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 for AI Systems

Date Posted: 2026-09-09

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Lead the end-to-end UX research and UI design process for applied AI and agentic AI systems, acting as a senior individual contributor.

• Bridge the gap between complex, non-deterministic AI outputs and intuitive, human-centric user experiences.

• Design and test dynamic, conversational interfaces that foster user trust and handle unpredictable machine learning data streams.

• Collaborate within small, agile teams to develop and deliver innovative AI-driven applications and GenAI agents at a rapid pace.

• Transform raw algorithmic power into meaningful user value within Roche's digital mission.

📝 Enhancement Note: This role is specifically positioned for an elite practitioner who excels in both deep user research and high-fidelity UI design, with a unique focus on the challenges presented by AI's inherent unpredictability. The "fullstack" nature emphasizes the seamless integration of discovery and delivery, a critical skill in the rapidly evolving AI landscape.

📈 Primary Responsibilities

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

• Perform rigorous usability testing and A/B testing to iterate on design concepts, integrating user feedback for continuous improvements.

• Design and test complex workflows and conversational interactions, specifically observing user reactions to dynamic, non-deterministic system outputs.

• Craft conversational, responsive, and human-like user experiences for AI-driven features, focusing on dynamic interfaces that handle unpredictable data and real-time LLM streams.

• Develop innovative visualizations for AI model outputs to enable users to easily understand and interact with complex information.

• Apply a strong aesthetic sense and leverage enterprise design systems to build interfaces that foster user trust and maintain visual consistency.

• Design wireframes, user flows, and prototypes for AI-driven applications across desktop and mobile platforms.

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

• Actively engage with end-users to understand their workflows and translate business needs into intuitive design concepts.

📝 Enhancement Note: The responsibilities highlight a shift from traditional UI design to a more dynamic and adaptive approach, specifically tailored to the nuances of AI and LLM outputs. The emphasis on "Systemic UI & Conversation Design" and handling "non-deterministic AI outputs" signifies the advanced nature of this role.

🎓 Skills & Qualifications

Education: Degree in Interaction Design, Human-Computer Interaction, or related fields.

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, hands-on experience in User Research, Usability Testing, or Product Design Research, with a proven ability to own projects end-to-end.

• Demonstrated experience designing interfaces that incorporate Large Language Models (LLMs) and classical Machine Learning (e.g., conversational assistants, data exploration tools).

• Experience developing user journey maps, sitemaps, and wireframes that inform AI-driven user experiences. Required Skills:

• Strong user research skills, including conducting interviews, usability testing, and A/B testing to validate designs.

• Proficiency in Figma for creating wireframes, mockups, and prototypes, with knowledge of design systems.

• Ability to create interactive prototypes and gather user feedback through testing.

• Detail-oriented with excellent problem-solving skills.

• Strong self-management skills for efficient time management and task completion.

• Ability to communicate effectively in English at a C1+ level. Preferred Skills:

• Basic software development skills to edit codebases, create code solutions, and understand existing code.

• Experience with Agentic Software Development Lifecycle (SDLC) tools and approaches like Claude Code and Codex for creating working mockups, PoCs, and PoVs.

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

• Proven experience working within highly regulated industries.

• Interest in specializing further in exchanging code with engineers via agentic workflows.

• 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 a key indicator for this role. The requirement for basic development skills and familiarity with Agentic SDLC tools like Claude Code is a strong signal of the company's advanced AI development practices.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end design projects demonstrating the ability to move from ideation through research, design, prototyping, and testing.

• Include case studies specifically highlighting experience with AI-driven features, conversational interfaces, or complex data visualization.

• Present examples of how user research directly informed design decisions and led to measurable improvements.

• Demonstrate proficiency in using design tools like Figma, including experience with design systems.

• Highlight projects that involved dynamic or non-deterministic outputs, showcasing how you managed user trust and understanding. Process Documentation:

• Provide examples of user journey maps, sitemaps, and wireframes that illustrate your approach to information architecture for AI systems.

• Showcase how you've conducted and utilized usability testing and A/B testing to iterate on designs.

• Include examples of how you've translated business needs and user workflows into intuitive design concepts.

• If applicable, demonstrate experience with Agentic SDLC workflows and how they were used to expedite prototyping or development.

📝 Enhancement Note: The portfolio should strongly emphasize the candidate's ability to handle the unique challenges of designing for AI, particularly its unpredictable nature. Demonstrating a process that integrates research, design, and user feedback for dynamic systems will be crucial.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX/UI Designers with 7+ years of experience in a major tech hub like Hyderabad, and considering the specialized AI focus, an estimated range could be ₹ 20,00,000 - ₹ 35,00,000 per annum. This range can vary significantly based on the candidate's specific experience, portfolio, and negotiation.

