UX Design Engineer — AI & Agentic Systems

📍 Job Overview

Job Title: UX Design Engineer — AI & Agentic Systems

Company: Thermo Fisher Scientific

Location: Bangalore, India

Job Type: FULL_TIME

Category: UX/UI Design & Engineering, AI/ML Product Development

Date Posted: 2026-05-15

Experience Level: 5-10 years

Remote Status: Hybrid (Office-based with potential for remote flexibility)

🚀 Role Summary

• Design and prototype advanced AI-driven and agentic product experiences, focusing on complex workflows where systems reason, recommend, and act.

• Leverage cutting-edge tools like Figma Make and AI-powered prototyping to rapidly explore, test, and refine user interactions for intelligent systems.

• Collaborate closely with product managers and engineers to drive features from initial concept through successful implementation, ensuring user-centricity.

• Define and establish robust interaction patterns for complex, system-driven products, balancing automation, transparency, and user control.

• Contribute to shaping the future of AI and agentic systems design by helping to establish internal best practices and innovative methodologies.

📝 Enhancement Note: This role is specifically focused on the intersection of UX Design and cutting-edge AI/Agentic Systems. The emphasis on "building with AI, not just designing for it" and using "AI-powered prototyping tools" indicates a highly hands-on and experimental approach, moving beyond traditional UI design. The target candidate needs to be comfortable with system-level thinking, logic, and states, and possess a strong engineering or prototyping mindset.

📈 Primary Responsibilities

• Conceptualize, design, and prototype AI-driven and agentic product experiences, particularly focusing on workflows where the system actively reasons, recommends actions, and executes them autonomously.

• Utilize Figma Make and other advanced prototyping tools to build interactive simulations that model complex behaviors, dynamic transitions, and critical edge cases, going beyond static screen designs.

• Act as a key partner to product managers and engineers, actively shaping product features from early-stage ideation and concept development through to final implementation and release.

• Develop clear and scalable interaction patterns for sophisticated system-driven products, ensuring a harmonious balance between system automation, user transparency, and meaningful user control.

• Conduct rigorous testing and iterative refinement of designs based on user feedback, with a particular focus on novel or ambiguous AI behaviors and complex system interactions.

• Play a crucial role in defining and documenting internal best practices, design principles, and methodologies for creating effective and trustworthy AI-powered user experiences.

• Champion inclusive design principles and accessibility standards (e.g., WCAG) within the context of dynamic and AI-driven interfaces, ensuring equitable user experiences.

• Contribute to the strategic direction of AI product development by providing design insights and user-centric perspectives during feature planning and roadmap discussions.

📝 Enhancement Note: The responsibilities highlight a deep dive into the operationalization of AI features. The emphasis on "modeling behavior, transitions, and edge cases" with Figma Make suggests a need for sophisticated prototyping skills beyond basic click-throughs. The close partnership with PMs and engineers points to a collaborative, integrated product development cycle.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in Design, Engineering, Human-Computer Interaction (HCI), Computer Science, or a closely related technical or design field; or equivalent practical experience demonstrating a strong aptitude for complex system design and prototyping.

Experience:

• Typically 5+ years of progressive experience in designing digital products, platforms, or intricate workflows.

Required Skills:

• UX Design & Prototyping: Mastery in designing intuitive user experiences for complex digital products and platforms.

• Figma & Prototyping Tools: Advanced proficiency with Figma, including its collaboration features and high-fidelity prototyping capabilities. Strong comfort with AI-assisted design workflows and tools like Figma Make.

• System-Level Thinking: Proven ability to think in terms of flows, states, logic, and system behaviors rather than solely static UI elements.

• Interaction Design for Complex Systems: Experience designing for products that involve intricate logic, automation, AI, or complex workflows (e.g., platforms, developer tools, data analysis systems).

• Collaboration with Engineering: Demonstrated ability to work effectively and collaboratively with software engineers, understanding technical constraints and contributing to technical feasibility discussions.

• Communication & Rationale: Excellent verbal and written communication skills, with the ability to clearly articulate design decisions, rationale, and user-centric arguments beyond visual presentations.

