Fullstack UX/UI Researchers/Designer - Applied & Agentic AI Systems

📍 Job Overview

Job Title: Fullstack UX/UI Researcher/Designer - Applied & Agentic AI Systems

Company: Roche

Location: Hyderabad, India

Job Type: Full-time

Category: UX/UI Design & Research (Applied AI)

Date Posted: 2026-09-18

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• This is a high-impact Senior Individual Contributor (IC) role focused on building and executing advanced UX/UI strategies for Applied and Agentic AI systems.

• The position intentionally merges deep user research and high-fidelity UI design into a single "fullstack" discipline to address the unique challenges of non-deterministic AI outputs.

• You will be instrumental in establishing user trust and transforming unpredictable machine learning data into intuitive, systemic, and reliable human experiences.

• This role is a critical evolution in Roche’s digital mission, bridging raw algorithmic power with meaningful user value within the Applied AI function.

📝 Enhancement Note: The "Fullstack UX/UI Researcher/Designer" title signifies a blended role, uncommon in traditional operations, requiring a candidate adept at both deep user discovery and detailed design execution. The emphasis on "Applied & Agentic AI Systems" indicates a focus on practical, real-world AI applications, not just theoretical research. This role is positioned within Roche Digital Technology, specifically the Applied AI Engineering Team, suggesting a fast-paced, agile environment leveraging advanced coding agents.

📈 Primary Responsibilities

• Conduct comprehensive user research to understand target users, develop detailed personas, and ensure interfaces are optimized for user needs and AI-driven workflows.

• Actively engage with end-users to deeply understand their workflows and translate complex business requirements into intuitive, human-like conversational and systemic design concepts for AI applications.

• Perform rigorous usability testing and iterative design cycles, integrating user feedback to continuously improve AI-driven features and address non-deterministic outputs.

• Design and test complex workflows and conversational interactions, specifically observing user reactions to dynamic, unpredictable system outputs from Large Language Models (LLMs) and other AI models.

• Craft user experiences that are conversational, responsive, and human-like, shifting from static layouts to flexible, dynamic interfaces that gracefully handle unpredictable data and real-time LLM streams.

• Develop innovative visualizations to effectively represent outputs from AI models, enabling users to easily understand and interact with complex, machine-generated information.

• Apply a strong aesthetic sense and utilize enterprise design systems to build interfaces that foster user trust, ensuring visual consistency across all touchpoints.

• Design wireframes, user flows, and high-fidelity prototypes for innovative AI-driven applications, considering both desktop and mobile experiences.

• Ensure all designed interfaces are accessible, inclusive, and provide a seamless user experience, applying best practices to accommodate diverse user needs.

📝 Enhancement Note: The responsibilities highlight a specialized niche in UX/UI for AI, emphasizing the need to design for uncertainty and dynamic outputs. The "Systemic UI & Conversation Design" point is key, indicating a move beyond traditional UI to designing entire interaction paradigms for AI. The mention of "Claude Code" and "Codex" suggests a hands-on approach with AI development tools.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Interaction Design, Human-Computer Interaction (HCI), or a closely related field. Experience:

• General UX/UI Mastery: 7+ years of comprehensive UX/UI Design experience, with a demonstrated evolution and specialization in designing for AI-driven and agentic systems.

• Research Autonomy: 3–5+ years of dedicated, hands-on experience in User Research, Usability Testing, or Product Design Research, with a proven ability to independently own projects from initial brief to final stakeholder presentation.

• AI Integration Experience: Demonstrated experience designing and implementing interfaces that effectively incorporate Large Language Models (LLMs) and classical Machine Learning models, such as conversational assistants and complex data exploration tools.

• Information Architecture: Proven experience in developing user journey maps, sitemaps, and wireframes that serve as foundational elements for AI-driven user experiences.

Required Skills:

• Research Skills: Strong user research capabilities, including conducting in-depth interviews, comprehensive usability testing, and A/B testing to validate design concepts and user flows.

• Design Tools: Advanced proficiency in Figma for creating wireframes, high-fidelity mockups, and interactive prototypes. Solid understanding and application of enterprise design systems.

• Prototyping and Testing: Ability to create sophisticated interactive prototypes and effectively gather actionable user feedback through structured testing methodologies.

• Problem-Solving: Excellent analytical and problem-solving skills with a detail-oriented approach to identifying and resolving complex design challenges.