Benefits:

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

• Retirement savings plans and company matching contributions.

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

• Opportunities for professional development, training, and attending industry conferences.

• Employee assistance programs for mental and physical well-being.

• Access to Roche's global network and resources.

• Potential for performance-based bonuses.

• Relocation assistance may be available for exceptional candidates.

Working Hours: 40 hours per week, with a focus on capturing "golden hours" of overlap with Central European Time, typically running through the IST evening. This suggests a flexible work schedule that accommodates collaboration across time zones.

📝 Enhancement Note: Salary estimates are based on market research for senior-level UX/UI positions in Hyderabad, India, factoring in the specialized AI and research requirements. Benefits are standard for multinational corporations in the tech and pharmaceutical sectors. The working hours are specifically designed to facilitate cross-continental collaboration.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare (Pharmaceuticals & Diagnostics)

Company Size: Over 100,000 employees globally. This large scale provides stability and vast resources, while the mention of small agile teams suggests pockets of innovation and faster execution within the larger organization.

Founded: The company was founded in 1896, indicating a long history of innovation and stability in the healthcare sector.

Team Structure:

• The Applied AI Engineering Team operates in small, agile teams of approximately 9 members.

• This role is a Senior Individual Contributor (IC) within the Applied AI function, focusing on execution rather than management.

• Collaboration is expected within these small teams, likely with engineers, AI specialists, and product managers. Methodology:

• Agile AI product development is a core methodology, emphasizing rapid iteration and delivery.

• The use of advanced coding agents (like Claude Code) suggests a forward-thinking approach to software development, aiming for faster development cycles.

• A strong emphasis is placed on user research and ensuring that AI outputs are transformed into reliable human experiences.

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

📝 Enhancement Note: Roche's global presence and long history in healthcare provide a robust foundation. The description of small, agile teams working with advanced AI tools suggests a dynamic and innovative environment within a large, established corporation. The focus on "every voice matters" and embracing individuality points to an inclusive culture.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Individual Contributor (IC) role, signifying a high level of expertise and autonomy. It's a critical evolution within Roche's digital mission, bridging advanced AI capabilities with practical user application. This level is for practitioners who prefer building and executing complex solutions directly.

Reporting Structure: While not explicitly detailed, as a Senior IC, the role likely reports to a Lead Designer, UX Manager, or Head of Applied AI, within a larger Digital Technology or AI Engineering division. The emphasis on collaboration within small agile teams suggests a flat hierarchy within the immediate project context.

Operations Impact: The role has a direct and significant impact on how users interact with and trust advanced AI systems within Roche. By transforming complex, non-deterministic AI outputs into intuitive experiences, this role is crucial for the successful adoption and efficacy of AI-driven healthcare solutions, ultimately contributing to Roche's mission of preventing, stopping, and curing diseases.

Growth Opportunities:

• Specialization: Deepen expertise in designing for agentic AI, LLMs, and generative UI, becoming a go-to expert in this niche field.

• Leadership (Technical): Potentially move into technical leadership roles, guiding AI design strategy or mentoring junior designers within specialized AI teams.

• Cross-functional Impact: Contribute to broader digital transformation initiatives across Roche by sharing expertise on AI-human interaction.

• Mentorship: As a "Could-have" skill, there's an opportunity to contribute to the development of the broader UX community through mentorship and knowledge sharing.

• Industry Influence: Contribute to shaping the future of UX for AI in highly regulated industries like healthcare.

📝 Enhancement Note: This role offers a unique opportunity to pioneer UX/UI design for cutting-edge AI within a major healthcare company. The growth path is focused on deep technical expertise and specialized application rather than traditional management.

🌐 Work Environment

Office Type: On-site role in Hyderabad, India. The description implies a collaborative office environment conducive to agile team work.

Office Location(s): Hyderabad, Telangana, India. This location is a major technology and research hub.

Workspace Context:

• Collaborative Environment: The role is situated within small, agile teams, fostering close collaboration with peers and potentially other functional groups like engineering and research.

• Tools and Technology: Access to advanced coding agents and modern design tools (like Figma) is implied, supporting efficient workflow and innovation.

• Team Interaction: Frequent interaction with team members is expected due to the agile methodology and the need for rapid iteration and feedback loops.

