Senior UX Designer - IC
📍 Job Overview
Job Title: Senior UX Designer - IC
Company: UnitedHealth Group
Location: Gurgaon, Haryana, India
Job Type: Full-time
Category: User Experience (UX) Design / Product Design (with a focus on AI/Generative AI)
Date Posted: 2026-06-18
Experience Level: Mid-Senior Level (5-10 years)
Remote Status: On-site
🚀 Role Summary
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Lead the design and development of cutting-edge Generative AI and Ask AI experiences, focusing on intuitive interaction models and robust user journeys.
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Drive the end-to-end user experience for conversational AI interfaces, including surrounding UI elements, task panels, and summary views.
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Define and implement trust and transparency mechanisms within AI interactions, ensuring users understand AI capabilities and limitations.
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Manage and mentor a team of AI-focused UX designers, fostering a culture of innovation, collaboration, and responsible AI practices.
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Collaborate closely with Product Managers, Engineering, and Conversational Designers to translate complex AI functionalities into scalable and user-friendly designs.
📝 Enhancement Note: This role is specifically focused on AI-driven user experiences, a rapidly evolving area within UX design. The emphasis on "Ask AI" and "Generative AI" suggests a need for designers who can conceptualize and design interactions for large language models (LLMs) and similar AI technologies. The "IC" in the title typically means Individual Contributor, but the description clearly states people management responsibilities, indicating a hybrid "Individual Contributor with Leadership" role, common for senior positions managing teams.
📈 Primary Responsibilities
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AI Experience & Interaction Design:
- Design Generative AI chat and Ask AI interfaces from an interaction and UX systems perspective.
- Own the complete UI and experience layer for chat, encompassing task panels, summaries, follow-ups, action bars, results views, history, and controls.
- Define AI agent behaviors, capabilities, and boundaries within the UX, ensuring users maintain control and understanding.
- Translate conversational strategies into scalable UX patterns, clear affordances, and actionable response formats (e.g., cards, checklists, tables).
- Design and implement trust and transparency mechanisms, including explainability cues, citations, confidence indicators, limits, safety constraints, and feedback pathways.
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Systems Thinking & End-to-end Journeys:
- Create comprehensive end-to-end AI user journeys and interaction models for chat-first and hybrid UI patterns.
- Model various states and contingencies, including uncertainty, partial knowledge, hallucination handling, latency, and error/edge states.
- Define handoffs and escalation paths to human agents or other product workflows, designing effective recovery mechanisms.
- Ensure clear mental models for users regarding AI capabilities, limitations, and learning processes.
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Rapid Iteration & Validation:
- Rapidly prototype user flows, states, and components using Figma, collaborating with Engineering for feasibility assessments.
- Validate comprehension, trust, and actionability through usability testing, design reviews, pilots, and lightweight experiments.
- Iterate quickly using analytics, Voice of Customer (VoC) data, support signals, and A/B tests, instrumenting key UX metrics (e.g., task completion, time to value, deflection, satisfaction).
- Balance speed and rigor, determining when high fidelity and depth are required versus when scrappy learning is sufficient.
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Collaboration & Delivery:
- Partner with Conversational Designers to ensure cohesive experiences where UX/UI reinforces conversational intent.
- Work closely with Product and Engineering teams to scope, sequence, and deliver time-sensitive milestones, mitigating ambiguity with clear artifacts and decisions.
- Collaborate with AI/ML teams to understand model behavior, constraints (latency, context windows, accuracy), and design appropriate controls and fallbacks.
- Contribute to roadmaps and release planning, ensuring design dependencies and risks are identified early.
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Responsible & Scalable AI:
- Uphold responsible AI practices, focusing on transparency, user consent, recoverability, human-in-the-loop considerations, and safe defaults.
- Advocate for accessibility (WCAG), inclusive design, and responsiveness across devices and modalities.
- Contribute to AI design systems by creating reusable patterns for prompts, responses, feedback, explainability, and safety messaging, partnering with the core Design System team.
- Design for regulated environments with awareness of privacy, consent, and auditability requirements, aligning with AI governance guidelines.
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People Management & Team Leadership:
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Set clear expectations for quality, pace, and responsible AI design within the team.