• Self-Management: Strong self-management skills, including the ability to take initiative, manage time efficiently, prioritize tasks, and ensure timely completion of projects in an agile environment.

Preferred Skills:

• Developing Experience: Basic software development skills to enable editing of codebases, creation of simple code solutions, and a solid understanding of created codebases.

• Agentic SDLC Experience: Experience leveraging Agentic Software Development Lifecycle (SDLC) tools and approaches, such as Claude Code and Codex, for creating working mockups, Proofs of Concept (PoCs), and Proofs of Value (PoVs).

• CX Strategy & Integration: Ability to map customer touchpoints and integrate broader Customer Experience (CX) strategy into the product lifecycle for AI-powered solutions.

• Regulatory Compliance: Proven experience working within highly regulated industries, understanding compliance needs for AI applications.

• Mentorship Interest: A desire to contribute to the growth of the broader UX community through mentorship and knowledge sharing.

📝 Enhancement Note: The "7+ years of UX/UI Design mastery" and "3-5+ years of dedicated User Research" clearly define a senior-level role. The "Golden Mean" profile description emphasizes a blend of technical design skills, artistic inclination, and user empathy, crucial for complex AI interactions. The "Developing experience" and "Agentic SDLC" are critical differentiators for this role, indicating a need for hands-on interaction with AI development processes and tools.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Comprehensive Case Studies: Showcase end-to-end design journeys from initial user research and problem definition through to high-fidelity prototypes and usability testing outcomes.

• AI Integration Examples: Include specific projects demonstrating experience designing for AI-driven features, LLMs, or agentic systems, highlighting how you addressed challenges related to non-deterministic outputs.

• Process Optimization: Present case studies that clearly articulate how your designs improved user workflows, enhanced efficiency, or increased user trust in complex systems.

• System Design & Consistency: Demonstrate understanding and application of enterprise design systems, showcasing how you maintained visual and interaction consistency across multiple touchpoints or applications.

• Metrics & Impact: Quantify the impact of your design work with relevant metrics (e.g., usability test success rates, task completion times, user satisfaction scores, adoption rates).

Process Documentation:

• Workflow Design: Illustrate your ability to map complex user journeys and design intuitive workflows for AI-powered applications, including conversational flows and dynamic UI elements.

• Research Methodology: Clearly document your user research processes, including methods used (interviews, surveys, usability tests, A/B tests), participant recruitment, and data analysis techniques.

• Prototyping & Iteration: Detail your prototyping process, from low-fidelity wireframes to high-fidelity interactive prototypes, and explain how user feedback informed iterative design improvements.

📝 Enhancement Note: For a role like this, the portfolio is paramount. It should not just showcase visual design but the entire process of discovery, design, and validation, with a strong emphasis on how the candidate tackled the unique complexities of AI interaction design. Demonstrating experience with tools like Figma and an understanding of how to integrate with development workflows (even basic coding) is crucial.

💵 Compensation & Benefits

Salary Range:

• Given the senior-level experience (7+ years UX/UI, 3-5+ years Research), specialized skills in AI/LLMs, and the location in Hyderabad, India, the estimated annual salary range for this role is ₹2,000,000 to ₹3,500,000 (approximately $24,000 - $42,000 USD, depending on current exchange rates). This range is based on industry benchmarks for senior UX/UI professionals in major Indian tech hubs, adjusted for the specialized AI focus and the demands of a multinational pharmaceutical company like Roche. Benefits:

• Comprehensive health insurance coverage for employees and dependents.

• Retirement savings plan (e.g., Provident Fund contributions).

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

• Opportunities for professional development, including access to training, workshops, and conferences related to AI, UX/UI, and emerging technologies.

• Employee assistance programs offering counseling and support services.

• Potential for performance-based bonuses or incentives.

• Access to Roche's global network and resources. Working Hours:

• Standard full-time hours, likely around 40 hours per week.

• Shift: Specifically structured to capture "golden hours" of overlap with the Central European Time (CET) zone, typically running through the IST evening. This implies a working schedule that may extend into the later part of the typical Indian workday to facilitate collaboration with European teams.

📝 Enhancement Note: The salary estimation is based on typical senior-level UX/UI roles in Hyderabad's tech sector, with a premium for the specialized AI/LLM expertise. The "golden hours" overlap with CET is a critical detail for understanding the daily work schedule and collaboration expectations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Pharmaceutical and Diagnostics. Roche is a global leader in healthcare, driven by innovation in medicine and diagnostics. This context means a strong emphasis on quality, compliance, ethics, and making a tangible impact on human health.