• AI & Agentic Systems Curiosity: A genuine and demonstrable interest in Artificial Intelligence, agentic systems, and the evolving landscape of AI-powered design tools and methodologies.

• Accessibility & Inclusive Design: Working knowledge of accessibility standards (e.g., WCAG) and inclusive design principles, with a keen understanding of their application to dynamic and AI-driven interfaces.

Preferred Skills:

• Experience designing products specifically for scientific research, laboratory environments, or regulated industries.

• Familiarity with AI/ML concepts and their practical application in user-facing products.

• Experience with AI-powered prototyping or simulation tools beyond Figma Make.

• A portfolio showcasing projects that demonstrate system-level design, complex workflow optimization, or AI integration.

• Familiarity with Agile development methodologies and cross-functional team collaboration.

📝 Enhancement Note: The requirement for 5+ years of experience, coupled with the emphasis on advanced Figma capabilities and AI/agentic systems, suggests a mid-to-senior level role. The "equivalent practical experience" clause for education is a significant indicator that a strong portfolio and demonstrable skills are paramount. The "Not a Fit If You" section clearly defines the desired mindset and approach, emphasizing a proactive, experimental, and systems-oriented designer.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate System-Level Design Thinking: Showcase projects where you've designed for complex systems, illustrating your ability to map out flows, states, decision trees, and interactions within a larger architecture.

• Illustrate AI/Agentic System Design: Include case studies of projects that involve AI, automation, or agentic behaviors, explaining the design challenges, your approach to user control and transparency, and the outcomes.

• Figma Prototyping Prowess: Highlight examples of advanced prototyping in Figma, ideally demonstrating dynamic interactions, state changes, or behavioral modeling beyond simple click-throughs. Use of Figma Make or similar AI-assisted tools is a plus.

• Process Optimization Case Studies: Present projects where your design interventions led to measurable improvements in workflow efficiency, task completion rates, or user task success within complex environments.

• Collaboration Evidence: If possible, include examples or descriptions of how you collaborated with engineers and product managers, illustrating your role in the product development lifecycle.

Process Documentation:

• Your portfolio should implicitly or explicitly demonstrate your ability to document design processes, including:
  • Workflow Design & Optimization: Clearly map out existing and proposed workflows, detailing user journeys, system interactions, and optimization strategies.
  • System Logic & State Modeling: Provide examples of how you've modeled system logic, states, and transitions to ensure predictable and understandable user experiences.
  • User Feedback & Iteration: Show evidence of how user feedback was incorporated into design iterations, especially for complex or novel features.

📝 Enhancement Note: For a role focused on AI and agentic systems, the portfolio needs to go beyond traditional UI/UX. It must showcase the ability to model behavior, logic, and complex system interactions. The emphasis on Figma Make implies a need for demonstrated skills in advanced, dynamic prototyping.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for UX Design Engineers with 5-10 years of experience in a major tech hub like Bangalore, India, specializing in AI/ML and complex systems, the estimated annual salary range is ₹18,00,000 - ₹35,00,000 INR. This range accounts for the specialized nature of AI/agentic systems design and Thermo Fisher Scientific's position as a global leader.

• Methodology: This estimate is derived from analyzing compensation data for similar roles in Bangalore across international tech companies, factoring in experience level, the niche skill set (AI/Agentic Systems, advanced Figma prototyping), and the company's industry and reputation.

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and dependents.

• Retirement Savings Plan: Contribution towards provident fund (PF) and other retirement planning schemes as per Indian regulations.

• Paid Time Off: Generous vacation days, sick leave, and public holidays.

• Professional Development: Opportunities for training, certifications, conferences, and access to learning resources relevant to AI, UX, and design.

• Employee Assistance Program (EAP): Support services for personal and professional well-being.

• Performance Bonuses: Potential for annual performance-based bonuses.

• Relocation Assistance: May be available for candidates relocating to Bangalore.

• Employee Discount Programs: Discounts on Thermo Fisher Scientific products and services.