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Provide constructive feedback, performance guidance, and career coaching to AI-focused designers.
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Help shape team norms for effective collaboration with Conversational Design and other cross-functional partners.
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📝 Enhancement Note: The responsibilities highlight a strong emphasis on "systems thinking" and "end-to-end journeys," which are critical for complex AI products. The need to balance "speed and rigor" and "rapid iteration" suggests a fast-paced, agile development environment. The inclusion of "Responsible & Scalable AI" indicates the company's commitment to ethical AI development and adherence to regulations, particularly relevant in the healthcare industry.
🎓 Skills & Qualifications
Education:
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While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is typically expected for a Senior UX Designer role. Experience:
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6+ years of progressive experience in UX/Product Design, with a portfolio showcasing shipped work in complex or emerging interaction models.
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2+ years of direct experience with AI-assisted or assistant-like experiences, demonstrating strong systems thinking and data-dense UI or workflow design capabilities.
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2+ years of experience managing and mentoring AI-focused UX designers, providing guidance on design quality, pace, and responsible AI practices.
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Proven experience collaborating closely with Conversational Designers, Product Managers, and Engineers within agile development environments.
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Demonstrated experience in managing or mentoring designers in a leadership capacity. Required Skills:
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Advanced UX/Product Design: Deep expertise in interaction design, information architecture, and user-centered design principles.
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AI/Generative AI Design: Proven ability to design for AI-driven experiences, including chat interfaces, LLM interactions, and agentic workflows.
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Prototyping & Wireframing: High proficiency with Figma for rapid prototyping, creating flows, states, and component-based designs.
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Systems Thinking: Ability to conceptualize and design complex, interconnected systems and user journeys.
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User Research & Validation: Experience utilizing usability testing, A/B testing, analytics, and VoC data for evidence-based iteration.
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Collaboration & Communication: Strong ability to communicate design decisions, trade-offs, and rationale clearly to cross-functional teams and stakeholders.
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Design Systems: Experience contributing to or working with design systems, with a focus on creating reusable patterns.
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Problem Solving: Proven decision-making skills in ambiguous problem spaces, demonstrating confidence in navigating uncertainty.
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Agile Methodologies: Familiarity and experience working within agile development frameworks.
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Accessibility: Understanding and application of accessibility standards, such as WCAG.
Preferred Skills:
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Experience with Generative AI products, specifically chat/assistants, agentic workflows, or tool-use interfaces.
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Experience designing for regulated domains (e.g., healthcare, finance), with an understanding of privacy, consent, and traceability requirements.
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Exposure to multimodal UX (text, voice, images) and cross-surface orchestration.
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Conceptual understanding of LLMs, agent architectures, prompt patterns, tool/function calling, and evaluation/confidence signaling.
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Familiarity with instrumentation and experimentation frameworks (e.g., event taxonomies, A/B tests) to support rapid learning.
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Experience in healthcare or a related regulated industry.
📝 Enhancement Note: The requirement for "2+ years of experience managing and mentoring AI focused UX designers" alongside 6+ years of overall UX design experience solidifies this as a senior leadership role. The emphasis on Figma is a key technical requirement. The "skill development in AI/agentic UX" and "proven decision-making in ambiguous problem spaces" point to the innovative and often undefined nature of AI product development.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Demonstrate AI/Generative AI Design Experience: Showcase at least one significant project involving AI-assisted or Generative AI experiences, highlighting your role in conceptualizing and designing the interaction model, user flows, and key UI components.
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Showcase Systems Thinking: Include projects that illustrate your ability to design complex, end-to-end user journeys, considering various states, contingencies, and integrations with other systems or human workflows.
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Highlight Process & Methodology: Detail your design process, including how you approach ambiguity, conduct user research and validation (qualitative and quantitative), and iterate based on data and feedback.
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Illustrate Collaboration: Provide examples of how you collaborated with product managers, engineers, and conversational designers, emphasizing your ability to translate technical constraints and conversational strategies into effective UX solutions.
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Quantify Impact: Where possible, include metrics demonstrating the impact of your design decisions, such as improvements in task completion rates, user satisfaction, efficiency gains, or adoption of AI features.
Process Documentation:
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Expect to discuss your approach to defining user flows, interaction models, and system states for AI-driven products.
