Senior UX Designer - IC

📍 Job Overview

Job Title: Senior UX Designer - IC

Company: UnitedHealth Group

Location: Gurgaon, Haryana, India

Job Type: Full-time

Category: UX/Product Design, AI/Generative AI Design, Team Leadership

Date Posted: 2026-08-13

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Lead the design of advanced AI experiences, specifically focusing on Generative AI chat and "Ask AI" functionalities, integrating them seamlessly into user workflows.

• Drive end-to-end user journeys and interaction models for AI-driven products, ensuring intuitive and efficient user interactions.

• Manage and mentor a team of AI-focused UX designers, fostering a culture of innovation, quality, and responsible AI development.

• Collaborate closely with cross-functional teams including Product Managers, Engineers, and Conversational Designers to deliver cohesive and impactful AI solutions.

• Champion responsible AI principles, accessibility, and inclusive design practices throughout the design lifecycle.

📝 Enhancement Note: While the original description focuses heavily on UX design, the inclusion of "leading and managing AI focused designers" and specific responsibilities related to people management elevates this role beyond a Senior individual contributor to a design leadership position within the AI product space. The emphasis on "fast-moving, ambiguous environments" and "hands-on AI UX design with people leadership" suggests a dynamic and challenging leadership role.

📈 Primary Responsibilities

• Design and iterate on Generative AI chat interfaces and "Ask AI" experiences, considering both interaction design and broader UX systems.

• Define and own the surrounding UI elements for chat interactions, including task panels, summaries, action bars, results views, and history controls, ensuring a comprehensive user experience.

• Clearly define AI agent behaviors, capabilities, and operational boundaries within the user interface, empowering users and maintaining their control.

• Translate conversational strategies provided by Conversational Designers into scalable UX patterns, clear affordances, and actionable response formats like cards, checklists, and tables.

• Develop and implement trust and transparency mechanisms, such as explainability cues, citations, confidence indicators, and user feedback pathways, to build user confidence in AI.

• Create detailed end-to-end AI user journeys and interaction models for chat-first and hybrid UI patterns, anticipating and designing for various states and contingencies.

• Model and design for states of uncertainty, partial knowledge, hallucination handling, latency, and error/edge cases to ensure robust AI interactions.

• Define clear handoff and escalation paths to human agents or other product workflows, designing effective recovery mechanisms for AI-driven processes.

• Rapidly prototype AI interaction flows, states, and components using Figma, and collaborate with Engineering teams for feasibility assessments.

• Utilize usability testing, design reviews, pilots, and lightweight experiments to validate comprehension, trust, and actionability of AI designs.

• Drive quick iterations based on analytics, Voice of Customer (VoC) data, support signals, and A/B tests, instrumenting key UX metrics for performance tracking.

• Foster a collaborative environment with Conversational Designers to ensure conversational intent is reinforced by UX/UI design.

• Work closely with Product and Engineering to scope, sequence, and deliver time-sensitive milestones, proactively identifying and mitigating design dependencies and risks.

• Collaborate with AI/ML teams to understand model behaviors, constraints, and design appropriate controls and fallbacks for AI functionalities.

• Contribute to the development and governance of AI design systems, creating reusable patterns for prompts, responses, feedback, explainability, and safety messaging.

• Uphold and advocate for responsible AI practices, including transparency, user consent, recoverability, human-in-the-loop mechanisms, and safe defaults.

• Ensure designs adhere to accessibility standards (WCAG) and promote inclusive design principles across various devices and modalities.

• Design for regulated environments, ensuring compliance with privacy, consent, and auditability requirements, and aligning with AI governance guidelines.

• Provide performance guidance, feedback, and career coaching to direct reports within the AI design team.

• Set clear expectations for design quality, pace, and adherence to responsible AI principles within the team.

