Senior UX Designer - IC

📍 Job Overview

Job Title: Senior UX Designer - IC

Company: UnitedHealth Group

Location: Noida, Uttar Pradesh, India / Gurgaon, Haryana, India

Job Type: Full-time

Category: UX Design / AI Product Design

Date Posted: May 27, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Lead the design and implementation of cutting-edge Generative AI and Ask AI experiences, focusing on intuitive interaction models and robust systems thinking.

• Drive the end-to-end user journey design for conversational AI, ensuring seamless integration of chat interfaces with surrounding UI elements and complex workflows.

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

• Collaborate closely with Product Managers, Engineering, and Conversational Designers to translate complex AI capabilities into user-centric and scalable design solutions.

• Champion responsible and ethical AI design principles, including transparency, user consent, and accessibility (WCAG), within a regulated healthcare environment.

📝 Enhancement Note: The role is for a Senior UX Designer with a strong emphasis on AI and leadership. While titled 'IC' (Individual Contributor), the description clearly indicates people management responsibilities, suggesting a lead or principal-level individual contributor role with direct reports or significant team influence. The focus on Generative AI and conversational interfaces positions this as a forward-looking design role within the rapidly evolving AI product space.

📈 Primary Responsibilities

• Design and iterate on Generative AI chat and Ask AI experiences from both an interaction and UX systems perspective, ensuring a cohesive and intuitive user interface.

• Own the design of the surrounding UI and experience layer for chat interfaces, including task panels, summaries, follow-ups, action bars, results views, history, and controls.

• Define and articulate agent behaviors, capabilities, and boundaries within the user experience, ensuring users maintain control and understand AI limitations.

• Translate conversational strategies and dialogue flows into scalable UX patterns, clear affordances, and actionable response formats such as cards, checklists, and tables.

• Design and implement trust and transparency mechanisms, including explainability cues, citations, confidence indicators, safety constraints, and user feedback pathways.

• Create comprehensive end-to-end AI user journeys and interaction models for both chat-first and hybrid UI patterns, considering various states and contingencies.

• Model and design for complex scenarios such as uncertainty, partial knowledge, hallucination handling, latency, and error states, developing robust recovery mechanisms.

• Define clear handoffs and escalation paths to human agents or other product workflows, ensuring seamless transitions and user support.

• Rapidly prototype user flows, states, and components using Figma, collaborating with engineering for feasibility assessments and technical integration.

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

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

• Balance speed and rigor in design processes, understanding when to employ high-fidelity designs versus scrappy, rapid learning approaches.

• Partner effectively with Conversational Designers to ensure a cohesive experience where the UX/UI reinforces conversational intent and tone.

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

• Collaborate with AI/ML teams to understand model behavior, constraints (latency, context windows, accuracy), and design appropriate controls and fallbacks.

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

• Advocate for accessibility (WCAG), inclusive design principles, and responsive design across various devices and modalities.

• Contribute to and evolve AI-specific design systems, developing reusable patterns for prompts, responses, feedback, explainability, and safety messaging.

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

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

• Provide constructive feedback, performance guidance, and career coaching to direct reports and mentees.

• Help shape team norms for effective collaboration, particularly with Conversational Design and AI/ML specialists.

📝 Enhancement Note: The responsibilities are heavily weighted towards designing for complex AI interactions, particularly conversational interfaces. The emphasis on "systems thinking," "end-to-end journeys," and "responsible AI" indicates a need for a designer who can think holistically about how AI integrates into user workflows and broader product ecosystems, especially within a regulated industry like healthcare. The explicit mention of managing designers suggests a dual focus on hands-on design and team leadership.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Psychology, Computer Science, or a related field is typically expected for senior design roles.

Experience:

• 6+ years of progressive experience in UX/Product Design, with a portfolio showcasing shipped work in complex or emerging interaction models.

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

Required Skills:

• Proven expertise in designing Generative AI chat and Ask AI experiences, translating conversational strategies into user-friendly interfaces.

• Strong proficiency in Systems Thinking, with the ability to model complex states, contingencies, and end-to-end user journeys for AI interactions.

• Advanced skills in Interaction Design, Information Architecture, and the application of Design Systems to create scalable and consistent user experiences.

• Demonstrated ability to rapidly prototype using Figma, creating flows, states, and components for iterative design and stakeholder communication.

• Experience in conducting and leveraging Usability Testing and evidence-based iteration (qualitative and quantitative) to refine designs.

