UX Design Engineer — AI & Agentic Systems

📍 Job Overview

Job Title: UX Design Engineer — AI & Agentic Systems Company: Thermo Fisher Scientific Location: Bengaluru, Karnataka, India Job Type: FULL_TIME Category: UX Design / Product Design / AI Design Date Posted: 2026-02-12 Experience Level: 5-10 years Remote Status: On-site

🚀 Role Summary

• Designs and prototypes AI-driven and agentic product experiences, focusing on systems that reason, recommend, and act autonomously.
• Leverages advanced prototyping tools like Figma Make to model complex behaviors, transitions, and edge cases for intelligent systems.
• Collaborates closely with product managers and engineers to translate conceptual ideas into tangible, user-centered AI features.
• Defines sophisticated interaction patterns for complex systems, ensuring a balance between automation, transparency, and user control.
• Contributes to establishing and refining internal best practices for designing and implementing AI-powered user experiences within the organization.

📝 Enhancement Note: This role is highly specialized, focusing on the intersection of User Experience (UX) design and cutting-edge Artificial Intelligence (AI) and agentic systems. The emphasis on "building with AI, not just designing for it" and using "Figma Make" indicates a hands-on, deeply technical UX role that requires a strong understanding of system logic, behavior modeling, and close collaboration with engineering teams. This is not a typical UX role focused solely on user interfaces; it demands a systems-thinking approach.

📈 Primary Responsibilities

• Design and prototype interactive experiences for AI-driven and agentic product features, including complex workflows where the system autonomously reasons, recommends actions, and executes them.
• Utilize Figma Make to create advanced, interactive prototypes that go beyond static screens, effectively modeling system behavior, dynamic transitions, and critical edge cases.
• Partner closely with cross-functional teams, including product managers and software engineers, to shape product features from early conceptualization through to successful implementation.
• Define and document interaction patterns for complex, AI-powered systems, carefully balancing the benefits of automation with the need for transparency and user control.
• Conduct user testing and iterative design refinements based on feedback, particularly for novel or ambiguous AI behaviors, ensuring usability and trustworthiness.
• Contribute to the development and documentation of internal best practices, guidelines, and standards for designing and implementing AI-powered user experiences.
• Ensure designs adhere to accessibility standards (e.g., WCAG) and inclusive design principles, adapting them for dynamic and intelligent interfaces.

📝 Enhancement Note: The responsibilities highlight a deep dive into the practical application of AI in product design. The emphasis on "workflows where the system reasons, recommends, and acts" and the specific mention of "Figma Make" for modeling "behavior, transitions, and edge cases" point to a role that requires a strong grasp of state management, logical flow, and system dynamics, going beyond traditional UI design.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in Design, Engineering, Human-Computer Interaction (HCI), Computer Science, or a related technical field.
• Equivalent practical experience in building and prototyping complex software systems will also be considered.

Experience:

• Typically 5+ years of experience in designing digital products, platforms, or complex workflows.
• Demonstrated experience in building and prototyping sophisticated software systems.

Required Skills:

• Figma Proficiency: Strong command of Figma, including advanced prototyping capabilities and familiarity with AI-assisted design workflows.
• Interaction Design: Expertise in designing complex or system-driven products, platforms, workflows, developer tools, automation, or AI-adjacent products.
• Systems Thinking: Ability to think critically in terms of flows, logic, states, and behaviors, rather than solely static user interface elements.
• Prototyping: Proven experience in creating interactive prototypes that model system behavior and edge cases.
• Collaboration: Comfort and demonstrated ability to work closely with engineers and understand technical constraints and possibilities.
• Communication: Clear and concise communication skills, with the ability to articulate design decisions and reasoning effectively.
• AI Curiosity: Genuine curiosity and interest in Artificial Intelligence, agentic systems, and emerging design tools.
• Accessibility & Inclusivity: Working knowledge of accessibility standards (e.g., WCAG) and inclusive design principles, with an understanding of their application to dynamic and AI-driven interfaces.