📝 Enhancement Note: The responsibilities are extensive and cover both individual design contributions and team leadership. The emphasis on "Systems Thinking & End-to-end Journeys" and "Responsible & Scalable AI" highlights the strategic importance of this role in shaping the future of AI interactions at UnitedHealth Group. The explicit mention of "People Management & Team Leadership" confirms the leadership aspect of the role.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and demonstrated expertise in UX/Product Design are paramount. A degree in Human-Computer Interaction, Design, Computer Science, or a related field is often preferred for such roles.

Experience:

• Minimum of 6 years of progressive experience in UX/Product Design, with a proven track record of shipping complex products or features, particularly those involving emerging interaction models.

• At least 2 years of dedicated experience in designing AI-assisted or assistant-like experiences, demonstrating a strong understanding of systems thinking and data-dense UI/workflow design.

• A minimum of 2 years of experience in a leadership capacity, specifically managing, mentoring, or guiding AI-focused UX designers, including providing performance guidance and career coaching. Required Skills:

• AI Experience & Interaction Design: Deep expertise in designing chat-based AI experiences, Generative AI interfaces, and complex interaction models.

• Systems Thinking: Ability to model complex systems, understand interdependencies, and design end-to-end user journeys.

• Prototyping & Design Tools: High proficiency with Figma for rapid prototyping, creating flows, states, and component-based designs.

• User Research & Validation: Proven experience conducting usability testing, analyzing qualitative and quantitative data, and iterating designs based on evidence.

• Design Systems: Strong understanding and practical application of design systems, including contributing to and leveraging reusable patterns.

• Collaboration: Excellent ability to collaborate effectively with Product Managers, Engineers, Conversational Designers, and AI/ML teams in agile environments.

• Communication: Demonstrated ability to articulate design decisions, tradeoffs, and rationale clearly and persuasively to cross-functional stakeholders.

• Problem-Solving: Proven ability to navigate and make decisions in ambiguous problem spaces, demonstrating confidence and agility.

• Pace & Rigor: Ability to balance speed with thoroughness, knowing when to apply high fidelity versus scrappy learning approaches.

• Responsible AI Principles: Strong advocacy for and understanding of responsible AI practices, including transparency, consent, and safety.

• Accessibility & Inclusive Design: Commitment to designing accessible (WCAG) and inclusive user experiences.

• Agile Methodologies: Experience working within agile development frameworks.

Preferred Skills:

• Generative AI Product Experience: Hands-on experience with Generative AI products, including chat interfaces, agentic workflows, or tool-use interfaces.

• Regulated Domains: Experience designing for regulated industries like healthcare or finance, with an understanding of privacy, consent, and traceability requirements.

• Multimodal UX: Exposure to designing for multimodal interactions (text, voice, images) and cross-surface orchestration.

• Conceptual AI Knowledge: Working knowledge at a conceptual level of LLMs, agent architectures, prompt patterns, function calling, and evaluation/confidence signaling.

• Instrumentation & Experimentation: Familiarity with setting up instrumentation (event taxonomies) and conducting A/B tests to support rapid learning and optimization.

• Healthcare Domain Knowledge: Familiarity with the healthcare industry and its unique user needs and regulatory landscape.

📝 Enhancement Note: The required experience level for AI interaction design and people management is specifically called out. The emphasis on "decision-making in ambiguous problem spaces" and "proven confidence working at speed" highlights the need for a resilient and agile designer. The preferred skills provide a clear roadmap for candidates looking to differentiate themselves.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 complex UX design projects, with at least one prominently featuring AI-assisted or Generative AI experiences.

• For each project, clearly articulate the problem statement, your role and responsibilities, the design process followed, key challenges, and the final outcomes.

• Demonstrate a strong understanding of user-centered design principles, interaction design patterns, and systems thinking applied to solve user problems.

• Highlight your ability to translate user needs and business requirements into intuitive and effective user interfaces and workflows.

• Include examples of how you have collaborated with cross-functional teams (Product, Engineering, Conversational Design) to bring designs to life. Process Documentation:

• For AI-related projects, detail your approach to defining AI agent behaviors, designing trust and transparency mechanisms, and handling AI-specific states (e.g., uncertainty, errors).

