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, Applied AI

Date Posted: September 09, 2026

Experience Level: 7+ Years (Senior Individual Contributor)

Remote Status: On-site

🚀 Role Summary

• This is a senior individual contributor role focused on bridging user research and high-fidelity UI design for complex, non-deterministic AI systems.

• The position demands a practitioner adept at transforming unpredictable machine learning outputs into intuitive, systemic, and reliable human experiences.

• Key responsibilities include enhancing user trust and engagement with AI-driven features, from embedded enterprise chat to real-time generative UI streams.

• This role is critical for advancing Roche's digital mission by integrating raw algorithmic power with meaningful user value in the Applied AI function.

📝 Enhancement Note: The job title and description emphasize a "fullstack" approach to UX/UI, meaning candidates must demonstrate proficiency in both in-depth user research and detailed UI design, with a specific focus on the unique challenges presented by AI systems. This is not a typical split role; it requires a candidate who can own the entire user experience lifecycle for AI products.

📈 Primary Responsibilities

• Conduct comprehensive user research, including interviews, persona development, and usability testing, to deeply understand target users and their workflows within AI-driven environments.

• Act as a dedicated user advocate, translating complex business needs and the nuances of non-deterministic AI outputs into intuitive and actionable design concepts.

• Design and rigorously test complex workflows and conversational interactions, paying close attention to user reactions to dynamic, variable system outputs.

• Develop and implement systemic UI and conversation design strategies that foster human-like, responsive, and trustworthy interactions with AI agents and LLMs.

• Create flexible, dynamic interfaces and innovative visualizations that effectively represent AI model outputs, manage varying confidence intervals, and integrate real-time LLM streams.

• Ensure all designed interfaces adhere to enterprise design system standards for visual consistency and are accessible, inclusive, and optimized for diverse user needs.

• Produce detailed wireframes, user flows, and interactive prototypes for both desktop and mobile AI applications, with a focus on seamless integration of AI functionalities.

📝 Enhancement Note: The responsibilities highlight a significant shift from traditional UI/UX design. Candidates must be comfortable designing for uncertainty, focusing on how to represent AI confidence levels, handle unexpected outputs gracefully, and build user trust in systems that are inherently fluid and non-deterministic. The emphasis on "conversational design" and "dynamic interfaces" is paramount.

🎓 Skills & Qualifications

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

Experience: 7+ years of comprehensive UX/UI Design mastery, with a demonstrated and progressive evolution into designing for AI-driven and agentic systems.

Required Skills:

• User 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 and drive projects from initial brief to final stakeholder presentation.

• AI Integration Experience: Demonstrated experience designing user interfaces that effectively incorporate Large Language Models (LLMs) and classical Machine Learning outputs, such as conversational assistants and 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.

• End-to-End Design Execution: Ability to conduct an entire design journey from ideation and research through to prototyping and rigorous user testing.

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

• Design Tools Proficiency: Mastery in Figma for creating detailed wireframes, high-fidelity mockups, and interactive prototypes, coupled with a strong understanding of enterprise design systems.

• Prototyping and Testing: Proven ability to create functional interactive prototypes and effectively gather user feedback through structured testing methodologies.

Preferred Skills:

• Developing Experience: Basic software development skills (e.g., ability to edit codebases, create simple code solutions, or understand code logic) to facilitate collaboration with engineering teams and understand system capabilities.

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

• CX Strategy & Integration: Ability to map customer touchpoints and integrate broader Customer Experience (CX) strategy into the product lifecycle, ensuring a holistic user journey.

• Regulatory Compliance: Proven experience working within highly regulated industries, understanding the implications for design and user experience.

• Mentorship & Knowledge Sharing: Interest and potential to contribute to the development of the broader UX community through mentorship and knowledge sharing initiatives.

📝 Enhancement Note: The "Golden Mean" profile described indicates a need for candidates with a strong foundation in design fundamentals, an artistic sensibility, and deep empathy for the end-user. The requirement for basic development skills and familiarity with agentic SDLC tools suggests a forward-thinking team that values close collaboration between design and development, especially in an AI context.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Present 2-3 detailed case studies showcasing your ability to manage projects from initial research and ideation through to high-fidelity design and user testing. These should clearly articulate the problem, your process, the solutions, and the outcomes.