Preferred Skills:

• Experience with AI-powered prototyping tools beyond Figma.
• Familiarity with scripting or basic programming concepts to inform prototyping.
• Experience in scientific or laboratory software environments.
• Understanding of machine learning concepts and their impact on user experience.

📝 Enhancement Note: The requirement for "5+ years of experience designing digital products, platforms, or workflows—or equivalent experience building and prototyping complex software systems" suggests a mid-to-senior level role. The emphasis on "Figma Make" and "AI-assisted design workflows" is a strong indicator of the specific toolset and methodology expected. The preference for "system-level thinking" and "hands-on experience" over formal credentials implies a practical, results-oriented approach to hiring.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Systems Thinking: Showcase projects where you've designed complex systems, workflows, or products requiring a deep understanding of logic, states, and user flows.
• Advanced Prototyping Examples: Include examples of interactive prototypes, ideally created with tools like Figma Make, that effectively model system behavior, dynamic transitions, and edge cases.
• AI/Automation Project Showcase: Highlight any experience designing for AI-driven features, automation, or agentic systems, detailing your approach to user control, transparency, and trust.
• Collaboration and Iteration: Provide evidence of close collaboration with engineering and product teams, demonstrating your process for iterating on designs based on technical feedback and user testing.
• Impact and ROI: Where possible, quantify the impact of your design work, focusing on efficiency gains, improved user outcomes, or enhanced system performance.

Process Documentation:

• Workflow Design: Document your process for mapping out complex user journeys and system interactions, especially for AI-driven or agentic workflows.
• Prototyping Methodology: Clearly explain your approach to prototyping, including how you use advanced features and AI tools to test and validate system behaviors and interactions.
• Feedback Integration: Detail how you incorporate feedback from engineering, product management, and user testing into your design process, particularly for ambiguous or novel AI features.
• Best Practice Development: Showcase any contributions you've made to establishing design guidelines or best practices, especially concerning AI and complex systems.

📝 Enhancement Note: For this highly specialized role, the portfolio is paramount. It needs to go beyond standard UI design presentations to demonstrate a deep understanding of system logic, interactive prototyping capabilities (specifically with tools like Figma Make), and experience with AI/agentic systems. The ability to articulate a structured design process for complex, evolving technologies is critical.

💵 Compensation & Benefits

Salary Range:

• For a UX Design Engineer with 5-10 years of experience in Bengaluru, India, specializing in AI and Agentic Systems, the estimated annual salary range is typically between ₹15,00,000 to ₹25,00,000 (Indian Rupees). This range can vary based on specific experience, skill set, and the precise scope of responsibilities within Thermo Fisher Scientific.

Benefits:

• Comprehensive health insurance, including medical, dental, and vision coverage.
• Retirement savings plans and employee stock purchase options.
• Paid time off, including vacation days, sick leave, and public holidays.
• Opportunities for professional development, including training, conferences, and access to cutting-edge design and AI tools.
• Employee assistance programs and wellness initiatives.
• Potential for performance-based bonuses and incentives.

Working Hours:

• Standard working hours are Monday to Friday, typically 40 hours per week.
• Flexibility may be available, but the role is primarily on-site, requiring consistent in-office presence.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for experienced UX Design Engineers in major tech hubs in India (like Bengaluru) with specialized skills in AI and advanced prototyping. Benefits are standard for a large, multinational corporation like Thermo Fisher Scientific. The "Standard (Mon-Fri)" and "Office" environmental conditions confirm the on-site requirement.

🎯 Team & Company Context

🏢 Company Culture

Industry: Life Sciences, Healthcare, Biotechnology, and Scientific Instrumentation. Thermo Fisher Scientific is a global leader providing essential products and services to researchers, clinicians, and scientists worldwide. Company Size: Thermo Fisher Scientific is a large, multinational corporation with over 100,000 employees globally. This scale offers significant resources, global reach, and diverse career opportunities. Founded: Founded in 1956, Thermo Fisher Scientific has a long history of innovation and growth, establishing itself as a cornerstone of scientific advancement.

