evolving AI field.

• Employee Assistance Program (EAP): Provides confidential counseling and support services.

• Life and Disability Insurance: Standard coverage options.

Working Hours:

The standard working hours are likely 40 hours per week. Given the remote nature of the role and the "Telecommuter TN" designation with broad state eligibility, there may be flexibility in daily start and end times, provided core business hours for collaboration and meetings are met. The company's commitment to work-life balance suggests an emphasis on results and efficiency rather than strict adherence to time-in-seat.

📝 Enhancement Note: The salary range is an estimate based on industry data for senior UX roles with AI specialization in the US. The provided benefits are typical for large organizations like Sedgwick and are inferred from their stated commitment to employee well-being and general corporate offerings. Candidates should confirm the exact details of compensation and benefits during the interview process.

🎯 Team & Company Context

🏢 Company Culture

Industry: Sedgwick operates within the Business Services sector, specifically focusing on claims management, risk management, and human capital solutions. This industry is undergoing significant digital transformation, with AI playing an increasingly critical role in enhancing efficiency, accuracy, and customer experience within claims processing, fraud detection, and operational management.

Company Size: With over 33,000 colleagues globally, Sedgwick is a large enterprise. This size implies established processes, a structured hierarchy, and potential for significant impact through well-designed systems. For operations professionals, this means opportunities to influence large-scale workflows and collaborate with diverse teams, but also the need to navigate organizational complexity.

Founded: Sedgwick's history dates back to 1969, indicating a stable and experienced organization that is now actively investing in innovation and transformation, as evidenced by the "Sedgwick AI" initiative.

Team Structure:

• Transformation Office: The UX AI Designer will be part of the Transformation Office, suggesting a team dedicated to driving significant organizational change and adopting new technologies. This team likely comprises individuals with expertise in AI, product management, business process re-engineering, and change management.

• Reporting Structure: This role likely reports to a Director or VP within the Transformation Office, overseeing AI product strategy and UX design. The designer will collaborate extensively with peer roles such as AI Architects, Product Owners, Data Scientists, and Engineering Leads.

• Cross-functional Collaboration: The role demands deep collaboration with various departments, including Lines of Business (LoBs) stakeholders, IT/Engineering, Data & Analytics teams, Risk & Compliance, and Change Management/Training. This collaborative environment is crucial for understanding business needs and ensuring successful AI solution adoption.

Methodology:

• Data-Driven Design: The role emphasizes translating AI capabilities and leveraging data to inform design decisions, suggesting a strong analytical and data-informed approach to UX.

• Human-Centered AI: Core to the role is applying human-centered design principles to AI, ensuring that technology serves human needs, is trustworthy, and easy to use. This involves a continuous cycle of research, design, testing, and iteration.

• Agile & Transformation Focus: The context of a Transformation Office implies working within agile or hybrid methodologies to deliver innovative solutions rapidly, focusing on iterative development and continuous improvement to achieve business outcomes.

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

📝 Enhancement Note: Sedgwick's industry focus on claims and risk management means that AI solutions will likely aim to improve efficiency, accuracy, and customer satisfaction in complex, data-intensive processes. The Transformation Office is a key indicator that the company is serious about leveraging AI for strategic advantage. Understanding the core business of Sedgwick will be crucial for a candidate to design effective AI experiences.

📈 Career & Growth Analysis

Operations Career Level: This position is classified as a Senior UX Designer, indicating an advanced individual contributor role. It requires a high degree of autonomy, strategic thinking, and the ability to lead design initiatives without direct supervision. The focus on AI and business transformation suggests a specialized career path within UX, moving towards AIX design leadership, product strategy, or even management roles within innovation or product development.

Reporting Structure: The UX AI Designer will likely report to a senior leader within the Transformation Office, such as a Director of AI Product or Head of UX Strategy. This structure provides visibility to executive leadership and opportunities to influence strategic direction. Collaboration will be extensive with peers in AI Architecture, Data Science, Product Management, and Engineering.

Operations Impact: The role's primary impact will be on operational efficiency, decision-making quality, and user adoption of AI-driven tools across Sedgwick's business units. By designing intuitive and trustworthy AI experiences, this role will directly contribute to improved productivity for colleagues, potentially reduced claims processing times, enhanced risk assessment accuracy, and a better overall user experience for both internal users and clients interacting with AI-enabled services. This role is pivotal in driving the successful adoption and realization of benefits from Sedgwick's AI investments.

Growth Opportunities:

• Specialization in AIX Design: Deepen expertise in designing for emerging AI technologies, becoming a go-to expert for human-AI interaction, responsible AI design, and advanced conversational interfaces.

