Senior UX Designer - AI - IC

📍 Job Overview

Job Title: Senior UX Designer - AI - IC

Company: UnitedHealth Group

Location: India

Job Type: Full-time

Category: User Experience (UX) Design / AI Product Design

Date Posted: 2026-02-18

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Design and own the end-to-end user experience for cutting-edge Generative AI and Ask AI products, focusing on chat-centric and multimodal interactions.

• Translate complex conversation strategies into intuitive UX patterns, UIs, and agent behaviors that build user trust and actionability.

• Collaborate closely with cross-functional teams including Product Managers, Engineers, AI/ML specialists, and Conversational Designers to rapidly iterate and deliver impactful AI solutions.

• Drive rapid prototyping, validation, and iteration using user feedback, analytics, and A/B testing to ensure comprehension, trust, and efficiency in AI interactions.

• Champion responsible AI principles, accessibility, and inclusive design practices within the AI product development lifecycle.

📝 Enhancement Note: This role is specifically focused on the interface and interaction design aspects of AI, distinct from conversational scriptwriting. The emphasis is on translating AI capabilities and conversational strategies into user-friendly and trustworthy experiences, requiring a strong systems-thinking approach to AI product development.

📈 Primary Responsibilities

• AI Experience & Interaction Design:

  • Design Generative AI chat and Ask AI experiences from an interaction and UX systems perspective.
  • Own the surrounding UI and experience layer for chat, including task panels, summaries, follow-ups, action bars, results views, history, and controls.
  • Define agent behaviors, capabilities, and boundaries within the UX to ensure users remain in control and understand AI's role.
  • Translate conversation strategies into scalable UX patterns, clear affordances, and actionable response formats (e.g., cards, checklists, tables).
  • Design trust and transparency mechanisms such as explainability cues, citations, confidence indicators, and feedback pathways.

• Systems Thinking & End-to-End Journeys:

  • Create 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 states.
  • Define handoffs and escalation paths to human agents or other product workflows, alongside designing recovery mechanisms.
  • Ensure clear mental models for users regarding the AI's capabilities, limitations, and learning processes.

• Rapid Iteration & Validation:

  • Rapidly prototype in Figma (flows, states, components) and collaborate with Engineering for feasibility checks.
  • Utilize usability testing, design reviews, pilots, and lightweight experiments to validate comprehension, trust, and actionability.
  • Iterate quickly using analytics, Voice of Customer (VoC) feedback, support signals, and A/B tests, instrumenting key UX metrics.
  • Balance speed and rigor, determining when high fidelity and depth are necessary versus scrappy learning approaches.

• Collaboration & Delivery:

  • Partner with Conversational Designers to ensure cohesive experiences where UX/UI reinforces conversational intent.
  • Work closely with Product and Engineering to scope, sequence, and deliver time-sensitive milestones, removing ambiguity with clear artifacts.
  • Collaborate with AI/ML teams to understand model behavior, constraints, and design appropriate controls and fallbacks.
  • Contribute to roadmaps and release planning, ensuring design dependencies and risks are visible early.

• Responsible & Scalable AI:

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

  • Advocate for accessibility (WCAG) and inclusive design across devices and modalities.

  • Contribute to AI design systems by defining reusable patterns for prompts, responses, feedback, and safety messaging.

  • Design for regulated environments (privacy, consent, auditability) and align with AI governance guidelines.

📝 Enhancement Note: The responsibilities emphasize a deep understanding of AI's unique interaction challenges, such as managing user expectations around AI capabilities, ensuring transparency, and designing for potential AI errors or limitations. The "Systems Thinking" aspect is crucial for mapping out complex, non-linear AI interactions.

🎓 Skills & Qualifications

Education: Not specified, but a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is typically expected for senior roles.

Experience:

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

• 2+ years of experience specifically working with AI-assisted or assistant-like experiences, demonstrating systems thinking and data-dense UI or workflow design.

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

Required Skills:

• Advanced proficiency in UX/Product Design principles and methodologies.

• Expertise in AI Experience & Interaction Design, with a focus on chat and generative AI interfaces.

• Strong Systems Thinking capabilities to model complex AI interactions and user journeys.

• Proficiency with Figma for rapid prototyping, wireframing, and component-based design.

• Demonstrated strength in interaction design, information architecture, and the creation or utilization of design systems.