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Be prepared to articulate how you document and communicate design specifications, including prototypes, wireframes, and user journey maps, to engineering and product teams.
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Demonstrate your understanding of how to instrument and measure UX performance for AI features, and how you use this data for continuous improvement.
📝 Enhancement Note: For a role focused on AI and Generative AI, the portfolio should strongly emphasize projects that demonstrate an understanding of conversational interfaces, LLM capabilities, and the unique challenges of designing for AI (e.g., managing user expectations, ensuring trust, handling uncertainty). A strong systems-thinking component is crucial.
💵 Compensation & Benefits
Salary Range:
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Based on industry benchmarks for Senior UX Designers with 5-10 years of experience, particularly those with specialized AI/Generative AI skills and people management experience, in a major metropolitan area like Gurgaon, India, the estimated annual salary range would be approximately ₹18,00,000 to ₹35,00,000 (Indian Rupees). This range can vary based on the candidate's specific qualifications, prior experience, and the negotiation process. Benefits:
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Comprehensive Benefits: This typically includes health insurance, life insurance, retirement savings plans (like Provident Fund), and paid time off.
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Career Development Opportunities: UnitedHealth Group is known for investing in its employees, offering access to training programs, workshops, conferences, and pathways for career advancement within the organization.
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Potential for performance-based bonuses or incentives.
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Opportunities to work on impactful projects that improve health outcomes globally. Working Hours:
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The role is listed as full-time, typically implying a standard 40-hour work week. However, given the fast-paced nature of AI development and the senior level of the role, flexibility may be required to meet project deadlines and collaborate with global teams.
📝 Enhancement Note: Salary estimates are based on market data for senior UX design roles in India, adjusted for the specialized AI/Generative AI focus and leadership responsibilities. UnitedHealth Group's reputation suggests robust benefits packages, particularly for experienced professionals.
🎯 Team & Company Context
🏢 Company Culture
Industry: Healthcare Technology / Health Services. UnitedHealth Group is a diversified healthcare company that leverages technology to improve health outcomes and optimize the healthcare system. This context is crucial as it implies a need for designs that are not only user-friendly but also compliant with healthcare regulations and sensitive to user needs in health-related scenarios.
Company Size: UnitedHealth Group is a very large, global corporation (likely 300,000+ employees). This scale means opportunities for broad impact, access to extensive resources, and a structured corporate environment, but also potential for bureaucracy and longer decision-making cycles.
Founded: 1977. With a long history, UHG has established significant market presence and operational maturity.
Team Structure:
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AI Design Team: This role implies leading a team of specialized AI-focused UX designers. The team likely collaborates closely with Conversational Designers, AI/ML Engineers, Product Managers, and researchers.
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Reporting Structure: The Senior UX Designer/Design Lead would likely report to a Director or VP of Design or Product, overseeing the AI UX strategy and execution.
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Cross-functional Collaboration: Expect extensive collaboration with Product Management, Engineering (especially AI/ML engineers), Conversational Design, and potentially Legal/Compliance teams due to the regulated nature of healthcare and AI.
Methodology:
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Data-Driven Design: Emphasis on using analytics, user research, and A/B testing to inform design decisions and measure impact.
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Agile Development: Projects likely follow agile methodologies, requiring rapid iteration and close partnership with development teams.
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Responsible AI Practices: A strong focus on ethical considerations, transparency, and user safety in AI design.
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Design Systems Approach: Utilizing and contributing to established design systems for consistency and efficiency.
Company Website: https://www.unitedhealthgroup.com/
📝 Enhancement Note: Operating within the healthcare industry at a company of UHG's size means a strong emphasis on compliance, data privacy, and ethical considerations. The AI design work will need to align with these stringent requirements.
📈 Career & Growth Analysis
Operations Career Level: This is a Senior Individual Contributor role with significant leadership responsibilities. It sits at a critical junction between hands-on design and team management. The "IC" designation, combined with leadership duties, suggests a path that values deep technical expertise and mentorship alongside strategic direction.
Reporting Structure: The role will report into a senior design or product leadership position. The incumbent will manage a team of designers, forming a key part of the broader product development organization at Optum/UnitedHealth Group.