• Proven ability to practice clear communication of design decisions, trade-offs, and rationale across cross-functional teams.

• Demonstrated confidence and proficiency in working at speed and making decisions in ambiguous problem spaces.

• Experience collaborating closely with Conversational Designers, Product Managers, and Engineers in agile development environments.

• Familiarity with designing for accessibility standards, including WCAG guidelines.

Preferred Skills:

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

• Exposure to multimodal UX (text, voice, images) and cross-surface orchestration for integrated user experiences.

• Conceptual understanding of Large Language Models (LLMs), agent architectures, prompt patterns, tool/function calling, and evaluation/confidence signaling.

• Familiarity with product instrumentation and experimentation frameworks (e.g., event taxonomies, A/B tests) to support rapid learning and optimization.

• Experience in regulated domains such as healthcare or finance, with a deep awareness of associated privacy, consent, and traceability requirements.

📝 Enhancement Note: The requirements emphasize a blend of deep UX design expertise, specific experience with AI/Generative AI, and proven leadership capabilities. The need for "decision-making in ambiguous problem spaces" and "working at speed" highlights the dynamic nature of AI product development. The explicit mention of managing designers, even within an 'IC' title, is crucial for candidates to recognize the leadership component of the role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 significant projects demonstrating end-to-end UX design, with a strong emphasis on AI-driven products or complex interaction models.

• Include case studies that detail your process from problem identification and user research through to final design solutions and impact metrics.

• Clearly articulate your role and contributions within each project, especially differentiating hands-on design work from leadership or mentorship activities.

• Demonstrate proficiency in designing for complex systems, including user flows, state management, and error handling, particularly in AI contexts.

• Highlight your experience with rapid prototyping and iteration, showcasing how you used feedback and data to refine designs.

Process Documentation:

• For each project, clearly document the design process followed, including research methodologies, ideation techniques, and iteration cycles.

• Illustrate the systems thinking applied to AI interactions, detailing how you mapped out user journeys, defined agent behaviors, and managed complex states.

• Provide examples of artifacts created, such as user flows, wireframes, interactive prototypes (Figma links are ideal), and high-fidelity mockups.

• Detail how you collaborated with cross-functional teams (Product, Engineering, Conversational Design) and how your design artifacts facilitated these collaborations.

• Showcase how you measured the success of your designs, including specific UX metrics related to task completion, user satisfaction, and AI effectiveness.

📝 Enhancement Note: For a role focused on Generative AI and leadership, the portfolio should highlight not just visual design or interaction design skills, but also the ability to tackle ambiguity, lead design thinking, and demonstrate measurable impact in complex, emerging product areas. Case studies that show how the candidate has navigated the unique challenges of AI design (e.g., trust, explainability, managing hallucinations) will be particularly compelling.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX Designers with 5-10 years of experience, particularly those with AI and leadership responsibilities, in major Indian tech hubs like Noida and Gurgaon, the estimated annual salary range is ₹15,00,000 to ₹30,00,000 (Indian Rupees). This range can vary based on the candidate's specific experience, proven impact, and negotiation.

Benefits:

• Comprehensive Benefits Package: This typically includes health insurance (medical, dental, vision), life insurance, and disability coverage.

• Career Development Opportunities: Access to training programs, workshops, conferences, and internal mobility options to foster professional growth.

• Retirement Savings Plans: Contributions to provident funds or other retirement savings schemes as per Indian regulations.

• Paid Time Off: Generous leave policies including annual leave, sick leave, and public holidays.

• Wellness Programs: Initiatives focused on employee well-being, potentially including gym memberships or mental health support.

• Performance Bonuses: Potential for performance-based bonuses.

Working Hours: The standard working hours are typically 40 hours per week, with flexibility often available. As this is an on-site role in India, standard business hours will likely apply, with potential for extended hours during critical project phases.

📝 Enhancement Note: Salary estimates are based on research from Indian job portals and industry salary surveys for senior UX design roles in the specified locations, factoring in the specialized AI and management requirements. Benefits are standard for large multinational corporations operating in India.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology & Services. UnitedHealth Group is a diversified healthcare company that leverages technology and data to improve health outcomes and streamline healthcare delivery. Optum, its technology and data arm, plays a crucial role in this mission.

Company Size: Large Enterprise (over 10,000 employees). This indicates a stable, well-resourced organization with established processes, but also a potentially complex organizational structure.