• Showcase your process for rapid prototyping and iteration, including the tools used (e.g., Figma) and methods for user validation (e.g., usability testing, A/B testing).

• Present your methodology for creating end-to-end user journeys and interaction models, demonstrating how you account for various scenarios and contingencies.

• Include examples of how you have contributed to or utilized design systems, particularly for AI-specific components or patterns.

• If applicable, demonstrate your experience in designing for regulated environments, including considerations for privacy, consent, and auditability.

📝 Enhancement Note: Given the role's focus on AI and leadership, the portfolio should not only showcase design execution but also strategic thinking, process ownership, and leadership capabilities in an evolving AI landscape. Specific examples of designing for AI limitations and user trust will be crucial.

💵 Compensation & Benefits

Salary Range: Based on the Senior UX Designer title, the experience level (5-10 years), and the leadership responsibilities, combined with the location in Gurgaon, India, a competitive salary range for this role would typically fall between ₹2,000,000 to ₹4,000,000 per annum. This estimate considers industry benchmarks for senior design roles in technology companies in India, with adjustments for specialized AI design expertise and team leadership.

Benefits:

• Comprehensive benefits package, including health insurance, retirement plans, and paid time off.

• Opportunities for career development and continuous learning, supporting professional growth.

• Access to internal training programs and resources for skill enhancement.

• Potential for performance-based bonuses or incentives.

• A supportive work environment with a focus on employee well-being.

Working Hours: Typically 40 hours per week, with flexibility to adapt to project needs and deadlines. Standard working hours in India are generally Monday to Friday, with potential for occasional weekend work during critical project phases.

📝 Enhancement Note: Salary estimation is based on aggregated data from reputable Indian job boards and salary benchmarking sites for senior UX/Product Designers in major tech hubs like Gurgaon. The range accounts for variations in experience within the 5-10 year bracket and the added complexity of AI design and team leadership. Benefits are derived from the explicit mention in the job description and common offerings for senior roles at large corporations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology. UnitedHealth Group, through its Optum division, operates at the intersection of healthcare and technology, aiming to improve health outcomes and streamline healthcare systems globally. This sector demands rigorous standards, a focus on user well-being, and often adherence to strict regulations.

Company Size: Large Enterprise (10,000+ employees). As a large, established organization, UnitedHealth Group offers stability, extensive resources, and opportunities for broad impact. For operations professionals, this means navigating established processes, potential for specialization, and access to a wide array of internal tools and training.

Founded: The company was founded in 1977. With decades of experience, UnitedHealth Group has a deep understanding of the healthcare landscape and a history of innovation, now heavily investing in digital transformation and AI.

Team Structure:

• The role likely sits within a dedicated AI product design team or a broader product design group focused on Optum's digital health initiatives.

• The team structure will involve a reporting line to a Design Director or Head of Product Design, with direct management responsibilities for a small team of AI-focused UX designers.

• Close collaboration is expected with Product Management, Engineering, Conversational Design, AI/ML Research, and potentially Legal/Compliance teams. Methodology:

• Data-Driven Design: Emphasis on using analytics, user feedback (VoC), and A/B testing to inform design decisions and measure impact.

• Agile Development: Work will likely follow agile sprints, requiring rapid iteration, collaboration, and adaptability.

• Systems Design: Focus on creating cohesive, end-to-end user experiences that integrate complex AI functionalities into broader product ecosystems.

• Responsible AI Practices: A core methodology will be the integration of ethical considerations, transparency, and user safety into every stage of the design process.

Company Website: https://www.unitedhealthgroup.com/ and https://www.optum.com/

📝 Enhancement Note: The company's industry (Healthcare) is critical, implying a need for sensitivity to user privacy, data security, and potentially regulated environments. The large company size suggests structured career paths and a robust operational framework.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Senior Individual Contributor (IC) level with a strong emphasis on "Design Lead" responsibilities. It bridges advanced individual design expertise in a cutting-edge field (AI/Generative AI) with people management. This is a key step towards Principal Designer or Design Manager roles.