• AI-Specific Design Examples: Include specific examples of interfaces designed for AI-driven applications, particularly those involving LLMs, conversational agents, or dynamic data visualization. Highlight how you addressed non-determinism and user trust.

• Research Methodology Documentation: Showcase your user research process, including examples of user interviews, usability test plans and reports, and how insights directly informed design iterations.

• Figma/Prototyping Showcase: Demonstrate proficiency in Figma by including examples of complex wireframes, user flows, interactive prototypes, and how you leverage design systems.

• Impact & ROI Demonstration: Where possible, quantify the impact of your designs, such as improvements in user task completion rates, reduction in error rates, or increase in user satisfaction metrics related to AI interactions.

Process Documentation:

• Workflow Design & Optimization: Evidence of designing and optimizing complex user workflows, especially those involving dynamic or AI-generated content, demonstrating an understanding of how users navigate uncertainty.

• System Implementation Standards: Showcase how you integrate designs with existing enterprise design systems and ensure consistency across touchpoints, even with evolving AI outputs.

• Measurement and Performance Analysis: Demonstrate how you define and track success metrics for UX/UI in AI applications, linking design decisions to measurable user outcomes and business objectives.

📝 Enhancement Note: For this role, the portfolio is crucial. It needs to go beyond standard UI/UX work and specifically highlight experience with AI, LLMs, and the unique challenges of designing for non-deterministic systems. Candidates should be prepared to discuss their process for building user trust in AI and how they handle ambiguity in design.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Senior UX/UI Researcher & Designer with 7+ years of experience in a major tech hub like Hyderabad, India, and considering the specialized nature of AI/ML design, the estimated salary range is ₹25,00,000 - ₹45,00,000 per annum.

Benefits:

• Comprehensive health insurance coverage for employees and dependents.

• Retirement savings plans and employee stock options (where applicable).

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

• Opportunities for professional development, including access to training, conferences, and workshops focused on AI, UX, and design.

• Relocation assistance may be provided for candidates relocating to Hyderabad.

• Employee assistance programs offering confidential counseling and support services.

Working Hours: 40 hours per week, with a focus on capturing "golden hours" of overlap with Central European Time (CET), typically running through the IST evening. This implies a flexible schedule that accommodates international collaboration.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for senior-level UX/UI professionals in Hyderabad, India, with specialized skills in AI/ML design. Actual compensation will be determined by the candidate's specific experience, qualifications, and the company's internal compensation structure. The working hours are structured to facilitate collaboration with European teams, requiring flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Pharmaceuticals & Healthcare Technology. Roche is a global leader in pharmaceuticals and diagnostics, with a significant and growing investment in digital transformation and applied AI to advance healthcare.

Company Size: Over 100,000 employees globally. This large, established organization offers stability, extensive resources, and opportunities for impact across a vast network.

Founded: 1896. With a long history of innovation, Roche has a strong foundation in scientific discovery and a forward-looking approach to technology.

Team Structure:

• The Applied AI Engineering Team operates in small, agile teams, typically around 9 members, fostering a collaborative and fast-paced environment.

• This role is a Senior Individual Contributor (IC) within the Applied AI function, emphasizing building and executing rather than management.

• Cross-functional collaboration is key, working closely with AI engineers, product managers, and potentially other researchers and designers. Methodology:

• Agile AI Development: The team utilizes agile methodologies, powered by advanced coding agents, to accelerate the development and deployment of AI solutions.

• Data-Driven Insights: Emphasis on user research and data analysis to inform design decisions and validate AI-driven user experiences.

• Iterative Design & Development: Continuous integration of user feedback and iterative improvements are central to the design and development process, especially crucial for fluid AI systems.