Working Hours:

• Standard work schedule is Monday to Friday, typically 40 hours per week.

• While office-based, the role implies a hybrid arrangement, suggesting potential for some remote work flexibility, especially for focused design and prototyping tasks.

📝 Enhancement Note: Salary estimation for Bangalore is based on current market data for experienced tech professionals in specialized fields. Benefits are standard for large multinational corporations in India, with an emphasis on professional development relevant to the AI/UX domain.

🎯 Team & Company Context

🏢 Company Culture

Industry: Life Sciences, Healthcare, Scientific Instrumentation, and Laboratory Services. Thermo Fisher Scientific is a global leader providing essential products and services to researchers, clinicians, and pharmaceutical companies.

Company Size: Large enterprise (over 100,000 employees globally). This size offers stability, extensive resources, and opportunities for large-scale impact, while potentially requiring navigation of larger organizational structures.

Founded: 1956. With a long history, Thermo Fisher Scientific combines established expertise with a forward-looking approach to innovation.

Team Structure:

• The UX Design Engineer will likely be part of a dedicated UX/Product Design team within a larger product development or engineering organization focused on AI and Agentic Systems.

• This team will probably report into Product Management or Engineering leadership, with close dotted-line reporting or collaboration with AI/ML specialists.

Methodology:

• Data-Driven Design: While focused on AI, the design process will likely involve leveraging user data, analytics, and feedback to inform design decisions and validate hypotheses.

• Agile & Iterative Development: Expect a fast-paced, iterative approach to product development, with a strong emphasis on rapid prototyping, user testing, and continuous improvement.

• Human-Centered AI: The core methodology will be centered on ensuring that AI and agentic systems are designed with the human user at the forefront, prioritizing usability, trustworthiness, and ethical considerations.

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

📝 Enhancement Note: Thermo Fisher Scientific's scale means this role has the potential for significant impact on products used globally in critical scientific and healthcare applications. The culture is likely a blend of scientific rigor, innovation, and a focus on customer needs within specialized markets.

📈 Career & Growth Analysis

Operations Career Level: This is a mid-to-senior level UX Design Engineer role, focusing on a specialized and emerging area within product development. It requires a blend of deep design craft, technical understanding, and strategic thinking regarding AI and system behavior.

Reporting Structure: The role will likely report to a UX Design Manager, Lead Designer, or a Director of Product Design/Engineering within the AI & Agentic Systems division. Close collaboration with Product Managers and AI/ML Engineering leads will be a key aspect of the day-to-day working relationships.

Operations Impact: This role has a direct impact on the usability, effectiveness, and adoption of AI-driven features within Thermo Fisher Scientific's product portfolio. By simplifying complex AI interactions and ensuring user trust, this role directly contributes to the success of products that enable scientific discovery and improve healthcare outcomes. The designs will influence how scientists and researchers interact with advanced intelligent systems, potentially accelerating their work and improving research quality.

Growth Opportunities:

• Specialization Deepening: Become a subject matter expert in designing for AI, agentic systems, and complex scientific workflows, a highly sought-after skill set.

• Leadership Development: Potential to mentor junior designers, lead design initiatives for AI features, and influence design strategy for future AI products.

• Cross-Functional Expertise: Develop a deeper understanding of AI/ML technologies, product management, and engineering processes through close collaboration.

• Impactful Projects: Work on cutting-edge technologies that have a tangible impact on global health, safety, and scientific advancement.

• Tooling Innovation: Contribute to the exploration and adoption of new design and prototyping tools, particularly those leveraging AI.

📝 Enhancement Note: The growth path emphasizes specialization in a high-demand field. The ability to influence product direction and contribute to a company with a strong mission offers significant career development beyond typical design roles.

🌐 Work Environment

Office Type: The role is based in an office environment located at Prestige Technostar, Bangalore. This suggests a modern, corporate office setting conducive to collaboration and focused work. The "Office" environmental condition indicates an on-site presence is expected.