• Product Strategy & Leadership: Transition into roles with greater product ownership, strategy development, or team leadership within the Transformation Office or broader product development organization.

• Cross-Functional Mobility: Gain exposure to various business units and operational challenges, potentially leading to opportunities in business analysis, product management, or operational consulting roles within Sedgwick.

• Mentorship & Thought Leadership: As a senior member, there will be opportunities to mentor junior designers, contribute to company-wide design standards, and represent Sedgwick's AI UX efforts internally and externally.

📝 Enhancement Note: The "Sedgwick AI" initiative and the senior level of this role suggest that the company is investing heavily in its AI capabilities. Growth opportunities are likely tied to the success of these initiatives and the candidate's ability to demonstrate significant impact. The move from traditional UX to AIX is a significant career trajectory within the industry.

🌐 Work Environment

Office Type: The position is designated as "Telecommuter TN" with broad remote eligibility across many US states, indicating a fully remote work environment. This setup prioritizes flexibility and allows employees to work from their preferred location.

Office Location(s): While the primary designation is "Telecommuter TN," the extensive list of eligible states (AL, AZ, AR, FL, GA, ID, IN, KS, KY, LA, MS, MO, MT, NE, NV, NC, NM, OK, PA, SC, SD, TN, TX, UT, WV, WI, WY) suggests that Sedgwick has a distributed workforce and potentially some physical offices in these regions, though this specific role is remote.

Workspace Context:

• Collaborative Environment: Despite being remote, the role requires significant collaboration. This will likely be facilitated through virtual collaboration tools (e.g., Figma, Miro, Slack, Teams) and structured virtual meetings for design reviews, workshops, and team syncs.

• Operations Tools & Technology: Access to industry-standard design software (Figma, Adobe Suite), prototyping tools, and collaboration platforms is expected. The company's Transformation Office likely provides necessary licenses and support for these tools.

• Team Interaction: Regular interaction with a distributed team of AI architects, product owners, engineers, and other designers will be a key aspect of the daily work. Building strong virtual working relationships will be essential.

Work Schedule: The role is likely full-time, approximately 40 hours per week. As a remote position with a broad geographic distribution of eligible employees, there may be flexibility in daily scheduling, but candidates should be prepared to align with core business hours for team collaboration and stakeholder engagement across different time zones.

📝 Enhancement Note: The fully remote nature and broad geographic eligibility are significant advantages for candidates seeking flexibility. However, success in this environment hinges on strong self-discipline, excellent virtual communication skills, and the ability to build rapport and collaborate effectively through digital means. Understanding how to manage distributed team dynamics will be key.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial screening to assess basic qualifications, experience alignment, and cultural fit. Be prepared to discuss your background in UX design and your specific experience with AI.

• Portfolio Presentation & Technical Interview: This is a critical stage. You will be asked to present a portfolio showcasing your relevant work, particularly AI-related projects. Expect in-depth questions about your design process, decision-making rationale, and how you approach challenges in AI UX design. This may include a live design exercise or case study discussion.

• Cross-functional/Stakeholder Interviews: You will likely meet with key stakeholders, including Product Owners, AI Architects, Engineering Leads, and potentially business leaders. These interviews will assess your ability to collaborate, communicate complex ideas, and understand business objectives.

• Behavioral & Cultural Fit Interview: Questions will focus on your teamwork, problem-solving skills, adaptability, and how you align with Sedgwick's values and the Transformation Office's culture.

• Final Interview: A final discussion with a senior leader to confirm fit and discuss any remaining questions.

Portfolio Review Tips:

• Curate for AI Relevance: Prioritize projects that demonstrate your experience with AI/ML, Generative AI, conversational interfaces, or complex workflow automation. If direct AI experience is limited, highlight projects that show strong analytical thinking, data interpretation, and design for complex systems.

• Tell a Story: For each project, clearly articulate the problem, your role, your design process, the challenges faced, your solutions, and the measurable outcomes. Use visuals (wireframes, prototypes, final UIs) to support your narrative.

• Emphasize Process & Rationale: Clearly explain why you made certain design decisions, especially in the context of AI. Discuss your user research methods, how you addressed user concerns about AI (trust, explainability), and how you iterated based on feedback.

• Quantify Impact: Whenever possible, provide data-driven results. Metrics on user adoption, efficiency gains, task completion rates, or satisfaction improvements are highly valuable.

• Tailor to Sedgwick: Research Sedgwick's business and their AI initiatives. If possible, frame your portfolio examples to resonate with their industry (e.g., insurance claims, risk management) or challenges.