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

📝 Enhancement Note: Roche's culture emphasizes innovation, scientific advancement, and a commitment to improving healthcare. For an AI-focused UX/UI role, this translates to an environment where cutting-edge technology is applied to solve real-world health challenges, requiring designers to be both technically adept and deeply empathetic to patient needs.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Individual Contributor (IC) role, positioned at the top tier for individual contributors in the UX/UI discipline. It signifies a high level of expertise, autonomy, and the ability to influence product direction and design strategy without direct management responsibilities.

Reporting Structure: While specific details are not provided, Senior ICs typically report to a UX Lead, Design Manager, or Head of Product/Engineering within the Applied AI function. They are expected to collaborate closely with engineering and product teams.

Operations Impact: The role has a direct and significant impact on the user adoption, trust, and effectiveness of Roche's Applied AI systems. By ensuring AI outputs are translated into intuitive and reliable human experiences, this position directly contributes to the successful deployment of advanced technologies in healthcare, ultimately affecting patient care and scientific advancement.

Growth Opportunities:

• Specialization in AI/ML UX: Deepen expertise in designing for cutting-edge AI technologies, becoming a go-to expert in a rapidly evolving field within Roche.

• Leadership in Design Thinking: Potential to lead design initiatives, mentor junior designers, and contribute to the strategic direction of UX/UI within the Applied AI domain.

• Cross-functional Influence: Gain broad exposure to AI engineering, product management, and potentially research science, expanding your understanding of the entire product lifecycle and influencing strategic decisions.

• Contribution to Global Health Initiatives: Directly contribute to innovative solutions that improve healthcare outcomes on a global scale, offering a strong sense of purpose and impact.

📝 Enhancement Note: This role is ideal for an experienced designer who wants to remain hands-on and specialize in the complex and rewarding field of AI UX. Growth will likely come from deepening expertise, leading complex projects, and influencing broader design strategy within Roche's digital transformation efforts.

🌐 Work Environment

Office Type: On-site role in Hyderabad, India. This suggests a collaborative office setting designed to foster teamwork and in-person innovation.

Office Location(s): Hyderabad, Telangana, India. This location is a major technology and life sciences hub, offering access to a skilled talent pool and a vibrant professional community.

Workspace Context:

• The environment is described as small, agile teams using advanced coding agents, implying a modern, tech-forward workspace that encourages rapid iteration and collaboration.

• Expect access to contemporary design tools and potentially experimental AI development environments.

• Opportunities for direct interaction with AI engineers and product teams will be frequent, fostering a dynamic and intellectually stimulating atmosphere.

Work Schedule: Standard full-time hours (40 hours/week), with a specific emphasis on accommodating overlap with Central European Time (CET). This means working hours will likely extend into the IST evening to facilitate synchronous communication and collaboration with teams in Europe.

📝 Enhancement Note: The on-site requirement in Hyderabad, combined with the need for CET overlap, suggests a structured work environment that prioritizes in-person collaboration while also demanding flexibility for global communication.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the core requirements, particularly experience in AI/ML UX and end-to-end design.

• Skills Assessment: Likely involves a technical or design challenge, potentially a take-home assignment or a live design exercise focusing on a specific AI-related UX problem. This will assess your research, design, prototyping, and problem-solving skills.

• Portfolio Deep Dive: A session dedicated to walking through your portfolio. Be prepared to discuss your process, design decisions, challenges, and outcomes for each case study, especially those involving AI.

• Behavioral & Situational Interviews: Questions to assess your collaboration style, problem-solving approach, communication skills, empathy, and fit with Roche's culture and the Applied AI team's agile methodology.

• Stakeholder/Hiring Manager Interview: Final discussion to evaluate strategic thinking, leadership potential, and overall fit for the senior IC role.

Portfolio Review Tips:

• Curate for AI Relevance: Prioritize case studies that showcase your experience with AI, LLMs, conversational interfaces, and designing for non-deterministic systems. Clearly articulate the unique challenges and solutions.

• Process Over Polish: While visual quality matters, focus on clearly explaining your end-to-end design process – research, ideation, iteration, testing, and outcomes. Show your thinking, not just the final product.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs. How did your work improve user experience, efficiency, or trust in AI systems?

• Storytelling: Frame your case studies as compelling narratives. What was the problem, how did you approach it, what were the key insights, what was your solution, and what was the result?