• Practical experience with usability testing and evidence-based iteration using both qualitative and quantitative data.

• Ability to clearly communicate design decisions, trade-offs, and rationale across diverse functional teams.

Preferred Skills:

• Experience with Generative AI products, specifically chat/assistants, agentic workflows, or tool-use interfaces.

• Experience in regulated domains like healthcare or finance, with an understanding of privacy, consent, and traceability requirements.

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

• Working knowledge (at a conceptual designer level) of LLMs, agent architectures, prompt patterns, function calling, and evaluation/confidence signaling.

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

• Experience contributing to or developing AI-specific design systems.

📝 Enhancement Note: The requirement for 2+ years specifically in AI-assisted experiences highlights the specialized nature of this role. The blend of core UX skills with AI-specific knowledge, especially conceptual understanding of LLMs and agent architectures, is critical. The mention of "Manager" under required qualifications may indicate potential for team leadership or mentorship, typical for senior roles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase 2-3 complex AI-driven product experiences where you owned the end-to-end UX.

• Include case studies demonstrating your process for designing chat-centric and multimodal AI interactions.

• Highlight your ability to translate abstract conversation strategies into concrete UI patterns and interaction models.

• Provide examples of how you designed for trust, transparency, and user control in AI applications.

Process Documentation:

• Detail your process for rapid prototyping and iterative design using tools like Figma.

• Explain how you conducted usability testing and leveraged qualitative/quantitative data to validate and refine AI experiences.

• Illustrate your collaboration process with Product, Engineering, and Conversational Designers, including artifact creation and communication methods.

• Showcase how you incorporated responsible AI principles and accessibility standards into your design workflow.

• Provide examples of how you designed for error states, uncertainty, and AI limitations, along with recovery mechanisms.

📝 Enhancement Note: For a role focused on AI and Generative AI, the portfolio should strongly emphasize projects involving conversational interfaces, AI assistants, or systems where AI plays a significant role in user workflows. Demonstrating the ability to handle ambiguity and rapidly evolving technology through a structured design process is key.

💵 Compensation & Benefits

Salary Range: Based on the Senior UX Designer title, 6+ years of experience, and the specialized AI focus within a large organization like UnitedHealth Group in India, the estimated salary range would be ₹15,00,000 to ₹30,00,000 per annum. This range can vary significantly based on specific location within India, the candidate's precise experience, and negotiation.

Benefits:

• Comprehensive health insurance and medical benefits, aligning with UnitedHealth Group's core business.

• Retirement savings plans and employee stock purchase options.

• Paid time off, including vacation, sick leave, and public holidays.

• Professional development opportunities, including training, conferences, and access to learning platforms.

• Potential for performance-based bonuses and incentives.

• Employee assistance programs for well-being and mental health support.

• Opportunities to work with cutting-edge AI technology and contribute to significant health-tech advancements.

Working Hours: The role is listed with 40 working hours per week, typical for a full-time position. However, given the fast-paced and time-sensitive nature of AI product development, there may be occasional requirements for extended hours or flexible scheduling to meet project deadlines.

📝 Enhancement Note: Salary estimates are based on general market data for Senior UX Designers in India, adjusted for the specialized AI domain and the established reputation of a large corporation like UnitedHealth Group. Specific benefits packages are standard for large tech/healthcare organizations but should be confirmed with the employer.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology / Health Services. UnitedHealth Group is a diversified healthcare company, with its Optum division focusing on technology, data, and services to improve health outcomes and optimize the healthcare system. This industry context means a strong emphasis on patient well-being, data privacy, regulatory compliance, and innovation in health solutions.

Company Size: UnitedHealth Group is a very large, multinational corporation, employing well over 300,000 individuals globally. This scale implies a robust organizational structure, extensive resources, and potential for diverse career paths, but also a need for clear processes and effective navigation of larger teams.

Founded: UnitedHealth Group was founded in 1977. This long history suggests stability, established practices, and a deep understanding of the healthcare landscape, while Optum, as its technology and services arm, represents its forward-looking approach to leveraging innovation.

Team Structure:

• The role sits within a specialized AI product team, likely part of the broader Optum technology or product development organization.

• This team will be highly cross-functional, comprising UX Designers, Conversational Designers, Product Managers, AI/ML Engineers, and Software Engineers.