Founded: 1977. UnitedHealth Group has a long-standing history, suggesting a mature company with deep industry knowledge and experience.

Team Structure:

• The role sits within Optum, likely within a product or innovation division focused on AI and digital health solutions.

• The UX design team is expected to be sizable, encompassing various specializations. This specific role involves leading a sub-team of AI-focused designers.

• Reporting structure will likely be to a Director or VP of Product Design/UX, with direct management responsibilities for a group of designers.

Methodology:

• Data-driven decision-making is a core tenet, utilizing analytics, user research, and feedback to inform design strategies and product development.

• Agile and iterative development methodologies are likely employed, allowing for rapid prototyping, testing, and deployment of new features.

• A strong focus on systems thinking and end-to-end user journey mapping is crucial for integrating complex AI solutions into existing healthcare ecosystems.

• Emphasis on responsible AI practices, ensuring ethical considerations, user privacy, and regulatory compliance are embedded in the design process.

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

📝 Enhancement Note: UnitedHealth Group's scale and focus on healthcare mean that design decisions must balance innovation with rigorous attention to user needs, data privacy, and regulatory compliance. The emphasis on AI within this context suggests that the UX team is at the forefront of leveraging technology to solve complex healthcare challenges.

📈 Career & Growth Analysis

Operations Career Level: This role represents a Senior Individual Contributor (IC) with significant leadership responsibilities. It's a pivotal point for designers looking to blend hands-on AI design expertise with people management. The "IC" designation suggests a focus on deep technical and design leadership rather than pure people management, but the description clearly outlines direct team leadership duties.

Reporting Structure: The Senior UX Designer will report to a higher-level design leader (e.g., Director or VP of UX/Product Design) and will manage a team of AI-focused UX designers. This structure allows for strategic direction from leadership while enabling hands-on team guidance and mentorship.

Operations Impact: The role has a direct impact on the user experience of critical AI products within Optum, influencing how millions of people interact with healthcare information and services. Successful design of these AI experiences can lead to improved health outcomes, increased operational efficiency, and enhanced user satisfaction, contributing significantly to Optum's mission.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI UX design, Generative AI, conversational interfaces, and emerging AI interaction paradigms.

• Leadership Development: Progress into more senior leadership roles, managing larger design teams or leading design strategy for broader product areas.

• Cross-Functional Influence: Expand influence across product, engineering, and AI/ML teams, shaping the strategic direction of AI product development.

• Domain Expertise: Develop specialized knowledge within the healthcare domain, understanding its unique challenges and opportunities for AI-driven solutions.

• Design System Leadership: Contribute to or lead the evolution of design systems, particularly those incorporating AI-specific components and patterns.

📝 Enhancement Note: This role offers a unique blend of individual technical contribution and leadership, making it attractive for experienced designers who want to shape both products and teams. The growth path is clearly defined towards senior leadership and specialized AI design expertise within the healthcare sector.

🌐 Work Environment

Office Type: On-site. This role requires the designer to work from one of UnitedHealth Group's offices in Noida or Gurgaon, India.

Office Location(s):

• Noida, Uttar Pradesh, India

Workspace Context:

• Collaborative Environment: Expect a dynamic office setting that encourages collaboration with product managers, engineers, conversational designers, and fellow UX designers.

• Technology-Rich: Access to industry-standard design tools, prototyping software, and potentially advanced hardware for user testing and research.

• Structured but Fast-Paced: While part of a large enterprise, the AI product development space is inherently fast-paced, requiring adaptability and efficiency.

• Cross-functional Interaction: Daily interaction with diverse teams, fostering a rich learning environment and opportunities for broad project exposure.

Work Schedule: Standard 40-hour work week, likely aligned with Indian business hours (e.g., 9 AM to 6 PM IST). Flexibility may be available, but the on-site requirement means adherence to office operating hours.

📝 Enhancement Note: The on-site nature of the role in a major Indian tech hub suggests a professional office environment with opportunities for in-person collaboration, which is often crucial for complex design projects and team leadership.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: Discussion with the direct hiring manager focusing on leadership experience, AI design philosophy, and team management approach.

• Portfolio Review & Design Challenge: A crucial stage where candidates present their portfolio, showcasing relevant AI/complex interaction design projects. This may be followed by a design exercise or case study presentation to assess problem-solving skills, design process, and ability to handle ambiguity.

• Team/Peer Interviews: Meetings with potential team members (other designers, product managers, engineers) to evaluate collaboration style and technical fit.