• Be Ready for Questions: Anticipate questions about your design rationale, how you handle ambiguity, how you build user trust in AI, and how you collaborate with engineers.

Challenge Preparation:

• Understand AI Nuances: Familiarize yourself with common challenges in AI/ML UX, such as explainability, bias, user trust, and handling uncertainty.

• Practice End-to-End Design: Be prepared to outline a design process for a hypothetical AI product or feature, from defining user needs to proposing a tested solution.

• Figma & Prototyping: Ensure your Figma skills are sharp for rapid prototyping and demonstrating interactive concepts.

• Communication of Complex Ideas: Practice articulating complex design concepts and research findings clearly and concisely, especially when explaining them to technical stakeholders.

📝 Enhancement Note: The interview process will heavily scrutinize your ability to handle the ambiguity and unique challenges of designing for AI. A strong portfolio that demonstrates this specific expertise, coupled with clear articulation of your thought process and research-backed decisions, will be critical.

🛠 Tools & Technology Stack

Primary Tools:

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

• Enterprise Design Systems: Proficiency in leveraging and contributing to established design systems for consistency.

• User Research Platforms: Experience with tools for conducting interviews, surveys, and usability testing (e.g., UserTesting.com, Maze, Qualtrics, or internal tools).

• Prototyping Tools: Beyond Figma, familiarity with other prototyping tools may be beneficial for specific needs.

Analytics & Reporting:

• Analytics Platforms: Experience with tools to track user behavior and product performance (e.g., Google Analytics, Amplitude, Mixpanel) to inform design decisions.

• Data Visualization Tools: Ability to interpret and potentially create visualizations to represent AI model outputs or user data (e.g., Tableau, Power BI, or custom solutions).

CRM & Automation:

• Agentic SDLC Tools: Familiarity with or experience using AI-powered coding assistants and development lifecycle tools like Claude Code or Codex for rapid prototyping and collaboration with engineers.

• Collaboration Platforms: Tools like Jira, Confluence, Slack, Microsoft Teams for agile team collaboration and communication.

📝 Enhancement Note: While Figma is explicitly mentioned, the emphasis on "Agentic SDLC tools" like Claude Code and Codex suggests that Roche is at the forefront of integrating AI into the design and development workflow. Candidates with even basic coding understanding or exposure to these tools will have an advantage.

👥 Team Culture & Values

Operations Values:

• Innovation & Scientific Rigor: A culture that drives continuous innovation in both scientific discovery and technological application, underpinned by a commitment to data-driven validation.

• User-Centricity & Empathy: Deep focus on understanding and serving the needs of patients and healthcare professionals, fostering an empathetic approach to design and development.

• Collaboration & Open Dialogue: Encouragement of open communication, diverse perspectives, and strong teamwork across functions and global locations.

• Efficiency & Agility: A drive to deliver impactful solutions efficiently through agile methodologies and leveraging advanced tools like AI coding agents.

• Integrity & Responsibility: Strong emphasis on ethical considerations, particularly in AI deployment, ensuring responsible innovation and patient safety.

Collaboration Style:

• Agile & Iterative: Teams work in short sprints, with continuous feedback loops and rapid iteration based on user input and technical advancements.

• Cross-Functional Integration: Close collaboration between UX/UI, AI engineers, product managers, and potentially data scientists is essential for success.

• Knowledge Sharing: A culture that values sharing best practices, learnings, and insights, particularly within the Applied AI and UX communities.

• Proactive Problem-Solving: An environment where team members are encouraged to identify challenges and proactively propose solutions, especially in the dynamic field of AI.

📝 Enhancement Note: The core values at Roche, particularly in its digital and AI functions, revolve around innovation, user impact, and ethical responsibility. For this role, it means contributing to technology that genuinely improves lives, while navigating the complexities of AI with integrity and empathy.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Non-Determinism: The primary challenge is creating user experiences that are intuitive, trustworthy, and reliable when the underlying AI outputs are inherently fluid and unpredictable.

• Building User Trust in AI: Overcoming potential user skepticism or fear of AI by designing transparent, understandable, and controllable interactions.