• Reporting structure for a Senior UX Designer typically involves reporting to a UX Lead, Design Manager, or Director of Product Design, with direct collaboration across various product and engineering verticals.

Methodology:

• Design and development will likely follow an Agile or Lean methodology, emphasizing rapid iteration, continuous feedback, and incremental delivery.

• Data analysis and user research will be core to the design process, driving decisions for AI interaction models and feature prioritization.

• Workflow planning and optimization will focus on creating efficient and intuitive pathways for users interacting with AI, ensuring a seamless experience.

• The team will leverage automation for development and testing where possible, and focus on efficiency practices to keep pace with the rapidly evolving AI landscape.

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

📝 Enhancement Note: The company's mission in healthcare is a significant cultural driver. Operations professionals in this environment need to be mindful of ethical considerations, user privacy, and the impact of their work on real people's health. The large company size offers stability and resources but may require adaptability to established processes.

📈 Career & Growth Analysis

Operations Career Level: This is a "Senior" individual contributor (IC) role, indicating a high level of expertise and autonomy. The "IC" designation means the primary focus is on design execution and strategic contribution rather than people management, although mentorship is expected. In the context of AI product design, this level signifies expertise in navigating complex, emerging interaction paradigms and a proven track record of shipping impactful products.

Reporting Structure: The Senior UX Designer will report to a design leadership role (e.g., Design Manager, Lead UX Designer) within the Optum product or technology division. They will work very closely with Product Managers and Engineering Leads, acting as a key design voice in product strategy and execution. Collaboration will extend to AI/ML specialists and Conversational Designers, forming a core product development pod.

Operations Impact: The impact of this role is direct and significant. By designing intuitive and trustworthy AI experiences, the Senior UX Designer will influence how millions of users access and benefit from Optum's health optimization services. This includes improving user engagement, task completion rates, satisfaction with AI interactions, and ultimately, contributing to better health outcomes and operational efficiency for the organization. The role is pivotal in making complex AI technologies accessible and actionable for everyday users within the healthcare domain.

Growth Opportunities:

• Specialization: Deepen expertise in AI/Generative AI UX design, becoming a go-to specialist within UnitedHealth Group.

• Leadership: Transition into Design Lead or Management roles, overseeing design strategy and mentoring teams.

• Cross-Functional Mobility: Move into related roles such as Product Management, AI Strategy, or Senior/Principal UX Design focusing on broader product areas.

• Industry Influence: Contribute to the evolving field of AI UX through presentations, publications, or participation in industry forums.

• Learning & Development: Access to extensive internal training programs, external conferences, and opportunities to work with diverse AI technologies and healthcare challenges.

📝 Enhancement Note: The "IC" designation is important for candidates. While senior, it doesn't imply direct people management responsibilities initially, but rather deep expertise and strategic input. The growth path highlights specialization in a high-demand field (AI UX) within a stable industry.

🌐 Work Environment

Office Type: The role is designated as "On-site" in India, suggesting a traditional office-based work environment. This implies a collaborative workspace designed for in-person interaction, team meetings, and access to company resources.

Office Location(s): While the specific city is not mentioned, UnitedHealth Group has significant operations and technology centers across India. Candidates should expect to work from one of their established office locations.

Workspace Context:

• The workspace will likely be a modern office environment fostering collaboration, with dedicated areas for team brainstorming, design reviews, and focused work.

• Access to company-provided hardware, software, and potentially specialized tools for AI/ML prototyping or visualization will be available.

• Opportunities for spontaneous collaboration with colleagues from various disciplines (Product, Engineering, AI/ML, Conversational Design) will be frequent due to the close-knit team structure.

• The environment is expected to be dynamic, fast-paced, and driven by innovation, particularly in the AI space.

Work Schedule: The standard work schedule is 40 hours per week, typical for a full-time role. However, project timelines in AI development can be demanding, potentially requiring flexibility in hours to meet critical deadlines or participate in global team syncs if applicable.

📝 Enhancement Note: The "On-site" designation is a key factor for candidates. While it offers direct collaboration benefits, it requires a willingness to work from a physical office location. The environment is described as dynamic and fast-paced, typical for roles involving cutting-edge technology.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, assessing alignment with the core requirements.

• Portfolio Review: Candidates will likely be asked to present their portfolio, focusing on relevant AI/UX projects. Be prepared to discuss your process, decision-making, and impact.

