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, Telangana, India

Job Type: Full time

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

Date Posted: 2026-09-18

Experience Level: 5-10 years

Remote Status: Hybrid

🚀 Role Summary

• Serve as a Senior Individual Contributor (IC) focused on building and executing within Applied AI and Agentic AI systems.

• Merge deep user research and high-fidelity UI design into a unified "fullstack" discipline to address friction points in non-deterministic AI outputs.

• Transform unpredictable machine learning data and real-time LLM streams into intuitive, systemic, and reliable human experiences.

• Establish user trust and drive meaningful user value by bridging the gap between algorithmic power and practical application.

📝 Enhancement Note: This role is positioned as a senior, hands-on individual contributor, emphasizing deep expertise in both user research and UI design within the rapidly evolving field of applied AI. The "fullstack" nature of the role suggests a need for a practitioner who can seamlessly transition between discovery and delivery phases, a critical skill for navigating the complexities of AI-driven interfaces.

📈 Primary Responsibilities

• UX Research & User Advocacy: Conduct comprehensive user research, develop personas, and ensure interfaces are optimized for user needs. Actively engage with end-users to understand workflows and translate business requirements into intuitive design concepts. Perform usability tests to iterate on designs, integrating user feedback for continuous improvement. Design and test complex workflows and conversational interactions, specifically observing user reactions to dynamic and non-deterministic AI outputs.

• Systemic UI & Conversation Design: Enhance interaction with AI-driven features by crafting conversational, responsive, and human-like user experiences. Design flexible, dynamic interfaces capable of handling unpredictable data, varying confidence intervals, and real-time LLM streams, moving beyond static layouts. Develop innovative visualizations for AI model outputs to facilitate user understanding and interaction with complex information. Apply a strong aesthetic sense and utilize enterprise design systems to foster user trust and maintain visual consistency across all touchpoints.

• Wireframing and Prototyping: Create wireframes, user flows, and interactive prototypes for innovative AI-driven applications, considering both desktop and mobile experiences.

• Accessibility and Usability: 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 unique blend of traditional UX/UI practices with specialized requirements for AI systems. The emphasis on "non-deterministic AI outputs," "dynamic interfaces," and "visualizations for AI models" points to the need for advanced problem-solving skills in abstracting complex AI behavior into understandable and usable interfaces.

🎓 Skills & Qualifications

Education: Bachelor's degree in Interaction Design, Human-Computer Interaction, or a related field.

Experience: 7+ years of UX/UI Design mastery, with a demonstrated evolution into designing for AI-driven and agentic systems. 3-5+ years of dedicated user research, usability testing, or product design research experience with project ownership from brief to stakeholder presentation.

Required Skills:

• UX Research & Usability Testing: Strong skills in conducting user interviews, usability testing, and A/B testing to validate designs and gather actionable insights.

• Figma Proficiency: Mastery of Figma for creating wireframes, mockups, and interactive prototypes, with a solid understanding of design system principles.

• Interaction Design Fundamentals: Deep understanding of interaction design principles, user-centered design methodologies, and creating intuitive user flows.

• Prototyping & Testing: Ability to create interactive prototypes and effectively gather user feedback through structured testing sessions.

• Information Architecture: Experience developing user journey maps, sitemaps, and wireframes that effectively structure and inform AI-driven user experiences.

• Conversational Design: Ability to design effective conversational interfaces and interactions, particularly for AI-driven assistants and chat applications.

• Agile Methodology: Experience working within Agile development teams, contributing to rapid iteration and delivery cycles.

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

• Self-Management: Strong initiative, time management, and the ability to work independently to ensure task completion.

Preferred Skills:

• Basic Software Development: Foundational coding skills to enable editing codebases, creating simple code solutions, and understanding code logic.

• Agentic SDLC Experience: Experience with tools and approaches like Claude Code and Codex for Agentic Software Development Lifecycles, creating working mockups, Proofs of Concept (PoCs), and Proofs of Value (PoVs).

• Customer Experience (CX) Strategy: Ability to map customer touchpoints and integrate broader CX strategy into the product lifecycle.

• Regulatory Industry Experience: Proven experience working within highly regulated industries, understanding compliance and safety requirements.

• Mentorship & Knowledge Sharing: Interest in contributing to the broader UX community through mentorship and knowledge sharing.

📝 Enhancement Note: The "Golden Mean" profile described (deep design fundamentals backed by artistic inclination and empathy) is crucial for this role. The preference for candidates with basic development skills and experience with Agentic SDLC tools like Claude Code suggests a forward-thinking team actively integrating AI into the design and development process, requiring designers to be comfortable working closely with code and AI-assisted development workflows.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Journey Demonstration: Showcase a complete project lifecycle from initial ideation and user research through to final prototype and testing, highlighting your role and contributions at each stage.

• AI-Specific Design Case Studies: Include detailed case studies of designing for AI-driven or agentic systems, illustrating how you addressed challenges related to non-deterministic outputs, user trust, and complex data visualization.