Challenge Preparation:

• AI UX Case Study: Be prepared for a hypothetical scenario where you need to design an AI feature or workflow. Practice outlining your approach, considering user needs, business goals, ethical implications, and technical feasibility.

• Problem-Solving Scenarios: Anticipate questions about how you would handle conflicting stakeholder feedback, design for ambiguity, or troubleshoot a user adoption issue for an AI tool.

• Communication & Articulation: Practice explaining technical concepts (like Generative AI) and your design decisions clearly and concisely to both technical and non-technical audiences.

📝 Enhancement Note: The interview process for a senior AI UX role will be rigorous, with a strong emphasis on the portfolio and the candidate's ability to articulate their strategic thinking and practical application of AI design principles. Expect to demonstrate not just design skills, but also an understanding of AI's potential and limitations.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping:

  • Figma: Highly expected for collaborative design, wireframing, and prototyping. Proficiency is almost a given for modern UX roles.
  • FigJam: Often used in conjunction with Figma for brainstorming, workshops, and user flow mapping.
  • Miro: A popular virtual whiteboard tool for ideation, journey mapping, and collaborative sessions.
  • Adobe Creative Suite (Photoshop, Illustrator): May be used for asset creation or more advanced visual design tasks.

• Collaboration & Communication:

  • Slack/Microsoft Teams: Essential for daily team communication, project updates, and quick discussions.
  • Zoom/Microsoft Teams: For virtual meetings, interviews, and presentations.

• Project Management:

  • Jira/Confluence: Likely used for managing product backlogs, tracking tasks, and documenting project details, especially within agile development environments.

Analytics & Reporting:

• Analytics Platforms (e.g., Google Analytics, Adobe Analytics): While not a primary UX tool, understanding how to interpret user behavior data from these platforms is beneficial for informing design decisions.

• User Feedback Tools (e.g., SurveyMonkey, Typeform, specialized usability testing platforms): Used for gathering qualitative and quantitative feedback from users.

• Data Visualization Tools (e.g., Tableau, Power BI): Basic familiarity can be helpful for understanding dashboards and reports that impact user experience.

CRM & Automation:

• CRM Systems (e.g., Salesforce): Understanding how UX designs integrate with CRM data and workflows is important, especially in enterprise environments.

• Workflow Automation Tools: Familiarity with the concepts and potential UX implications of workflow automation tools will be valuable.

📝 Enhancement Note: Proficiency in Figma and other collaborative digital whiteboarding tools is paramount for this remote role. The ability to leverage analytics and user feedback tools to inform AI UX design is also critical. While direct experience with CRM or automation platforms isn't explicitly required, understanding their role in the broader operational ecosystem will be advantageous.

👥 Team Culture & Values

Operations Values:

• Innovation & Transformation: As part of the Transformation Office, a strong emphasis will be placed on embracing new technologies like AI, driving change, and seeking innovative solutions to business challenges.

• Human-Centered Approach: Sedgwick's stated values often include a focus on caring and people. This translates to ensuring that AI solutions are designed with the end-user's well-being, efficiency, and trust at the forefront.

• Data-Driven Decision Making: The role requires a commitment to using data and user research to inform design choices, ensuring that solutions are effective and meet measurable business objectives.

• Collaboration & Inclusion: Working effectively across diverse teams and fostering an inclusive environment where all perspectives are considered in the design process is crucial.

• Integrity & Responsibility: Particularly relevant for AI design, there will be an expectation to uphold ethical standards, promote transparency, and design for responsible AI use.

Collaboration Style:

• Cross-Functional Partnership: The role thrives on close collaboration with technical teams (AI architects, engineers), product management, business stakeholders, and change management. Open communication and a willingness to understand different perspectives are key.

• Iterative & Feedback-Oriented: The team likely embraces an iterative design process, valuing feedback from peers, stakeholders, and users to refine solutions continuously.

• Knowledge Sharing: Expect a culture where sharing best practices, learnings, and insights, particularly around AI UX, is encouraged to elevate the entire team and organization.

📝 Enhancement Note: The company's emphasis on "caring" and "work-life balance" suggests a supportive culture, while the "Transformation Office" context points to a dynamic, forward-thinking environment. Candidates should demonstrate an ability to balance innovative thinking with a grounded, responsible approach to AI design.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Ambiguity: AI, especially Generative AI, can produce unpredictable outputs. Designing interfaces that manage this ambiguity, provide appropriate context, and build user trust is a significant challenge.