Reporting Structure: The Senior UX Designer/Design Lead will report to a Director or VP of Design, Product, or Engineering within the Optum technology division. They will directly manage a team of AI-focused UX designers, providing mentorship and performance oversight.

Operations Impact: The role has a significant impact on how users interact with advanced AI technologies, directly influencing user adoption, satisfaction, and the effectiveness of healthcare solutions. By shaping intuitive and trustworthy AI experiences, this role contributes to improved health outcomes and operational efficiency within the healthcare system.

Growth Opportunities:

• Leadership Advancement: Progression to a full Design Manager role, overseeing larger teams and strategic design initiatives.

• Specialization: Deepening expertise in AI/Generative AI UX, becoming a recognized authority in this niche field within the organization.

• Cross-functional Leadership: Opportunities to lead design strategy for larger product portfolios or new AI initiatives.

• Mentorship & Coaching: Developing strong people management and coaching skills, enabling the growth of future design talent.

• Strategic Influence: Contributing to the company's AI strategy and product roadmap, influencing the direction of innovation.

📝 Enhancement Note: The dual nature of the role (senior designer + lead) offers a unique growth trajectory. Candidates can leverage this to either deepen their design expertise in AI or transition into full-time management roles. The "IC" in the title might suggest that hands-on design work remains a significant component, even with leadership duties.

🌐 Work Environment

Office Type: On-site. The role is based in Gurgaon, India, indicating a traditional office environment. This setting typically promotes strong team cohesion, spontaneous collaboration, and direct mentorship opportunities.

Office Location(s): Gurgaon, Haryana, India. This is a major business hub in India, known for its corporate presence, offering good connectivity and access to talent.

Workspace Context:

• Collaborative Hub: The office environment is likely designed to foster collaboration, with open spaces, meeting rooms, and informal areas for brainstorming.

• Technology-Rich: As a technology-focused role, expect access to modern hardware, software, and potentially specialized tools for AI design and prototyping.

• Team Interaction: Opportunities for daily interaction with the design team, as well as frequent touchpoints with Product, Engineering, and other stakeholders, facilitating a dynamic work atmosphere.

Work Schedule: Standard working hours are expected, likely Monday to Friday, with a 40-hour work week. However, given the fast-paced nature of AI development and the leadership responsibilities, flexibility may be required to meet project deadlines and milestones.

📝 Enhancement Note: The "On-site" designation is key. While it offers traditional office benefits, candidates should be prepared for a requirement to be physically present in the Gurgaon office.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, focusing on experience in UX design, AI, and leadership.

• Portfolio Review & Discussion: Candidates will be asked to present their portfolio, highlighting relevant AI design projects, leadership experience, and problem-solving approaches. Expect in-depth questions about design rationale, process, and outcomes.

• Technical/Design Challenge: A practical design exercise may be given, potentially involving an AI interaction scenario, to assess design thinking, problem-solving skills, and ability to work under pressure.

• Team/Stakeholder Interviews: Interviews with potential peers (other designers, PMs, engineers) and leadership to assess cultural fit, collaboration style, and strategic thinking.

• Final Interview: A final discussion with senior leadership to confirm fit for the role and discuss career aspirations.

Portfolio Review Tips:

• Showcase AI Expertise: Prioritize projects demonstrating your understanding of Generative AI, chat interfaces, and complex AI interactions. Quantify impact where possible.

• Highlight Leadership: For projects where you led or mentored others, clearly articulate your management style, how you fostered growth, and the team's collective achievements.

• Detail Your Process: Walk through your design process, emphasizing how you handled ambiguity, iterated based on feedback, and collaborated with different disciplines.

• Address Responsible AI: Be prepared to discuss how you incorporate ethical considerations, transparency, and user safety into your AI designs.