Team Structure:

• The UX Design team likely operates within a larger Product Development or R&D division, possibly supporting specific business units or product lines.
• This role reports to a Design Lead or Manager, with close reporting lines to Product Management and Engineering leads for project execution.
• Collaboration is central, with frequent interaction with software engineers, AI/ML specialists, product managers, and other UX designers/researchers.

Methodology:

• Thermo Fisher Scientific likely employs a mix of Agile and Waterfall methodologies, depending on the project and product lifecycle. For AI and agentic systems, an iterative, agile approach is probable.
• Emphasis on data-driven decision-making, rigorous testing, and adherence to quality and regulatory standards, especially given the scientific and healthcare context.
• Focus on user-centered design principles, even within complex technical environments, ensuring that scientific and operational workflows are optimized for usability and effectiveness.

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

📝 Enhancement Note: As a major player in the life sciences sector, Thermo Fisher Scientific's culture will blend scientific rigor with technological innovation. The "Office" environment indicates a preference for in-person collaboration, which is beneficial for complex design challenges involving AI and systems thinking. The company's size suggests structured processes but also opportunities for impact within specialized teams.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a UX Design Engineer, indicating a blend of design expertise and engineering-minded problem-solving. With 5-10 years of experience, it's a mid-to-senior level position focused on specialized technical design challenges. Reporting Structure: The role will likely report to a UX Design Manager or Lead, with close project-level collaboration and reporting to Product Managers and Engineering Leads for specific features or product areas. Operations Impact: The UX Design Engineer will have a direct impact on the usability, trustworthiness, and effectiveness of Thermo Fisher Scientific's AI-driven products. By simplifying complex systems and improving AI interactions, this role contributes to scientific progress, operational efficiency for customers, and the overall adoption of advanced technologies.

Growth Opportunities:

• Specialization: Deepen expertise in AI/Agentic System design, becoming a go-to specialist within the organization for these cutting-edge areas.
• Leadership: Progress into a Senior UX Design Engineer role, mentoring junior designers, or transitioning into a UX Design Lead position overseeing specific product areas or teams.
• Cross-Functional Mobility: Opportunities to work on diverse product lines or collaborate with different R&D teams, gaining broad exposure to Thermo Fisher Scientific's vast product portfolio.
• Skill Development: Continuous learning through internal training, external conferences, and hands-on experience with emerging AI and design technologies.

📝 Enhancement Note: The role offers significant growth potential within a specialized and rapidly evolving field. The emphasis on "building with AI" and "Figma Make" suggests opportunities to become a leader in adopting and defining new design paradigms for intelligent systems.

🌐 Work Environment

Office Type: The role is based in an "Office" environment, suggesting a traditional corporate setting conducive to collaborative work. Office Location(s): Bengaluru, Karnataka, India. This location is a major hub for technology and R&D in India, offering access to a strong talent pool. Workspace Context:

• The office setting likely provides a structured environment for focused individual work and facilitates spontaneous collaboration with colleagues.
• Access to standard office technology, design software, and potentially specialized AI/ML development environments.
• Opportunities for direct interaction with engineers, product managers, and fellow designers, fostering a dynamic problem-solving atmosphere.

Work Schedule:

• The "Standard (Mon-Fri)" work schedule indicates a typical 5-day work week.
• While primarily on-site, there might be some flexibility for remote work on occasion, though the core expectation is in-office presence for team synergy and collaboration.