Work Schedule: The working hours are structured to capture the "golden hours" of overlap with Central European Time (typically running through the IST evening). This suggests a flexible schedule that accommodates global collaboration, with an expectation for active participation during these overlapping periods.

📝 Enhancement Note: The on-site requirement in Hyderabad, combined with the specific working hours for European overlap, indicates a need for strong local team presence while also facilitating global collaboration. The environment is geared towards rapid development and innovation in AI.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio for alignment with AI/UX/UI experience and research capabilities.

• Technical/Portfolio Review: In-depth discussion of portfolio projects, focusing on AI-specific challenges, research methodologies, design decisions, and outcomes. Expect to walk through case studies demonstrating your "fullstack" approach.

• Skills Assessment: Potential practical exercises or case studies related to designing for AI, problem-solving dynamic outputs, or user research scenario analysis.

• Behavioral/Cultural Fit: Interviews to assess collaboration style, self-management, empathy, and alignment with Roche's values, particularly concerning responsible AI.

• Final Round: Discussion with senior stakeholders to assess strategic thinking and overall fit for the role and team.

Portfolio Review Tips:

• Highlight AI Focus: Clearly showcase projects involving AI, LLMs, agentic systems, or complex data visualization. Emphasize how you translated unpredictable AI outputs into usable experiences.

• Demonstrate Research-to-Design: Present a clear narrative of how user research informed your design decisions and led to tangible improvements. Use metrics where possible.

• Showcase "Fullstack" Capability: Include examples that demonstrate your ability to conduct both deep user research and high-fidelity UI design within the same project lifecycle.

• Detail Your Process: Explain your methodology for tackling AI-specific UX challenges, including how you handle uncertainty and build user trust.

• Figma Proficiency: Ensure your Figma work is well-organized and demonstrates advanced skills, including any use of design systems.

• Storytelling: Frame your projects as stories with a clear problem, your unique approach, your solutions, and the impact achieved.

Challenge Preparation:

• AI UX Scenarios: Be ready to discuss hypothetical scenarios involving AI bias, user confusion with AI outputs, or designing for real-time generative content.

• Process Optimization: Prepare to explain how you would optimize a user workflow that currently struggles with AI integration.

• Ethical Considerations: Be prepared to discuss ethical considerations in AI design and how you ensure responsible deployment.

• Agentic SDLC Understanding: If you have experience, be ready to discuss how agentic workflows can streamline design-to-development handoffs.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's ability to handle the specific challenges of designing for AI, particularly in a regulated industry. A strong, relevant portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

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

• User Research Tools: Various platforms for conducting interviews, surveys, usability testing (e.g., UserTesting.com, Maze, Lookback).

• Prototyping Tools: Beyond Figma, potentially tools like Adobe XD, InVision, or Axure for advanced interactive prototypes.

Analytics & Reporting:

• Analytics Platforms: Tools for tracking user behavior and performance metrics (e.g., Google Analytics, Mixpanel, Amplitude) to inform design iterations.

• Data Visualization Tools: Potentially tools like Tableau, Power BI, or custom dashboards for presenting AI output insights.

CRM & Automation:

• CRM Systems: While not directly a UX tool, understanding how user data is managed in CRM systems (e.g., Salesforce) can inform user journey mapping and personalization.

• Agentic SDLC Tools: Specific mention of Claude Code and Codex indicates an interest in AI-assisted code generation and development workflows, suggesting familiarity with platforms that integrate AI into the software development lifecycle.

📝 Enhancement Note: Proficiency in Figma is a must-have. Familiarity with agentic SDLC tools like Claude Code and Codex is a strong preferred skill, indicating the company's commitment to leveraging AI in its development processes.

👥 Team Culture & Values

Operations Values:

• User-Centricity & Empathy: A deep understanding and advocacy for the end-user, particularly in complex AI interactions where trust is paramount.

• Innovation & Agility: Embracing new technologies and methodologies (like Agentic AI and rapid development) to push boundaries and deliver solutions quickly.

• Data-Driven Decision Making: Utilizing user research and analytics to validate designs and drive improvements.

• Collaboration & Open Dialogue: Working effectively in small teams, fostering open communication and shared problem-solving.

• Excellence & Detail Orientation: Maintaining high standards in design quality, functionality, and user experience.

• Responsible AI: A commitment to ethical deployment of AI, ensuring fairness, transparency, and accessibility.

Collaboration Style:

• Agile & Iterative: Working within small, cross-functional teams with frequent feedback loops and rapid iteration cycles.