• Storytelling: Frame your projects as compelling narratives that showcase problem identification, solution design, and measurable impact.

Challenge Preparation:

• AI Scenario Analysis: Practice analyzing hypothetical AI design problems, identifying key user needs, potential risks, and design opportunities.

• Prototyping Speed: Be ready to quickly sketch or wireframe solutions, demonstrating your ability to translate ideas into tangible designs.

• Communication Clarity: Practice articulating your design decisions and rationale concisely and persuasively, as you would in a design review or stakeholder meeting.

• Understanding AI Constraints: Brush up on common AI/LLM limitations (latency, context windows, hallucination) and how to design user experiences around them.

📝 Enhancement Note: The emphasis on portfolio review and potential design challenges suggests a strong focus on practical design skills and the ability to articulate design thinking. The leadership aspect will likely be explored through behavioral questions and discussions around past management experiences.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for rapid prototyping, collaborative design, and creating component-based designs. Proficiency is a core requirement.

• Prototyping Tools: Beyond Figma, familiarity with other prototyping tools for different fidelities and use cases may be beneficial.

• Design Systems: Experience with building, maintaining, or heavily utilizing design systems.

Analytics & Reporting:

• Analytics Platforms: Familiarity with tools like Google Analytics, Adobe Analytics, or internal BI tools for tracking user behavior and UX metrics.

• Experimentation Tools: Experience with A/B testing platforms (e.g., Optimizely, LaunchDarkly) and understanding of experimental design.

• Data Visualization Tools: Ability to interpret data visualizations and potentially create dashboards to communicate UX insights.

CRM & Automation:

• CRM Systems: While not directly a CRM role, understanding how user data flows from CRM into AI experiences is valuable.

• Project Management Tools: Proficiency in tools like Jira, Asana, or Trello for agile workflow management and collaboration.

• Collaboration Tools: Standard enterprise collaboration suites like Microsoft Teams or Slack for communication.

📝 Enhancement Note: Figma is explicitly mentioned as a required tool. The emphasis on analytics, experimentation, and data-dense UIs suggests a need for designers who are comfortable working with data to drive design decisions and measure impact.

👥 Team Culture & Values

Operations Values:

• Caring: A commitment to improving health outcomes and well-being for users, reflecting the company's mission.

• Connecting: Fostering collaboration across teams and ensuring seamless integration of AI into user workflows.

• Growing Together: Encouraging continuous learning, skill development, and mutual support within the team.

• Data-Driven: Valuing evidence-based decision-making, using data to validate designs and measure impact.

• Innovation & Agility: Embracing new technologies like Generative AI and adapting quickly to fast-paced environments.

• Responsibility & Ethics: Upholding high standards for responsible AI design, transparency, and user trust.

Collaboration Style:

• Cross-functional Partnership: Strong emphasis on working collaboratively with Product, Engineering, and Conversational Design to create unified experiences.

• Open Communication: Encouraging transparent dialogue, constructive feedback, and shared problem-solving.

• Iterative Approach: A culture that embraces rapid prototyping, testing, and iterative refinement of designs.

• User-Centric Focus: All efforts are geared towards understanding and serving the needs of the end-user, particularly in a healthcare context.

📝 Enhancement Note: The company's slogan "Caring. Connecting. Growing together." provides a direct insight into their core values. The role's focus on AI and collaboration suggests a dynamic, forward-thinking, and team-oriented culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating the rapidly evolving landscape of Generative AI, where best practices are still emerging, and user expectations are dynamic.

• Balancing Hands-on Design with Leadership: Effectively managing direct reports while maintaining a high level of individual design contribution and strategic input.

• Ensuring Responsible AI: Implementing ethical AI practices in a complex domain like healthcare, where user trust and data privacy are paramount.

• Cross-functional Alignment: Aligning diverse stakeholder needs (Product, Engineering, Legal, Conversational Design) around a unified AI design vision.