📝 Enhancement Note: The "Office" environmental condition is significant. It implies that the company values in-person collaboration for complex, innovative work, especially in areas like AI and systems design where rapid iteration and deep discussion are crucial.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio by a recruiter and hiring manager, focusing on relevant experience in UX design, AI, and complex systems.
• Portfolio Presentation: An in-depth session where you present your portfolio, showcasing specific projects related to AI, agentic systems, complex workflows, and advanced prototyping (e.g., using Figma Make). Be prepared to discuss your design process, challenges, and outcomes.
• Technical/Design Interview: A discussion with design and engineering team members focusing on your approach to systems thinking, interaction design for AI, prototyping methodologies, and collaboration skills. You might be asked to solve design problems or discuss hypothetical scenarios.
• Behavioral Interview: Assessment of your cultural fit, problem-solving abilities, communication style, and alignment with Thermo Fisher Scientific's values and the team's collaborative approach.
• Final Interview: May involve senior leadership or key stakeholders to assess overall fit and strategic alignment.

Portfolio Review Tips:

• Highlight AI/Agentic Systems: Prioritize projects that demonstrate your experience with AI, machine learning, or agentic systems. Clearly articulate the problem, your solution, and the impact.
• Showcase Figma Make Expertise: If you have examples using Figma Make for advanced prototyping (modeling behavior, states, logic), make these prominent. Explain why you chose this tool and methodology.
• Detail Your Process: For each project, clearly outline your design process, emphasizing systems thinking, iterative design, and collaboration with engineering. Use diagrams or flowcharts where appropriate.
• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your designs (e.g., improved efficiency, reduced errors, increased user adoption).
• Explain Ambiguity Navigation: Show how you handle ambiguity and uncertainty, particularly when designing for novel AI behaviors.

Challenge Preparation:

• Expect potential design challenges that test your systems-thinking abilities, your approach to designing for AI, and your prototyping skills.
• Be ready to articulate your design decisions clearly and defend them with logical reasoning, user needs, and technical considerations.
• Practice explaining complex technical or AI concepts in a clear, user-centric manner.

📝 Enhancement Note: The emphasis on "Figma Make" and "AI-powered experiences" means candidates should specifically curate their portfolios and prepare for discussions around these areas. Demonstrating a systems-level understanding and the ability to prototype complex behaviors is crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, advanced prototyping, and collaboration. Specific emphasis on Figma Make for modeling complex behaviors and agentic systems.
• Prototyping Tools: Beyond Figma, familiarity with other advanced prototyping tools that can handle logic, states, and system behavior modeling is a plus.
• Design Systems: Experience contributing to or working within established design systems.

Analytics & Reporting:

• While not primary, understanding how user data and analytics inform design decisions is valuable. Familiarity with tools like Google Analytics, Amplitude, or Mixpanel might be beneficial for understanding user behavior within designed systems.

CRM & Automation:

• Less directly relevant for this UX role, but understanding how user data flows from CRM systems can provide context for product design.

📝 Enhancement Note: The explicit mention of "Figma Make" and "AI-powered prototyping tools" makes these central to the required technology stack. Proficiency in these specific areas is a key differentiator.

👥 Team Culture & Values

Operations Values:

• Innovation & Scientific Rigor: A commitment to pushing the boundaries of science and technology while maintaining high standards of accuracy and reliability.
• Customer Focus: Dedication to understanding and serving the needs of scientists, researchers, and clinicians.
• Integrity & Responsibility: Upholding ethical standards and ensuring the safety and effectiveness of products.
• Collaboration & Teamwork: Working together across disciplines and geographies to achieve common goals.
• Efficiency & Excellence: Striving for operational excellence and continuous improvement in all aspects of work.

Collaboration Style:

• Highly collaborative, with designers working hand-in-hand with product managers and engineers from concept to launch.
• Emphasis on open communication, constructive feedback, and shared ownership of product success.
• A culture that encourages experimentation and learning, particularly in the rapidly evolving field of AI.