Company Size: Over 100,000 employees globally. This indicates a large, established organization with significant resources, structured processes, and diverse career opportunities, yet the Applied AI Engineering Team operates in small, agile teams (~9 members).

Founded: The company was founded in 1896. This long history signifies stability, deep expertise, and a commitment to long-term innovation.

Team Structure:

• Applied AI Engineering Team: Operates in small, agile teams, typically around 9 members, fostering a collaborative and efficient environment.

• Reporting Structure: This role is a Senior Individual Contributor (IC), suggesting direct contributions to projects rather than people management. It likely reports to an AI Engineering Lead or a Head of UX/Product Design within the Digital Technology division.

• Cross-functional Collaboration: The role emphasizes close collaboration with other engineers (including those using advanced coding agents), product managers, and potentially other research scientists within the AI function and across different Roche divisions.

Methodology:

• Agile AI Product Development: The team operates using Agile methodologies, focused on rapid iteration and delivery.

• Data-Driven Insights: User research and A/B testing are core to validating design decisions and ensuring user-centricity.

• Workflow Optimization: A primary goal is to optimize user workflows by transforming complex AI outputs into intuitive and efficient experiences.

• Leveraging AI Tools: The team utilizes advanced coding agents (like Claude Code) to accelerate development cycles.

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

📝 Enhancement Note: The juxtaposition of a large, established pharmaceutical company with small, agile AI teams is important. It means candidates get the stability and resources of a global giant while working in a startup-like environment for innovation. The "healthcare" industry context implies a need for robust ethical considerations and a deep understanding of user needs in a sensitive domain.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC) - UX/UI Research & Design. This level implies a high degree of autonomy, expertise, and the ability to lead design initiatives for complex projects without direct reports. The focus is on deep technical and design contribution.

Reporting Structure: Likely reports to an AI Engineering Lead or a Design Manager within the Digital Technology division. The role is designed for practitioners who prefer building and executing over administrative management.

Operations Impact: This role has a direct impact on the adoption and efficacy of AI technologies within Roche by ensuring that complex, non-deterministic AI outputs are translated into usable, trustworthy, and valuable human experiences. Success directly influences user trust, efficiency, and the overall success of AI initiatives in healthcare applications.

Growth Opportunities:

• Specialization in AI UX/UI: Deepen expertise in designing for cutting-edge AI technologies, including Generative AI, Agentic AI, and LLMs, becoming a go-to expert in this niche.

• Technical Skill Development: Opportunity to work closely with AI engineers, gain exposure to agentic SDLC tools, and potentially develop basic coding skills for better collaboration.

• Leadership in Design: Potential to lead design strategy for significant AI product initiatives, influence design standards for AI applications at Roche, and contribute to the broader UX community through mentorship.

• Cross-functional Exposure: Gain deep understanding of pharmaceutical and diagnostic processes, enabling more impactful design solutions within the healthcare domain.

📝 Enhancement Note: The emphasis on being a Senior IC means growth is likely through increased project complexity, technical depth, and design leadership rather than traditional people management. The unique blend of UX/UI and AI development makes this a high-demand skill set with significant future growth potential.

🌐 Work Environment

Office Type: On-site in Hyderabad, India. The description implies a modern office environment conducive to collaboration and innovation, typical of global tech hubs.

Office Location(s): Hyderabad, India. This specific location is key for understanding the local tech talent pool and living environment.

Workspace Context:

• Agile Teams: Work within small, agile teams (~9 members), fostering a close-knit and collaborative atmosphere.

• Advanced Tools: Access to state-of-the-art tools and technologies, including advanced coding agents like Claude Code, facilitating rapid development and prototyping.

• Cross-functional Interaction: Frequent interaction with engineers, researchers, and product stakeholders, promoting a dynamic and communicative work environment.

• Global Collaboration: Regular collaboration with teams in different time zones, particularly Central European Time (CET), requiring flexibility and strong communication skills.

Work Schedule:

• Standard full-time employment.

• Shift: A specific schedule is designed to maximize overlap with CET working hours, meaning the workday will likely extend into the IST evening to facilitate real-time collaboration with European counterparts. This is a critical consideration for work-life balance.

📝 Enhancement Note: The "golden hours" overlap with CET is a significant factor for daily work life. Candidates need to be prepared for a schedule that might not align with traditional 9-to-5 Indian business hours.