• Pace of Innovation: Keeping pace with technological advancements in AI and translating them into user-friendly experiences within tight timelines.

Learning & Development Opportunities:

• AI UX Specialization: Deep dive into cutting-edge AI UX patterns, prompt engineering principles, and agentic system design.

• Leadership Development: Access to leadership training, mentorship, and opportunities to hone people management skills.

• Healthcare Domain Expertise: Gaining in-depth knowledge of the healthcare industry, its users, and regulatory landscape.

• Design System Contribution: Opportunity to shape and expand AI-specific components within the broader enterprise design system.

• Industry Exposure: Potential for attending AI and UX conferences, workshops, and training sessions.

📝 Enhancement Note: The challenges are inherent to working with cutting-edge AI technology and managing design teams. The growth opportunities are significant, offering pathways for both deep technical specialization and leadership development.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a Generative AI chat experience for healthcare professionals to help them access patient information, considering privacy and accuracy?"

  • Preparation: Focus on user needs of healthcare professionals, data security, explainability of AI responses, and designing for critical decision-making.

• "Describe a time you had to lead a design team through a period of ambiguity or rapid change. What was your approach, and what was the outcome?"

  • Preparation: Use the STAR method. Highlight your leadership style, communication strategies, and how you fostered resilience and clarity within the team.

• "How do you ensure AI designs are responsible, transparent, and build user trust, especially in a regulated industry like healthcare?"

  • Preparation: Discuss specific design patterns for explainability, confidence indicators, feedback loops, and adherence to ethical guidelines.

Company & Culture Questions:

• "What interests you about UnitedHealth Group and Optum's mission to 'Caring. Connecting. Growing together.'?"

  • Preparation: Research company values and connect them to your personal values and career aspirations. Show genuine interest in the healthcare mission.

• "How do you foster collaboration between UX designers, conversational designers, and engineers when working on AI products?"

  • Preparation: Discuss your experience with cross-functional teams, communication strategies, and tools for alignment.

• "How do you measure the success of an AI-driven user experience, and what metrics would you prioritize for a 'chat first' AI product?"

  • Preparation: Discuss key UX metrics like task completion, time-to-value, user satisfaction, AI accuracy/relevance, and deflection rates.

Portfolio Presentation Strategy:

• AI Project Deep Dive: Select 1-2 AI-focused projects to present in detail. Clearly articulate the problem, your design process, your role in leadership/mentorship, and the measurable impact.

• Demonstrate Systems Thinking: Show how your AI designs fit into a larger product ecosystem and user journey.

• Highlight Leadership: For projects where you managed others, provide specific examples of how you guided their work, provided feedback, and fostered their development.

• Address Challenges & Solutions: Be prepared to discuss challenges encountered (e.g., AI limitations, stakeholder disagreements) and how you overcame them.

• Concise & Clear: Practice delivering your presentation within a set time limit, ensuring clarity and impact.

📝 Enhancement Note: The interview preparation advice focuses on applying core UX principles to the specific challenges of AI design and leadership within a healthcare context. Behavioral questions will likely probe leadership experience and problem-solving abilities.

📌 Application Steps

To apply for this operations position:

• Submit your application through the UnitedHealth Group careers portal via the provided link.

• Tailor Your Resume: Highlight your experience in UX/Product Design, specifically mentioning Generative AI, AI-assisted experiences, interaction design, and any leadership or mentoring roles. Quantify achievements with metrics where possible.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your AI design expertise, systems thinking, and leadership capabilities. Ensure each project clearly outlines the problem, your process, your role, and the outcome.

• Prepare Your Narrative: Be ready to articulate your design philosophy, your approach to leading design teams, and your understanding of responsible AI principles, especially within the healthcare domain.

• Research the Company: Familiarize yourself with UnitedHealth Group's mission, Optum's initiatives, and the company's commitment to innovation and health optimization. Understand their approach to AI and user experience.

⚠️ 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.