📝 Enhancement Note: The values are typical for a large, science-focused corporation, emphasizing precision, innovation, and collaboration. The role's focus on AI and agentic systems suggests an environment that embraces cutting-edge technology and iterative development.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating the inherent uncertainty and rapid evolution of AI technologies to create usable and trustworthy experiences.
• Balancing Automation and Control: Finding the right equilibrium between intelligent automation and providing users with sufficient control and transparency.
• Technical Complexity: Translating complex, system-driven AI behaviors into intuitive user interactions.
• Rapid Iteration: Adapting quickly to new research, technological advancements, and evolving user needs in the AI space.
• Cross-Disciplinary Communication: Effectively bridging the gap between design, engineering, and AI/ML expertise.

Learning & Development Opportunities:

• AI/ML Specialization: Opportunities to deepen knowledge in AI concepts, machine learning principles, and agentic system design.
• Advanced Prototyping: Mastering new design and AI-powered prototyping tools and techniques.
• Industry Exposure: Engaging with cutting-edge research and development within the life sciences and AI sectors.
• Mentorship: Learning from experienced engineers, product managers, and senior designers within Thermo Fisher Scientific.
• Contribution to Best Practices: Playing a key role in defining the future of AI design within the company.

📝 Enhancement Note: The challenges are directly related to the cutting-edge nature of AI and agentic systems design. Growth opportunities are geared towards specialization in this high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex system or workflow. What was your process, and what were the key challenges?" (Focus on systems thinking, logic, states, and user flows.)
• "How would you approach designing an AI agent that needs to reason, recommend, and act autonomously? What are the critical UX considerations?" (Prepare to discuss transparency, user control, error handling, and trust.)
• "Walk us through a project where you used advanced prototyping tools (like Figma Make) to model system behavior or edge cases. What did you learn?" (Be ready to demonstrate your technical prototyping skills and process.)
• "How do you balance automation with user control in AI-driven interfaces?" (Think about progressive disclosure, overrides, and feedback mechanisms.)

Company & Culture Questions:

• "What interests you about Thermo Fisher Scientific and our work in the life sciences?" (Research the company's mission and recent innovations.)
• "How do you approach collaboration with engineers and product managers on complex technical projects?" (Highlight your communication and teamwork skills.)
• "How do you stay current with advancements in AI and UX design?" (Show your passion for continuous learning.)

Portfolio Presentation Strategy:

• Focus on Process: For each project, clearly articulate your role, the problem, your design process (including user research, ideation, prototyping, testing), and the final outcome.
• Showcase AI/Agentic Systems: Make sure your portfolio includes specific examples related to AI, automation, or complex system interactions.
• Demonstrate Figma Make Use: If applicable, show how you used Figma Make to model dynamic behavior, states, or logic, explaining the benefits of this approach.
• Quantify Impact: Present metrics that demonstrate the success of your design solutions.
• Be Ready for Questions: Anticipate questions about your design decisions, technical constraints, and how you handled challenges.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating systems thinking, advanced prototyping skills (especially with Figma Make), and a clear understanding of designing for AI and agentic systems. The ability to articulate a structured design process and navigate ambiguity is key.

📌 Application Steps

To apply for this UX Design Engineer position:

• Submit your resume and a link to your online portfolio through the Thermo Fisher Scientific careers portal.
• Portfolio Customization: Curate your portfolio to prominently feature projects demonstrating your experience with AI, agentic systems, complex workflows, and advanced prototyping (especially using Figma Make). Clearly articulate your process and the impact of your work.
• Resume Optimization: Ensure your resume highlights keywords such as "UX Design," "AI," "Agentic Systems," "Interaction Design," "Figma Make," "Prototyping," "Systems Thinking," and relevant years of experience. Quantify achievements where possible.
• Interview Preparation: Practice discussing your portfolio projects, focusing on your process for designing complex systems and AI-driven features. Prepare to answer technical and behavioral questions related to collaboration and problem-solving.
• Company Research: Familiarize yourself with Thermo Fisher Scientific's mission, values, and recent work in AI and life sciences to articulate your interest and cultural fit.

⚠️ 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.