📄 Application & Portfolio Review Process

Interview Process:

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

• Hiring Manager Interview: Discussion on experience, motivations, and alignment with the role's specific demands (AI UX/UI, fullstack capabilities).

• Portfolio Review & Design Challenge: A critical stage where candidates present their portfolio, showcasing case studies relevant to AI and complex systems. This may be followed by a practical design challenge or a deep dive into a specific portfolio project.

• Technical/Team Interview: Interview with peers (e.g., AI Engineers, other UX designers) to assess technical understanding, collaboration style, and ability to work with AI development tools.

• Final Interview: Potentially with senior leadership to discuss strategic impact, long-term vision, and final cultural alignment.

Portfolio Review Tips:

• Focus on AI & Complexity: Prioritize case studies that demonstrate your ability to design for AI, LLMs, or agentic systems. Highlight how you tackled non-deterministic outputs and fostered user trust.

• Showcase the "Fullstack" Approach: Clearly articulate your process from deep user research and discovery through to high-fidelity design and prototyping. Emphasize how you unified these disciplines.

• Quantify Impact: Use metrics to demonstrate the success of your designs. How did your work improve user experience, efficiency, or adoption?

• Explain Your Process: Be prepared to walk through your design decisions, research methodologies, and the tools you used (especially Figma and any AI development tools).

• Address Ethical Considerations: Given Roche's industry, be ready to discuss responsible AI deployment and user empathy in your work.

Challenge Preparation:

• AI Scenario Design: If a design challenge is given, anticipate scenarios involving complex AI interactions, data visualization, or conversational interfaces.

• Process Mapping: Be prepared to map out a user journey or workflow for an AI-powered application.

• Tool Proficiency: Ensure you are comfortable discussing and demonstrating your skills in Figma. If asked about coding, be honest about your level of experience but emphasize your understanding of the development lifecycle.

📝 Enhancement Note: The portfolio review is central to this role. Candidates should curate their best work, specifically highlighting projects that demonstrate their ability to handle the unique challenges of AI interaction design. The "fullstack" aspect means showing a seamless blend of research and design execution.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, mockups, prototyping, and design system management. Mastery is expected.

• User Research Tools: Proficiency in various research methodologies and associated tools for conducting interviews, surveys, usability testing, and data analysis (e.g., UserTesting.com, SurveyMonkey, Miro for synthesis).

• Prototyping Tools: Beyond Figma, familiarity with other prototyping tools that allow for dynamic and interactive outputs.

• Design Systems: Experience with building, contributing to, or utilizing enterprise-level design systems for consistency and scalability.

Analytics & Reporting:

• Data Analysis Tools: Ability to interpret user research data and potentially basic analytics from AI system interactions to inform design decisions.

• Visualization Tools: Familiarity with tools or methods for creating effective data visualizations to represent AI outputs.

CRM & Automation:

• While not a direct CRM role, understanding how user data flows and how AI systems interact with enterprise platforms is beneficial.

• Agentic SDLC Tools: Specific mention of Claude Code and Codex indicates a need to understand or potentially interact with AI-powered code generation and development platforms.

📝 Enhancement Note: Figma is explicitly mentioned as a "Must-have." The inclusion of "Claude Code" and "Codex" suggests that candidates who have even basic familiarity or a strong understanding of how these AI coding assistants work will have an advantage, as they are expected to collaborate or even use them in their workflow.

👥 Team Culture & Values

Operations Values:

• User-Centricity & Empathy: A deep commitment to understanding and advocating for the end-user, especially in the sensitive context of healthcare.

• Innovation & Agility: Embracing new technologies like Generative and Agentic AI, working in fast-paced agile teams to deliver solutions rapidly.

• Quality & Reliability: Upholding high standards for design and user experience, ensuring that AI systems are dependable and trustworthy.

• Collaboration & Open Dialogue: Fostering a culture where diverse perspectives are valued, and open communication is encouraged to solve complex problems.

• Ethical AI Deployment: A strong understanding of responsible AI principles and a commitment to deploying AI ethically and inclusively.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration with AI engineers, product managers, and other stakeholders to ensure design solutions are technically feasible and meet business objectives.

• Iterative Feedback Loops: Actively seeking and providing constructive feedback within the team to refine designs and processes.

• Knowledge Sharing: A culture that encourages sharing insights from user research, design best practices, and learnings from working with AI development tools.