• Balancing Innovation with Enterprise Constraints: Integrating cutting-edge AI UX into established enterprise systems and processes requires navigating technical limitations, security protocols, and organizational inertia.

• Ensuring Responsible and Ethical AI Use: Designing for transparency, explainability, and fairness in AI applications is complex and critical, requiring careful consideration of potential biases and user impact.

• Driving User Adoption of New AI Tools: Overcoming user skepticism, fear, or resistance to AI, and effectively enabling them through intuitive design and clear communication, will be an ongoing challenge.

• Keeping Pace with Rapid AI Advancements: The field of AI is evolving at an unprecedented rate, requiring continuous learning and adaptation of design approaches.

Learning & Development Opportunities:

• Deep Dive into AI/ML Technologies: Gain hands-on experience with various AI models and platforms, deepening understanding of their capabilities and limitations for design.

• Specialization in AIX Design Methodologies: Develop expertise in emerging best practices and frameworks for designing human-AI interactions, conversational interfaces, and agentic systems.

• Industry Conferences & Certifications: Opportunities to attend leading UX and AI conferences, and potentially pursue certifications in AI ethics, design, or related fields.

• Mentorship and Leadership: As a senior role, there will be opportunities to mentor junior designers and contribute to strategic leadership within the UX and AI domains.

• Exposure to Diverse Business Problems: Work on a variety of AI transformation initiatives across different business units, broadening understanding of enterprise operations and strategic challenges.

📝 Enhancement Note: The challenges listed are inherent to pioneering AI UX design within a large enterprise. Candidates who are proactive learners, resilient problem-solvers, and passionate about ethical AI will thrive. The growth opportunities are substantial for those looking to become leaders in the AI experience design space.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing a user experience for a Generative AI tool. How would you ensure it's trustworthy and useful for our business users?" (Focus on research, prompt design, output handling, feedback loops, and explainability.)

• "How do you approach designing for complex operational workflows that will be augmented by AI? What steps do you take to understand current processes and identify opportunities for AI integration?" (Emphasize journey mapping, stakeholder interviews, and identifying AI's value proposition.)

• "Imagine a scenario where users are hesitant or resistant to adopting a new AI-powered tool. How would you design the experience and support its rollout to encourage adoption and build confidence?" (Discuss user education, transparency, clear benefits, and iterative feedback.) Company & Culture Questions:

• "What interests you about Sedgwick and our work in AI transformation?" (Research Sedgwick's mission, values, and recent AI initiatives. Connect your passion for AI UX to their goals.)

• "How do you stay current with the rapidly evolving field of AI and UX design?" (Mention specific resources, publications, communities, or personal projects.)

• "Describe a time you had to collaborate with engineers or data scientists who had a different perspective on a design. How did you navigate that situation?" (Highlight communication, empathy, and finding common ground.) Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of Sedgwick's AI goals and how your experience aligns. Then, present 2-3 key projects that best showcase your AI UX design capabilities, focusing on process and outcomes.

• Deep Dive on AI Projects: For AI-specific projects, clearly explain the AI technology used, the user problem it solved, your specific design contributions (e.g., prompt interface, response display, feedback mechanism), and the measured results.

• Highlight Problem-Solving: Be ready to discuss the challenges encountered in AI design (e.g., bias, explainability, user trust) and how you addressed them through your design solutions.

• Engage and Ask Questions: Prepare thoughtful questions about the team's current AI projects, their design process, challenges, and vision for AI UX at Sedgwick. This demonstrates engagement and strategic thinking.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of AI's complexities and how UX can bridge the gap between advanced technology and user needs within an enterprise context. Candidates should be ready to discuss ethical considerations and responsible AI design principles throughout the process.

📌 Application Steps

To apply for this UX Designer – Sedgwick AI position:

• Submit your application through the provided link on the Sedgwick Workday portal.

• Tailor your resume to highlight your experience in user experience design, product design, AI-enabled products, digital transformation, and any specific AI technologies (Generative AI, conversational AI, etc.). Use keywords from the job description.

• Prepare a strong portfolio that specifically showcases your AI/ML UX design projects, complex workflow design, and your design process. Ensure it clearly demonstrates your ability to translate complex AI capabilities into intuitive user experiences.

• Craft a compelling cover letter (if optional) that articulates your interest in Sedgwick, your passion for AI UX design, and how your unique skills and experience align with the role's requirements and the company's transformation goals.

• Research Sedgwick thoroughly, understanding their business in claims management, risk services, and their stated commitment to innovation and employee well-being. This will help you tailor your application and prepare for interview questions.

⚠️ 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.