Operations Impact: The work directly impacts how millions of users interact with advanced AI technologies to manage their health, access services, and gain insights. This role has the potential to shape the future of healthcare engagement through AI, driving efficiency, improving outcomes, and enhancing user experience on a massive scale.
Growth Opportunities:
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Leadership Advancement: Potential to move into Director-level roles overseeing larger design teams or broader product areas within AI or digital health.
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Specialization Deepening: Opportunity to become a recognized expert in AI UX design, particularly within the complex domain of healthcare.
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Strategic Influence: Contribute to the company's AI strategy and roadmap, influencing product direction and innovation.
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Cross-functional Mobility: Develop strong partnerships across Product, Engineering, and Business units, opening doors to other leadership opportunities.
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Learning & Development: Access to UHG's extensive learning resources for continuous skill enhancement in AI, design leadership, and industry trends.
📝 Enhancement Note: The dual nature of the role (senior individual contributor and people manager) offers a unique growth trajectory. Candidates can either deepen their individual expertise or leverage this experience to move into more formal management or strategic leadership positions.
🌐 Work Environment
Office Type: The role is designated as "On-site," indicating a primary expectation to work from a UnitedHealth Group office location in Gurgaon. This suggests a collaborative environment that values in-person interaction.
Office Location(s): Gurgaon, Haryana, India. This is a major business hub with modern infrastructure, offering accessibility and a dynamic work environment.
Workspace Context:
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Collaborative Environment: Expect a workplace designed for teamwork, with common areas, meeting rooms, and potentially open-plan seating arrangements to facilitate interaction.
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Tools & Technology: Access to standard corporate IT infrastructure, including high-performance workstations, design software licenses (Figma, etc.), and potentially specialized AI development tools.
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Team Interaction: Opportunities for regular face-to-face collaboration with direct reports, peers, and cross-functional teams, fostering a strong sense of team cohesion and shared purpose.
Work Schedule:
- Standard full-time hours (likely 40 hours/week) are expected. However, given the nature of leading AI product development, there may be an expectation for flexibility to accommodate project timelines, urgent issues, or collaboration with teams in different time zones.
📝 Enhancement Note: The "On-site" requirement suggests a preference for in-person collaboration, which can be beneficial for complex design challenges and team cohesion, especially when managing a team and working with highly integrated product development cycles.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: HR or Talent Acquisition will likely conduct an initial screening to assess basic qualifications, experience, and cultural fit.
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Portfolio Review & Design Challenge: Expect a deep dive into your portfolio, focusing on AI/Generative AI projects. You may be asked to present a case study and potentially complete a design challenge that simulates a real-world problem related to AI UX design or team management.
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Hiring Manager Interview: A conversation with the hiring manager to discuss your leadership style, approach to managing designers, experience with ambiguous problem spaces, and strategic thinking.
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Team/Peer Interviews: Interviews with potential peers (e.g., Product Managers, Engineering Leads, other Senior Designers) and possibly direct reports to assess collaboration skills and technical acumen.
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Final Round: Potentially a discussion with senior leadership to evaluate overall strategic alignment and leadership potential.
Portfolio Review Tips:
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Curate Strategically: Select 3-4 of your strongest projects, prioritizing those that demonstrate AI/Generative AI experience, systems thinking, and leadership or mentorship.
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Tell a Story: For each project, clearly articulate the problem, your role, the challenges faced, your design process, the solutions you implemented, and the impact achieved (quantify whenever possible).
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Highlight AI Specifics: Emphasize your approach to designing for AI – how you addressed trust, transparency, user control, and conversational flows.
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Showcase Leadership: If possible, include examples of how you mentored junior designers, influenced team direction, or contributed to design system improvements.
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Prepare for Questions: Be ready to discuss your design rationale, trade-offs made, and how you would approach specific AI UX challenges.
Challenge Preparation:
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Understand AI UX Principles: Refresh your knowledge of best practices for conversational AI, LLM interfaces, prompt engineering basics, and ethical AI design.
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Practice Problem Decomposition: For design challenges, focus on breaking down the problem, identifying key user needs and business goals, and defining scope before jumping into solutions.
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Articulate Trade-offs: Be prepared to discuss the pros and cons of different design approaches and justify your choices based on user needs, technical constraints, and business objectives.