• Cross-Functional Integration: Close collaboration with AI engineers, researchers, and product managers to seamlessly integrate user experience with technical capabilities.

• Knowledge Sharing: An environment that encourages sharing learnings and best practices, potentially through mentorship and community contributions.

📝 Enhancement Note: The culture emphasizes innovation, user focus, and collaboration within agile environments. The "responsible AI" aspect is particularly important given the healthcare context.

⚡ 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.

• Building User Trust: Establishing and maintaining user trust in AI, especially in a highly regulated industry like healthcare where accuracy and reliability are critical.

• Rapid Technological Evolution: Keeping pace with the fast-changing landscape of AI, LLMs, and agentic systems.

• Cross-functional Alignment: Ensuring seamless handoff and collaboration between design, AI development, and engineering teams, especially with advanced tools like Claude Code.

• Balancing Innovation with Regulation: Navigating the complexities of designing cutting-edge AI solutions while adhering to strict healthcare industry regulations.

Learning & Development Opportunities:

• Specialized AI UX Training: Opportunities to deepen expertise in designing for generative AI, agentic AI, and conversational interfaces.

• Agentic SDLC Mastery: Further development in leveraging AI tools for design and development workflows.

• Industry Conferences & Certifications: Potential for attending leading UX, AI, and healthcare technology conferences.

• Mentorship: Opportunities to learn from senior practitioners and potentially mentor junior team members.

• Impactful Projects: Working on high-visibility projects that directly contribute to advancing healthcare through AI.

📝 Enhancement Note: This role is at the forefront of AI-UX design, presenting significant challenges that also translate into substantial growth and learning opportunities.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design an interface for a system with unpredictable outputs. How did you ensure user trust and understanding?" (Focus on your "fullstack" approach, research, and design solutions.)

• "How would you approach user research for an agentic AI system that learns and adapts over time? What are the unique challenges?" (Highlight your understanding of dynamic systems and research methodologies.)

• "Imagine you're designing a conversational AI assistant for healthcare professionals. What are the key ethical considerations and how would you address them in the design?" (Emphasize responsible AI, empathy, and regulatory awareness.)

• "How do you see tools like Claude Code or Codex changing the UX/UI design and development process? How would you leverage them?" (Showcase your awareness of AI in SDLC and your "should-have" skills.) Company & Culture Questions:

• "How do you align your design process with agile methodologies and the need for rapid iteration?" (Demonstrate your collaborative and agile mindset.)

• "What does 'responsible AI deployment' mean to you, especially in the context of healthcare?" (Show your understanding of ethics and empathy.)

• "How do you contribute to a culture of innovation and continuous learning within a team?" (Highlight your proactive approach and potential for mentorship.) Portfolio Presentation Strategy:

• Start with Impact: Begin by clearly stating the problem and the overall impact of your project.

• Narrate Your Process: Walk through your "fullstack" approach – how research informed design, how you iterated, and how you tested. Use visuals effectively.

• Highlight AI Specifics: For AI projects, explicitly detail the challenges of non-deterministic outputs and how your design addressed them.

• Showcase User Empathy: Explain how user needs and pain points were central to your design decisions.

• Quantify Results: If possible, present metrics demonstrating the success of your designs (e.g., improved task completion, reduced error rates, increased user satisfaction).

• Be Ready for Deep Dives: Prepare to answer detailed questions about your design choices, research methods, and technical considerations.

📝 Enhancement Note: Preparation should focus on demonstrating a deep understanding of AI-specific UX challenges, a robust research and design process, and strong ethical considerations, all within an agile, collaborative framework.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link.

• Curate Your Portfolio: Select 2-3 key projects that best showcase your "fullstack" UX/UI research and design capabilities, specifically highlighting experience with AI, LLMs, or agentic systems. Ensure these projects demonstrate your process from research to high-fidelity design and testing.

• Optimize Your Resume: Tailor your resume to emphasize your 7+ years of UX/UI mastery and 3-5+ years of dedicated user research experience, with specific keywords related to AI, agentic systems, Figma, conversational design, and user advocacy. Quantify achievements wherever possible.

• Prepare Your Narrative: Practice walking through your portfolio projects, focusing on storytelling that clearly articulates the problem, your unique approach to AI-specific challenges, your design solutions, and the impact achieved. Be ready to discuss your "Golden Mean" profile.

• Research Roche: Understand Roche's mission in healthcare, their commitment to innovation, and their approach to digital technology and AI. Consider how your values align with theirs, particularly regarding responsible AI and patient impact.

⚠️ 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.