• Final Round: Potentially with senior leadership to discuss strategic vision and long-term impact.

Portfolio Review Tips:

• Curate for AI & Leadership: Select projects that specifically highlight your experience with AI, Generative AI, complex interactions, and any leadership or mentorship activities.

• Tell a Story: For each project, clearly articulate the problem, your process, your specific contributions, the challenges faced, and the measurable outcomes. Use the STAR method (Situation, Task, Action, Result).

• Showcase Process: Detail your design thinking, research methods, iteration cycles, and how you used data and user feedback to inform decisions.

• Highlight Systems Thinking: Demonstrate your ability to design for complex systems, user journeys, and edge cases, especially those pertinent to AI.

• Be Ready for Questions: Anticipate questions about your design rationale, trade-offs made, collaboration with engineers and product managers, and how you handle ambiguity and speed.

• Emphasize Responsible AI: If possible, include examples of how you've considered ethical implications and responsible AI principles in your work.

Challenge Preparation:

• Understand AI Nuances: Familiarize yourself with current trends and challenges in Generative AI, conversational design, and AI agentic behaviors.

• Practice Problem Framing: Be prepared to define and reframe problems, especially in ambiguous scenarios.

• Articulate Trade-offs: Practice explaining the pros and cons of different design decisions and how you prioritize solutions.

• Design for Constraints: Consider how you would design under technical, time, or regulatory constraints.

• Prepare for Collaboration Scenarios: Think about how you would collaborate with engineers and product managers on a complex AI feature.

📝 Enhancement Note: The portfolio review is paramount for this role. Candidates should prepare meticulously to showcase their expertise in AI UX design and their ability to lead and mentor. The interview process will likely gauge both technical design skills and leadership potential for managing a specialized AI design team.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Explicitly mentioned as required for rapid prototyping, component-based design, and collaboration. Proficiency is essential.

• Prototyping Tools: Beyond Figma, other tools for interactive prototyping and user flow visualization may be beneficial.

• Design Systems Tools: Experience with or contribution to design systems (e.g., using tools like Storybook, Zeroheight, or internal platforms) will be valuable.

Analytics & Reporting:

• User Analytics Platforms: Familiarity with tools like Google Analytics, Adobe Analytics, or internal product analytics dashboards for tracking UX metrics.

• A/B Testing Tools: Experience with platforms like Optimizely, VWO, or in-house A/B testing frameworks for experimentation.

• Data Visualization Tools: Ability to interpret data from dashboards (e.g., Tableau, Power BI, Looker) to inform design decisions.

CRM & Automation:

• While not directly a CRM role, understanding how user data flows from CRM systems into product experiences can be beneficial.

• Familiarity with tools that facilitate workflow automation and integration between different systems might be relevant for designing end-to-end user journeys.

📝 Enhancement Note: Proficiency in Figma is a non-negotiable requirement. The role also implies a strong need for analytical skills and the ability to work with data to drive design iterations and measure impact, which means familiarity with analytics and experimentation tools is highly advantageous.

👥 Team Culture & Values

Operations Values:

• Caring: A core value of UnitedHealth Group, implying empathy in design, a focus on user well-being, and a commitment to improving health outcomes for all, especially marginalized groups.

• Connecting: Fostering collaboration across teams (UX, Product, Engineering, AI/ML, Conversational Design) to create cohesive and integrated AI experiences. Connecting users with the information and care they need.

• Growing Together: A commitment to continuous learning, professional development, and collective growth as a team and as individuals, particularly in the rapidly evolving field of AI.

• Data-Driven: Decisions are informed by user research, analytics, and evidence, ensuring that designs are effective and impactful.

• User-Centricity: A fundamental principle in design, ensuring that user needs, goals, and pain points are at the forefront of all design decisions.

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

Collaboration Style:

• Cross-functional Partnership: Strong emphasis on close collaboration with Product Management, Engineering, Conversational Designers, and AI/ML specialists to ensure alignment and integrated product development.

• Open Communication: Encouraging transparent feedback, constructive critique, and clear articulation of design rationale and trade-offs.

• Shared Ownership: Fostering a sense of collective responsibility for product success, where design is an integral part of the entire product lifecycle.

• Iterative Feedback Loops: Regularly incorporating feedback from various stakeholders and users to refine designs and ensure optimal user experience.