• Figma & Design System Examples: Provide examples of high-fidelity mockups and prototypes created in Figma, demonstrating your ability to work with and contribute to enterprise design systems.

• User Research & Testing Outputs: Present examples of user research findings, usability test reports, and how user feedback directly influenced design iterations and improvements.

• Information Architecture Artifacts: Include examples of user journey maps, sitemaps, or wireframes that demonstrate your ability to structure complex AI interactions and workflows.

Process Documentation:

• Workflow Design and Optimization: Document processes for how you approach understanding user needs and translating them into intuitive workflows, especially for AI-powered features.

• Iterative Design and Feedback Integration: Illustrate methods for incorporating user feedback from testing into design iterations, highlighting how you refine designs based on empirical data.

• Systemic Design Application: Demonstrate how you apply design systems and maintain consistency across AI-driven applications and touchpoints.

• AI Output Visualization Strategy: Explain your process for designing visualizations that effectively represent complex or unpredictable AI model outputs.

📝 Enhancement Note: For this role, a portfolio is not just a showcase of past work but a critical tool to demonstrate an understanding of designing for AI. Candidates should be prepared to articulate their process for handling AI's inherent unpredictability, how they foster user trust, and how they translate abstract algorithmic outputs into tangible, usable interfaces. Examples involving LLMs or agentic systems will be highly valued.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX/UI Researchers/Designers with 7+ years of experience in a major tech hub like Hyderabad, India, and considering the specialized AI focus, an estimated annual salary range would be ₹18,00,000 to ₹35,00,000. This range accounts for the experience level, the demand for AI-focused design skills, and the cost of living in Hyderabad.

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision).

• Generous paid time off (PTO), including vacation, sick leave, and public holidays.

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

• Professional development opportunities, including training, workshops, and conference attendance.

• Access to Roche's global employee assistance program for mental and emotional well-being.

• Potential for performance-based bonuses and stock options.

• Opportunities to work with cutting-edge AI technologies.

Working Hours: Full-time position, with a focus on capturing "golden hours" of overlap with the Central European Time (CET) zone, typically running through the IST evening. This implies a flexible schedule that accommodates significant cross-time zone collaboration. Standard working hours are likely around 40 hours per week, with flexibility.

📝 Enhancement Note: The salary estimate is based on research for senior-level UX/UI roles in India, adjusted upwards for the specialized AI expertise and the "Senior Individual Contributor" nature of the role at a multinational corporation like Roche. The "golden hours" requirement for working with CET suggests a need for adaptability in daily scheduling.

🎯 Team & Company Context

🏢 Company Culture

Industry: Pharmaceutical and Diagnostics. Roche is a global leader in healthcare, dedicated to advancing science and improving patient lives through innovative medicines and diagnostics.

Company Size: Over 100,000 employees globally. This large size offers stability, extensive resources, and opportunities for global impact, while the specific Applied AI team operates in small, agile units.

Founded: 1896. With a long history, Roche has a deep-rooted commitment to innovation and scientific advancement, applying this ethos to digital transformation and AI.

Team Structure:

• Applied AI Function: This role is part of the Applied AI function within Roche Digital Technology.

• Small Agile Teams: Operates within small, agile teams (approximately 9 members) leveraging advanced coding agents.

• Cross-functional Collaboration: Works closely with engineers, AI specialists, product managers, and other stakeholders to develop and ship AI solutions.

Methodology:

• Agile Development: Employs agile methodologies for rapid development and iteration.

• Data-Driven Design: Utilizes user research and data analysis to inform design decisions and product development.

• AI-Powered Development: Leverages advanced coding agents (like Claude Code) to accelerate development cycles.

• User-Centricity: Maintains a strong focus on understanding and meeting end-user needs.

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

📝 Enhancement Note: Roche's strong foundation in healthcare and science provides a unique context for applied AI. The description emphasizes a culture of innovation, personal expression, and valuing diverse qualities, which is crucial for creative roles like UX/UI design, especially when dealing with complex technologies like AI. The "small agile teams" within a large organization suggest a balance of autonomy and resource availability.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC). This role is for an elite practitioner focused on hands-on execution and deep expertise rather than management. It represents a significant step in specializing in cutting-edge UX/UI for AI.

Reporting Structure: While not explicitly detailed, Senior IC roles typically report to a Lead UX Designer, UX Manager, or Head of Product/Design within the Applied AI function. The emphasis is on direct contribution to project outcomes.

Operations Impact: This role has a direct impact on establishing user trust, ensuring the usability of complex AI systems, and translating algorithmic power into tangible user value. The success of AI initiatives heavily relies on the intuitive and reliable user experiences designed by this role, directly influencing adoption and effectiveness.

Growth Opportunities:

• Specialization in AI UX/UI: Deepen expertise in designing for Generative AI, agentic AI, LLMs, and other advanced AI systems.

• Leadership in Design Practice: Contribute to shaping the UX/UI discipline within Roche's Applied AI function, potentially through mentorship and knowledge sharing.