Office Location(s):

Workspace Context:

• Collaborative Spaces: The office environment likely includes meeting rooms, breakout areas, and potentially open-plan seating designed to foster collaboration among design, product, and engineering teams.

• Technology Infrastructure: Access to high-performance computing, modern workstations, and robust network connectivity necessary for running design tools, prototyping software, and potentially interacting with AI models.

• Team Interaction: Opportunities for daily interaction with colleagues, including designers, product managers, and engineers, facilitating quick feedback loops and knowledge sharing.

Work Schedule: The standard work schedule is Monday to Friday. While the role is office-based, the "Hybrid" classification suggests that there may be some flexibility for remote work days, especially for focused design tasks, provided it aligns with team collaboration needs and project requirements.

📝 Enhancement Note: The "Office" environmental condition combined with the "Hybrid" work arrangement implies a structured work environment that values in-person collaboration but allows for some flexibility. The specific location in Prestige Technostar suggests a modern, well-equipped workspace.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the role's requirements, particularly experience with Figma, complex systems, and AI design.

• Portfolio Presentation & Design Challenge: Expect to present your portfolio, discussing key projects, your design process, and how you approach complex problems. You may also be given a design challenge to solve, focusing on AI/agentic system interactions, which you'll present and discuss.

• Technical & Behavioral Interviews: Interviews with hiring managers, product managers, and engineers to assess your technical skills, problem-solving abilities, collaboration style, and cultural fit. Expect questions about your experience with AI, system design, and working with technical teams.

• Final Round: Potentially a discussion with senior leadership to evaluate strategic thinking and overall fit within the broader organization.

Portfolio Review Tips:

• Focus on AI/System Design: Prioritize projects that showcase your ability to design for complex systems, AI, or agentic behaviors. Clearly articulate the problem, your design process, the system logic, and the outcomes.

• Showcase Figma Prototyping: Demonstrate advanced Figma skills, especially in creating dynamic prototypes that model behavior and states. Highlight any use of AI-assisted design tools like Figma Make.

• Quantify Impact: Wherever possible, use metrics to demonstrate the impact of your designs (e.g., improved efficiency, reduced errors, increased task success).

• Explain Your "Why": Be prepared to articulate the rationale behind your design decisions, especially concerning user control, transparency, and trust in AI systems.

• Tailor to Thermo Fisher: Research Thermo Fisher Scientific's products and mission. Consider how your skills and experience can contribute to their goals in life sciences and healthcare.

Challenge Preparation:

• System Thinking Exercises: Practice thinking through complex scenarios, mapping out states, decision points, and user flows for hypothetical AI-driven systems.

• Figma Prototyping Practice: Ensure you are proficient with advanced Figma features for rapid, interactive prototyping.

• Articulate Design Rationale: Prepare to explain your design choices clearly and concisely, justifying them with user needs, technical feasibility, and design principles.

• Understand AI Concepts: Brush up on common AI concepts and how they translate into user experiences, focusing on areas like reasoning, prediction, and automation.

📝 Enhancement Note: The interview process emphasizes portfolio demonstration and a practical understanding of AI/system design. Candidates should be prepared to showcase their ability to prototype complex behaviors and articulate design decisions in the context of AI.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, wireframing, and advanced prototyping. Proficiency with Figma Make and AI-assisted design features is highly valued.

• Prototyping Tools: Beyond Figma, familiarity with other tools for creating interactive simulations of complex behaviors and states.

• Design System Tools: Experience with or contribution to design systems for consistency and scalability.

Analytics & Reporting:

• User Analytics Platforms: Familiarity with tools like Google Analytics, Adobe Analytics, Mixpanel, or similar platforms to understand user behavior and validate design hypotheses.

• Data Visualization Tools: Ability to interpret data visualizations and potentially create simple dashboards to communicate design insights.

CRM & Automation:

• While not a direct CRM role, understanding how design integrates with CRM and automation platforms might be beneficial for context.

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

📝 Enhancement Note: Figma is explicitly called out as a primary tool, with a strong emphasis on its advanced and AI-assisted capabilities. The role requires a designer who is comfortable using technology to simulate and test complex system behaviors.