📝 Enhancement Note: The company's stated values emphasize empathy, continuous improvement, and collaborative growth, which are crucial for a design team working on sensitive healthcare applications powered by AI. The collaboration style is expected to be highly integrated and communicative.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Generative AI is an emerging field, often presenting undefined problems and rapidly evolving capabilities. The designer must be comfortable navigating this ambiguity.

• Balancing Speed and Rigor: The need to iterate quickly in a fast-paced AI environment while maintaining high design quality and user trust.

• Responsible AI Implementation: Ensuring ethical considerations, transparency, user consent, and safety are integrated into AI designs, especially within a regulated healthcare context.

• Managing User Expectations: Designing AI interactions that clearly communicate capabilities and limitations to prevent user frustration or misunderstanding.

• Cross-Functional Alignment: Effectively aligning design vision and technical feasibility with diverse teams (Product, Engineering, AI/ML, Conversational Design).

Learning & Development Opportunities:

• Cutting-Edge AI UX: Deep dive into advanced AI interaction patterns, prompt engineering interfaces, agentic AI behaviors, and multimodal AI experiences.

• Leadership Skill Enhancement: Opportunities to hone people management, coaching, and strategic design leadership skills.

• Healthcare Domain Expertise: Gain in-depth knowledge of healthcare workflows, patient needs, and regulatory requirements, becoming a specialist in AI for health.

• Design System Contribution: Influence and contribute to the development of AI-specific components and patterns within the enterprise design system.

• Industry Exposure: Potential to attend AI and UX conferences, workshops, and training to stay abreast of industry trends.

📝 Enhancement Note: This role presents significant opportunities for professional growth by tackling complex, cutting-edge challenges in AI design within a critical industry. The learning curve will be steep, but the potential for impact and development is substantial.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a highly ambiguous problem space, particularly involving new technology like AI. How did you approach it, and what was the outcome?" (Focus on your process for defining problems, iterating, and making decisions.)

• "How do you balance the need for rapid iteration and speed with the importance of user trust, ethical considerations, and responsible AI design, especially in a regulated domain like healthcare?" (Highlight your understanding of trade-offs and your commitment to ethical design.)

Company & Culture Questions:

• "Based on your understanding of UnitedHealth Group and Optum, how do you see AI design contributing to their mission of improving health outcomes?" (Show research and alignment with company values and goals.)

• "How would you foster a culture of continuous learning and growth within a team of AI-focused UX designers, especially concerning emerging technologies?" (Discuss mentorship, knowledge sharing, and professional development.)

Portfolio Presentation Strategy:

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

• Highlight AI & Systems Thinking: Dedicate time to showcase projects involving AI, complex interactions, or systems-level design. Explain your approach to managing states, user journeys, and AI-specific features like explainability and trust.

• Demonstrate Leadership: If you have managed designers or led projects, explicitly point out instances where you mentored, guided, or influenced team direction.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design decisions, rationale, trade-offs, and how you collaborated with other disciplines.

• Interactive Elements: If possible, use interactive Figma prototypes to showcase flows and user interactions, making your presentation more engaging.

📝 Enhancement Note: Candidates should be prepared to demonstrate not only their design craft but also their strategic thinking, leadership potential, and ability to navigate the unique complexities of AI design within the healthcare industry. A strong understanding of Optum's mission and values will be beneficial.

📌 Application Steps

To apply for this Senior UX Designer - IC position:

• Submit your application through the UnitedHealth Group careers portal.

• Curate Your Operations Portfolio: Select 2-3 of your most relevant projects that showcase your experience in AI-driven design, complex interaction models, systems thinking, and any leadership or mentorship capacities. Ensure these projects clearly articulate your process, contributions, and measurable outcomes.

• Optimize Your Resume for Operations & AI Keywords: Tailor your resume to highlight keywords from the job description, such as "Generative AI," "Interaction Design," "Systems Thinking," "Figma," "People Management," "Responsible AI," and "Healthcare." Quantify achievements whenever possible.

• Prepare Your Portfolio Presentation: Practice walking through your selected portfolio projects, focusing on storytelling, clear articulation of your design process, and demonstrating your ability to handle ambiguity and lead design efforts. Be ready to discuss your rationale and trade-offs.

• Research UnitedHealth Group & Optum: Understand the company's mission, values, and its strategic focus on AI and healthcare innovation. Prepare to discuss how your skills and experience align with their goals, particularly the values of "Caring, Connecting, Growing Together."

⚠️ 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.