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Focus on Collaboration: If the challenge involves team dynamics, demonstrate your ability to communicate effectively and consider diverse perspectives.
📝 Enhancement Note: The interview process will heavily scrutinize your portfolio for AI-specific experience and leadership capabilities. Preparing a compelling narrative around your past projects and demonstrating a clear understanding of responsible AI principles will be critical.
🛠 Tools & Technology Stack
Primary Tools:
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Figma: Essential for rapid prototyping, wireframing, component design, and collaboration. This is explicitly mentioned as a required skill.
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Prototyping Tools: Beyond Figma, familiarity with other prototyping tools might be beneficial.
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Design Systems: Experience working with or contributing to design systems.
Analytics & Reporting:
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User Analytics Platforms: Familiarity with tools like Google Analytics, Adobe Analytics, or specialized product analytics tools to instrument and track UX metrics.
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A/B Testing Tools: Experience with platforms for conducting experiments and analyzing results to drive iterative improvements.
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User Feedback Tools: Tools for gathering Voice of Customer (VoC) data, surveys, and feedback.
CRM & Automation:
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While not directly a CRM role, understanding how UX designs integrate with broader customer platforms and workflows might be advantageous.
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Familiarity with agile project management tools (e.g., Jira, Confluence) for collaboration with engineering. AI/ML Concepts:
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Conceptual understanding of LLMs, agent architectures, prompt patterns, tool/function calling, and evaluation/confidence signaling. No model building is required, but a working knowledge is highly preferred.
📝 Enhancement Note: Figma is a non-negotiable tool for this role. Proficiency in analytics and experimentation tools is crucial for the "Rapid Iteration & Validation" aspect of the responsibilities. The conceptual understanding of AI/ML is a key differentiator for preferred candidates.
👥 Team Culture & Values
Operations Values:
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Caring: A core value reflecting the company's mission to improve health outcomes and support individuals. For the design team, this translates to empathy for users, especially those navigating health challenges.
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Connecting: Emphasizes collaboration, both within teams and across the organization, to achieve shared goals. Designers are expected to connect user needs with business objectives and technical possibilities.
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Growing Together: Fosters a culture of continuous learning, professional development, and mutual support. Designers are encouraged to grow their skills and help others do the same.
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Data-Driven: Decisions are informed by data and evidence, promoting a rigorous, analytical approach to design.
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Responsible AI: A commitment to ethical, transparent, and user-centric AI development, ensuring safety and fairness.
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Efficiency & Optimization: A drive to streamline processes and improve workflows, both in product design and team operations.
Collaboration Style:
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Cross-functional Integration: Strong emphasis on working collaboratively with Product, Engineering, Conversational Design, and other stakeholders to ensure holistic product development.
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Open Feedback Culture: Encourages constructive feedback exchange to refine designs and improve team processes.
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Knowledge Sharing: Practices that promote sharing insights, best practices, and learnings across the team and the wider organization.
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Experimentation: A willingness to experiment with new approaches and technologies, fostering innovation.
📝 Enhancement Note: The company's stated values ("Caring. Connecting. Growing together.") should be reflected in how candidates approach their work and interactions. Understanding the healthcare context means empathy and ethical considerations are paramount.
⚡ Challenges & Growth Opportunities
Challenges:
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Designing for Ambiguity: Generative AI is a rapidly evolving field, requiring designers to navigate uncertainty, define new interaction paradigms, and adapt quickly to new capabilities.
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Balancing Innovation with Regulation: Designing cutting-edge AI experiences within the highly regulated healthcare industry presents challenges in ensuring compliance, privacy, and ethical use.
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Managing Diverse Stakeholder Needs: Aligning the vision and requirements of Product, Engineering, AI/ML, Conversational Design, and business stakeholders can be complex.
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Scaling AI UX: Developing reusable patterns and design systems for AI that can be applied across various products and use cases while maintaining quality and consistency.
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Leading & Mentoring: Effectively managing and developing a team of specialized AI designers, setting direction, and fostering a high-performing culture.
Learning & Development Opportunities:
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AI UX Specialization: Deepen expertise in emerging AI interaction models, LLM capabilities, and responsible AI design principles.
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Leadership Development: Access UHG's extensive leadership training programs, mentorship opportunities, and pathways for career advancement.