• Technical/Design Interviews: Expect interviews with design peers and leads to assess your UX craft, systems thinking, and AI interaction design skills. This may involve whiteboard exercises or design challenges.

• Cross-Functional Interviews: Interviews with Product Managers, Engineering Leads, and potentially AI/ML specialists to evaluate collaboration skills, understanding of technical constraints, and ability to work in a fast-paced, agile environment.

• Hiring Manager Interview: A final discussion with the hiring manager to assess cultural fit, career aspirations, and overall suitability for the senior role.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your strongest projects that best showcase your experience with AI, chat interfaces, complex interactions, and systems thinking.

• Focus on Process & Impact: For each project, clearly articulate the problem, your role, your design process, key decisions and trade-offs, and the measurable impact or outcomes. Use clear visuals.

• Highlight AI Specifics: Emphasize how you handled AI's unique challenges (e.g., ambiguity, transparency, user control, hallucinations) and how your designs translated conversational strategies into effective UX.

• Demonstrate Collaboration: Provide examples of how you partnered with Conversational Designers, Engineers, and Product Managers.

• Be Ready for Deep Dives: Anticipate detailed questions about your Figma work, prototyping methods, and usability testing approaches.

Challenge Preparation:

• Design Challenge: You may be given a hypothetical AI product design problem to solve within a limited timeframe. Focus on your problem-solving approach, user-centricity, and ability to articulate your rationale.

• System Design Thinking: Be prepared to discuss how you would design an end-to-end AI user journey, considering various states, error handling, and escalations.

• AI Concepts: Brush up on key Generative AI concepts (LLMs, prompts, agent capabilities) and how they translate into UX considerations.

• Responsible AI & Accessibility: Be ready to discuss how you incorporate these principles into your design practice.

📝 Enhancement Note: The portfolio review is critical. Given the specialized nature of AI UX, candidates must clearly demonstrate their ability to design for these emerging technologies, not just general UX principles. Emphasis on collaboration with Conversational Designers is particularly important.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping & Design: Figma (required for fast prototyping and component-based design), potentially Adobe Creative Suite.

• User Research & Testing: Tools for usability testing (e.g., UserTesting.com, Lookback), survey platforms (e.g., SurveyMonkey, Qualtrics).

• Collaboration & Project Management: Jira, Confluence, Asana, Slack, Microsoft Teams.

Analytics & Reporting:

• Experience with analytics platforms (e.g., Google Analytics, Adobe Analytics) to instrument and track UX metrics.

• Familiarity with A/B testing frameworks and platforms for rapid experimentation.

CRM & Automation:

• While not a direct CRM role, understanding how AI integrates with customer data platforms or CRMs may be beneficial.

• Familiarity with how AI outputs can trigger automated workflows or actions within other systems.

• Awareness of integration tools and concepts to understand how AI features connect with the broader product ecosystem.

📝 Enhancement Note: Figma is explicitly called out as a required tool. Proficiency in this tool is essential. The role also implies a need for familiarity with how design decisions impact data tracking and experimentation, crucial for rapid iteration in AI product development.

👥 Team Culture & Values

Operations Values:

• Caring: Reflecting UnitedHealth Group's mission, there's an emphasis on designing solutions that genuinely help people live healthier lives. This translates to user-centricity and empathy in design.

• Connecting: Fostering strong, collaborative relationships within the team and across departments to ensure cohesive product development and shared understanding.

• Growing Together: A culture of continuous learning, skill development, and mutual support, encouraging individuals and the team to evolve with the rapidly changing AI landscape.

• Data-Driven Decision Making: Utilizing user data, analytics, and research to inform design choices and measure impact, ensuring efficiency and effectiveness.

• Innovation & Agility: Embracing new technologies like Generative AI and adapting quickly to market changes and user needs in a fast-paced environment.

• Responsibility & Ethics: A strong commitment to designing AI responsibly, ensuring transparency, fairness, and user safety, especially within the sensitive healthcare domain.

Collaboration Style:

• Cross-functional Integration: Expect a highly collaborative environment where UX Designers work hand-in-hand with Conversational Designers, Product Managers, and Engineers daily.

• Open Feedback Culture: A willingness to share work in progress, give and receive constructive feedback, and engage in open design critique sessions.

• Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings, especially around the nuances of AI interaction design and responsible AI.

• Experimentation Mindset: A comfort with iterative development, testing hypotheses, and learning from both successes and failures to optimize AI experiences.

📝 Enhancement Note: The company's stated values ("Caring. Connecting. Growing together.") are central. For operations roles, this means a focus on user impact, teamwork, and continuous improvement, all within the ethical framework required for healthcare technology.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving Technology: Staying current with the fast-paced advancements in Generative AI and its implications for UX design.

• Managing User Expectations: Designing AI interactions that are reliable and trustworthy, while clearly communicating AI's limitations and potential for errors (e.g., hallucinations).

• Balancing Velocity and Rigor: The need to move quickly in a time-sensitive environment while ensuring thorough design validation and user research.

• Designing for Regulated Industries: Navigating the complexities of privacy, consent, and compliance within the healthcare sector.

• Defining Agent Behavior: Establishing clear, predictable, and helpful behaviors for AI agents that users can rely on.

Learning & Development Opportunities:

• AI UX Specialization: Deep dive into advanced AI interaction patterns, prompt engineering for design, and multimodal AI interfaces.

• Responsible AI & Ethics: Training and practical application of ethical AI design principles and governance frameworks.

• Cross-Disciplinary Learning: Gaining deeper insights into AI/ML capabilities, conversational design strategies, and product management in an AI context.

• Industry Conferences & Certifications: Opportunities to attend relevant UX, AI, and healthcare technology events.

• Mentorship Programs: Access to senior leaders and subject matter experts for guidance and career development.

📝 Enhancement Note: The primary challenge lies in navigating the uncharted territory of Generative AI UX. Candidates must be adaptable, curious, and comfortable with ambiguity. The growth opportunities are significant due to the high demand for specialized AI UX talent.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What were the biggest UX challenges, and how did you address them?" (Focus on your process, AI specifics, and outcomes).

• "How would you approach designing the user experience for a Generative AI assistant that helps users find health information, ensuring trust and accuracy?" (Demonstrate your understanding of AI UX principles, system thinking, and responsible AI).

Company & Culture Questions:

• "Why are you interested in designing AI experiences specifically within the healthcare industry at UnitedHealth Group?" (Connect your passion for UX with the company's mission and industry).

• "How do you ensure your designs are accessible and inclusive, especially when working with complex AI systems?" (Highlight your commitment to WCAG and inclusive design).

Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the problem you were solving and the user need.

• Walk Through Your Process: Detail your research, ideation, prototyping (especially Figma), and testing phases. Use visuals liberally.

• Highlight AI-Specific Solutions: Explain how your design choices addressed the unique challenges of AI interactions, trust, and transparency.

• Showcase Impact: Quantify the results of your design work whenever possible (e.g., improved task completion, satisfaction scores, efficiency gains).

• Be Prepared for Q&A: Anticipate deep dives into your decision-making, trade-offs, and collaboration methods.

📝 Enhancement Note: The interview process will heavily scrutinize both your core UX craft and your specific understanding of AI UX challenges. Be ready to discuss your experience with Figma, systems thinking, and responsible AI in detail. Tailor your portfolio presentation to highlight AI-specific projects and your collaborative approach.

📌 Application Steps

To apply for this Senior UX Designer - AI position:

• Submit your application through the UnitedHealth Group careers portal, ensuring your resume highlights your experience in UX/Product Design, AI-assisted experiences, and Figma proficiency.

• Portfolio Customization: Select and refine your portfolio to prominently feature 2-3 relevant AI/Generative AI projects. Clearly articulate your role, process, design decisions, and measurable impact, emphasizing how you addressed AI-specific UX challenges.

• Resume Optimization: Tailor your resume to include keywords from the job description, such as "Generative AI," "Ask AI," "Interaction Design," "Systems Thinking," "Figma," "Usability Testing," and "Responsible AI." Quantify achievements wherever possible.

• Interview Preparation: Practice articulating your design process, project case studies, and your understanding of AI UX principles. Prepare thoughtful questions for the interviewers about the team, projects, and the company's AI strategy.

• Company Research: Familiarize yourself with UnitedHealth Group's mission, values, and Optum's role in healthcare innovation. Understand their commitment to improving health outcomes and their approach to technology and AI.

⚠️ 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.

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