• Agile Partnership: Working closely within small agile teams, adapting to changing priorities and contributing to a shared goal of rapid, high-quality delivery.

📝 Enhancement Note: The company's culture emphasizes embracing AI and innovation while maintaining a strong ethical compass, crucial for a healthcare company. The small, agile team structure suggests a more informal and collaborative environment compared to a traditional large corporation.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Non-Determinism: The primary challenge is creating intuitive and trustworthy user experiences for AI systems whose outputs can be unpredictable and vary significantly.

• Bridging AI & Human Understanding: Translating complex, often opaque, machine learning outputs into easily understandable and actionable information for diverse users.

• Rapid Technological Evolution: Keeping pace with the fast-evolving landscape of AI, LLMs, and agentic systems, and adapting design approaches accordingly.

• Cross-Time Zone Collaboration: Effectively collaborating with teams in different time zones (especially CET), requiring careful scheduling and communication strategies.

• Balancing Innovation with Regulation: Navigating the complexities of designing AI solutions within a highly regulated industry like healthcare.

Learning & Development Opportunities:

• AI UX/UI Specialization: Becoming a leading expert in the emerging field of UX/UI for advanced AI applications.

• Agentic SDLC Exposure: Gaining hands-on experience and deeper understanding of AI-assisted development workflows.

• Leadership in Design: Opportunities to lead design strategy for critical AI projects, mentor junior designers, and influence design standards at Roche.

• Industry Conferences & Certifications: Support for attending relevant conferences (e.g., CHI, UX India) and pursuing certifications in AI, UX, or related fields.

• Cross-Disciplinary Learning: Deepening knowledge in areas like machine learning, conversational AI, and the specific healthcare applications of these technologies.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of the role, particularly the complexities introduced by AI. Growth opportunities are geared towards developing specialized expertise in a high-demand, future-forward field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design an interface for a system with unpredictable outputs. How did you approach it, and what were the results?" (Focus on process, user trust, and iterative design).

• "How would you approach designing a conversational AI agent for a complex diagnostic data exploration task at Roche? What research methods would you employ?" (Focus on research, conversational design, and domain understanding).

• "Walk me through a project in your portfolio where you combined deep user research with high-fidelity UI design to solve a complex problem. What was your process, and what was the impact?" (Focus on "fullstack" capability and quantifiable results). Company & Culture Questions:

• "What interests you about working at Roche, specifically within our Applied AI function?" (Research Roche's mission, AI initiatives, and connect to your passion).

• "How do you approach ethical considerations when designing AI-powered tools, especially in a healthcare context?" (Demonstrate awareness of responsible AI and empathy).

• "Describe your ideal collaboration style within a small, agile team working on cutting-edge technology." (Highlight adaptability, communication, and proactivity). Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative: the problem, your research process, design solutions, iteration, and measurable outcomes.

• Focus on AI: Explicitly highlight the AI-specific challenges you addressed and how your design solutions mitigated them.

• Demonstrate Fullstack: Show the seamless integration of your research findings into your design decisions and vice-versa.

• Quantify Impact: Use data and metrics to support your achievements.

• Tool Proficiency: Be ready to discuss your proficiency with Figma and your understanding of how AI development tools (like Claude Code) fit into the workflow.

📝 Enhancement Note: Interview preparation should heavily emphasize the unique aspects of this role: the "fullstack" nature, the focus on AI/LLMs, and the specific challenges of designing for non-deterministic systems in healthcare. Demonstrating a blend of strong UX/UI fundamentals with an understanding of AI's complexities is key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link.

• Portfolio Customization: Curate your portfolio to prominently feature projects related to AI, LLM integration, conversational design, or complex data visualization. Highlight case studies that showcase your "fullstack" approach, merging research with design.

• Resume Optimization: Tailor your resume to emphasize keywords such as "UX/UI Design," "User Research," "Applied AI," "Generative AI," "Agentic AI," "Figma," "LLM," and "Interaction Design." Clearly articulate your years of experience in both UX/UI and user research.

• Interview Preparation: Practice presenting your portfolio with a focus on storytelling and quantifiable results. Prepare to discuss your approach to designing for complex, non-deterministic AI systems and your understanding of ethical AI deployment in healthcare.

• Company Research: Thoroughly research Roche's mission, its digital technology initiatives, and its commitment to AI. Understand the company's values and how your approach to UX/UI design aligns with them, especially regarding user empathy and responsible innovation.

⚠️ 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.