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Industry Exposure: Opportunities to attend industry conferences, workshops, and engage with the broader AI and UX communities.
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Cross-functional Knowledge: Gain deeper insights into healthcare operations, AI/ML technologies, and product strategy.
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Design System Contribution: Play a key role in evolving and governing AI-specific design systems.
📝 Enhancement Note: The primary challenges revolve around the frontier nature of AI design within a regulated industry. Growth opportunities are strong for those looking to excel in AI UX leadership and strategic product development.
💡 Interview Preparation
Strategy Questions:
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"Describe a time you had to design for a highly ambiguous product or technology. How did you approach it, and what was the outcome?" (Focus on your process, decision-making, and ability to navigate uncertainty.)
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"How do you ensure user trust and transparency when designing AI-powered experiences?" (Be ready to discuss specific mechanisms like explainability, confidence indicators, and clear communication of AI capabilities.)
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"Walk us through a complex end-to-end user journey you designed. What were the key states and contingencies you considered?" (Demonstrate your systems thinking and ability to map comprehensive user flows.)
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"How do you balance rapid iteration and user feedback with the need for robust, scalable design solutions in an agile environment?" (Highlight your understanding of speed vs. rigor and data-driven iteration.) Company & Culture Questions:
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"What interests you about working at UnitedHealth Group, particularly within the healthcare and AI space?" (Research UHG's mission, values, and recent AI initiatives. Connect your passion for health and technology.)
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"How do you approach managing and mentoring designers, especially in a specialized field like AI UX?" (Discuss your leadership philosophy, feedback strategies, and commitment to team growth.)
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"Describe your experience collaborating with Product Managers, Engineers, and Conversational Designers. How do you ensure alignment and effective handoffs?" (Emphasize your communication and negotiation skills.)
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"How do you contribute to building and maintaining design systems, especially for emerging technologies like AI?" (Showcase your understanding of scalability, consistency, and governance.) Portfolio Presentation Strategy:
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Start with the "Why": Clearly articulate the business problem or user need your project addressed.
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Define Your Role: Be specific about your contributions, especially in leadership or mentorship if applicable.
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Show, Don't Just Tell: Use visuals (screenshots, prototypes, flows) to illustrate your design solutions.
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Explain Your Process: Walk through your methodology, highlighting key research, ideation, and iteration steps.
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Quantify Impact: Present metrics that demonstrate the success of your designs (e.g., improved engagement, task completion, satisfaction scores).
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Discuss Trade-offs: Be prepared to talk about difficult decisions, compromises, and why you chose certain solutions over others.
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Connect to AI: For AI projects, specifically address how you designed for AI-specific challenges like uncertainty, trust, and conversational flow.
📝 Enhancement Note: Expect questions that probe your ability to handle the unique challenges of AI design in a regulated industry, your leadership style, and your strategic thinking. A well-prepared portfolio presentation that highlights AI experience and impact is crucial.
📌 Application Steps
To apply for this Senior UX Designer - IC position:
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Carefully review the job description and ensure your experience aligns with the requirements, particularly in AI/Generative AI design and people leadership.
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Optimize Your Resume: Tailor your resume to highlight keywords such as "Generative AI," "AI UX Design," "Interaction Design," "Systems Thinking," "Figma," "People Management," "Usability Testing," and relevant industry experience (e.g., healthcare). Quantify your achievements whenever possible.
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Curate Your Portfolio: Select 3-4 of your strongest projects that best showcase your AI design skills, systems thinking, and leadership. Ensure each project clearly outlines the problem, your role, process, solution, and impact. Prepare a narrative for each case study.
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Prepare for the Interview Process: Familiarize yourself with UnitedHealth Group's mission and values. Practice answering common UX and leadership interview questions, particularly those related to AI, ambiguity, and team management. Be ready to present your portfolio with confidence.
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Submit Your Application: Apply through the UnitedHealth Group careers portal. Ensure all required fields are completed accurately.
⚠️ 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.
Application Requirements
Requires over 6 years of UX/Product Design experience, including at least 2 years in AI-assisted systems and 2 years of people management. Proficiency in Figma and a proven track record of designing complex interaction models in ambiguous environments are essential.