• Cross-Functional Project Leadership: Lead design efforts on high-impact AI projects, influencing product strategy and user experience across different domains within Roche.

• Exposure to Cutting-Edge Technology: Work with state-of-the-art AI tools and platforms, staying at the forefront of technological advancements in the field.

• Potential for Advanced Roles: Opportunities may arise for roles focusing on AI ethics in design, advanced conversational AI design, or leading design research for emerging AI applications.

📝 Enhancement Note: The "Senior Individual Contributor" designation is key. It means career growth here is about deepening expertise and impact rather than moving into management. The specific mention of "agentic SDLC" and "exchanging code with engineers" points to a growth path that involves becoming more technically fluent and integrated with the development process.

🌐 Work Environment

Office Type: The role is designated as Hybrid, meaning it will involve a combination of working from the Hyderabad office and remotely. This structure aims to balance in-office collaboration with personal flexibility.

Office Location(s): Hyderabad, India. Specific office details would be provided upon inquiry or during the interview process. The location is chosen to facilitate collaboration with global teams, particularly those in CET time zones.

Workspace Context:

• Collaborative Hub: The Hyderabad office likely serves as a hub for team meetings, brainstorming sessions, and in-person collaboration with local colleagues.

• Advanced Technology Access: As part of Roche Digital Technology, expect access to modern design tools, AI platforms, and robust IT infrastructure necessary for advanced UX/UI work.

• Agile Team Interaction: The workspace is designed to support agile team dynamics, encouraging frequent communication and interaction between designers, researchers, and engineers.

Work Schedule: Flexible hybrid arrangement with a specific requirement for "golden hours" overlap with CET (Central European Time). This means daily schedules will need to accommodate late afternoons/evenings in IST to align with European working hours, likely around 40 hours per week.

📝 Enhancement Note: The hybrid nature combined with specific time-zone overlap requirements suggests a highly collaborative and globally distributed team environment. Candidates should be comfortable with asynchronous communication and proactive scheduling to maximize overlap with international colleagues.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio for alignment with required skills and experience, particularly in AI UX/UI design and research.

• Technical Interview(s): Deep dives into UX/UI principles, research methodologies, design thinking for AI, and proficiency with tools like Figma. This may include a portfolio review where you present case studies.

• Design Challenge/Case Study: A practical exercise, potentially involving designing a solution for an AI-related problem or critiquing an existing AI interface. This assesses problem-solving skills, design process, and ability to articulate design decisions.

• Behavioral & Cultural Fit Interview: Assessment of collaboration style, self-management skills, communication abilities, and alignment with Roche's values and the team's agile methodology.

• Stakeholder Interview: Discussion with potential team members or leads to evaluate fit within the team and understand your approach to cross-functional collaboration.

Portfolio Review Tips:

• Highlight AI-Specific Projects: Prioritize showcasing projects that involved designing for AI, LLMs, or agentic systems. Clearly explain the unique challenges and your innovative solutions.

• Demonstrate the Full UX Process: For each project, walk through your research methods, ideation, wireframing, prototyping, user testing, and how you iterated based on feedback.

• Showcase Figma Mastery: Present high-fidelity mockups and interactive prototypes that demonstrate your design skills, attention to detail, and ability to work with design systems.

• Quantify Impact: Whenever possible, use metrics or qualitative feedback to demonstrate the impact of your designs on user experience, efficiency, or trust.

• Articulate Your "Golden Mean": Explain how your deep design fundamentals, artistic inclination, and user empathy come together to create effective solutions for complex AI problems.

• Prepare for Code Discussion: Be ready to discuss basic development aspects if you have them, or how you collaborate with developers, especially concerning AI integrations.

Challenge Preparation:

• Understand AI Constraints: Familiarize yourself with common challenges in AI interfaces, such as explainability, bias, hallucinations, and user trust.

• Practice Design Thinking for AI: Be prepared to apply design thinking principles to abstract problems that involve machine learning or agentic behavior.

• Focus on User Advocacy: Frame your solutions around solving real user problems and advocating for user needs, even when dealing with complex technology.

• Prepare for Cross-Time Zone Collaboration Scenarios: Think about how you would manage communication and collaboration with teams in different time zones.

📝 Enhancement Note: The interview process is designed to rigorously assess both hard UX/UI skills and a candidate's ability to apply them to the novel challenges of AI. The portfolio review is a critical component, and candidates should tailor their presentations to emphasize their experience with AI systems and their ability to handle ambiguity and non-determinism.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for wireframing, mockups, prototyping, and design system management. Mastery is essential.

• User Research Platforms: Tools for conducting interviews, surveys, and usability tests (e.g., UserTesting.com, Lookback, Qualtrics).

• Prototyping Tools: Beyond Figma, potentially tools for more advanced interactive prototypes or specific AI interaction simulations.

• Collaboration Tools: Jira, Confluence, Slack, Microsoft Teams for agile team communication and project management.

Analytics & Reporting:

• Analytics Platforms: Tools to track user behavior within applications (e.g., Google Analytics, Amplitude