• Rapidly Evolving AI Landscape: Staying abreast of the fast-paced advancements in AI and LLMs and translating them into practical, user-centric solutions.

• Integrating AI into Established Workflows: Effectively embedding AI-driven features into existing enterprise systems and user workflows without causing disruption or confusion.

Learning & Development Opportunities:

• Specialized AI UX Training: Access to internal and external resources focused on the unique aspects of designing for AI, ML, and agentic systems.

• Industry Conferences & Certifications: Opportunities to attend leading UX, AI, and design conferences to stay current and network.

• Mentorship Programs: Potential to be mentored by senior leaders or to mentor junior team members, fostering leadership skills.

• Exposure to Cutting-Edge Technology: Working with advanced AI tools and platforms, providing hands-on experience with the future of technology development.

📝 Enhancement Note: The challenges presented are significant but also represent major growth opportunities. Successfully navigating these complexities will position the candidate as a highly skilled professional in a critical and emerging field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an interface for a system with unpredictable outputs. How did you approach building user trust and ensuring usability?" (Focus on your process, research, and specific design choices for handling ambiguity.)

• "How would you approach designing a conversational AI agent for healthcare professionals that needs to provide real-time, potentially variable, data insights?" (Demonstrate your understanding of AI UX principles, user needs in a regulated context, and your process for handling complex information.)

• "Walk me through your process for conducting user research on a novel AI application. What methods would you prioritize, and how would you translate findings into actionable design recommendations?" (Highlight your research autonomy and ability to connect insights to design.) Company & Culture Questions:

• "Why are you interested in applying AI to healthcare challenges at Roche specifically?" (Showcase your understanding of Roche's mission and your passion for the intersection of AI and health.)

• "How do you see your 'fullstack' UX/UI approach contributing to our agile AI development teams?" (Emphasize your ability to bridge research and design and your collaborative spirit.)

• "What are your thoughts on ethical AI development, and how do you incorporate these principles into your design practice?" (Demonstrate your awareness of responsible AI deployment and user empathy.) Portfolio Presentation Strategy:

• Structure Your AI Case Studies: For each AI-related project, clearly define the problem, your specific role, the AI technology involved, the research methodology, the design solutions (especially for uncertainty and trust), user testing results, and quantifiable outcomes.

• Highlight Your Process: Walk through your end-to-end journey, emphasizing how research informed design and how testing led to iterations. For AI projects, detail how you managed ambiguity.

• Showcase Figma Skills: Be prepared to briefly demonstrate elements of your prototypes or design system work in Figma, showing your technical proficiency.

• Focus on Impact: Clearly articulate the value your designs brought to the users and the business. For AI, this might include improved task efficiency, better decision-making, or increased user confidence.

📝 Enhancement Note: Preparation should focus on demonstrating not just design skills, but a deep understanding of AI's unique challenges and opportunities. Candidates should be ready to articulate their philosophy on designing for AI and how they build user trust in complex, evolving systems.

📌 Application Steps

To apply for this Fullstack UX/UI Researcher & Designer position:

• Submit your application through the Roche careers portal via the provided link.

• Curate Your Portfolio: Select 2-3 of your strongest case studies, prioritizing those that showcase your experience with AI/LLM systems, your end-to-end design process, and your ability to handle non-deterministic outputs. Ensure each case study clearly articulates the problem, your approach, your solutions, and the measurable outcomes.

• Tailor Your Resume: Highlight keywords from the job description, such as "Applied AI," "Agentic AI," "Generative AI," "UX Research," "UI Design," "Figma," "Usability Testing," and "Conversational Design." Quantify your achievements wherever possible.

• Prepare for a Design Challenge: Anticipate a practical exercise that will assess your skills in research, design, and prototyping, likely with an AI-centric focus. Practice articulating your thought process clearly.

• Research Roche & Applied AI: Understand Roche's mission in healthcare, their digital technology initiatives, and the specific focus of the Applied AI team. Prepare to discuss how your skills align with their goals and how you can contribute to their unique challenges.

⚠️ 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.