👥 Team Culture & Values

Operations Values:

• Innovation & Curiosity: A drive to explore new technologies, particularly AI and agentic systems, and to experiment with novel design approaches.

• User-Centricity: A deep commitment to understanding and serving the needs of users, ensuring that complex systems are intuitive, trustworthy, and effective.

• Collaboration & Partnership: Valuing close teamwork with product managers, engineers, and other stakeholders to achieve shared goals.

• Data-Driven Decision Making: Using data and user feedback to inform design choices and measure the impact of design solutions.

• Excellence & Rigor: A commitment to high-quality design, meticulous attention to detail, and a scientific approach to problem-solving.

Collaboration Style:

• Cross-functional Integration: Expect to work closely with diverse teams, bridging the gap between user needs, AI capabilities, and engineering realities.

• Iterative & Experimental: A culture that encourages rapid iteration, learning from failures, and continuous improvement based on feedback and data.

• Open Communication: A transparent environment where ideas are shared freely, feedback is constructive, and design decisions are openly discussed and debated.

📝 Enhancement Note: The culture values pushing boundaries in AI design while maintaining a strong user focus and a collaborative spirit, essential for navigating complex technical projects.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Working with novel AI and agentic system behaviors that may not have established interaction patterns requires comfort with ambiguity and a proactive approach to exploration.

• Balancing Automation and Control: Defining the right level of automation versus user control in AI-driven systems is a complex design challenge that requires careful consideration of user trust and agency.

• Explaining Complex AI: Effectively communicating how AI systems work, their limitations, and their outputs to users in an understandable and transparent manner.

• Rapidly Evolving Technology: Keeping pace with the fast-changing landscape of AI, agentic systems, and design tools requires continuous learning.

Learning & Development Opportunities:

• AI/ML Design Specialization: Deepen expertise in designing for artificial intelligence, machine learning, and autonomous systems, a rapidly growing field.

• Advanced Prototyping Techniques: Master cutting-edge tools and methods for simulating complex system behaviors and AI interactions.

• Cross-Disciplinary Knowledge: Gain a strong understanding of AI/ML principles, software engineering practices, and product management within the life sciences sector.

• Influence Product Strategy: Contribute to the strategic direction of AI-powered products within a leading global company.

📝 Enhancement Note: The challenges are inherent to working at the forefront of AI design. The growth opportunities are significant for individuals looking to build a career in this specialized and high-impact area.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-driven feature. What were the key design challenges, and how did you ensure user trust and transparency?"

• "How would you approach designing a workflow where an agentic system needs to make decisions with potential consequences? What are the critical interaction points?"

• "Walk us through a complex system you've designed. How did you model states, logic, and user flows? What tools did you use for prototyping this complexity?"

• "How do you balance automation with user control in a system where the AI might make errors or produce unexpected results?"

Company & Culture Questions:

• "Why are you interested in Thermo Fisher Scientific and our mission?"

• "How do you stay updated on the latest advancements in AI and UX design tools?"

• "Describe your experience working in a hybrid or agile development environment. How do you collaborate effectively with engineers and product managers?"

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly state the problem, your role, the users, your design process, key decisions (especially AI-related ones), challenges, and outcomes.

• Show, Don't Just Tell: Use visuals and interactive prototypes to demonstrate your design solutions. For AI/system designs, focus on showing how the system behaves, its states, and the user's interaction with it.

• Highlight Figma Skills: Specifically point out advanced Figma features and any use of AI-assisted design tools you employed.

• Quantify Impact: Present data and metrics that demonstrate the success of your designs.

• Be Prepared for Deep Dives: Anticipate questions about your technical understanding, design rationale, and ability to handle ambiguity.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of AI/agentic systems, advanced prototyping skills with Figma, and the ability to articulate complex design decisions and rationale.

📌 Application Steps

To apply for this UX Design Engineer — AI & Agentic Systems position:

• Submit your application through the Thermo Fisher Scientific careers portal via the provided URL.

• Tailor Your Resume: Highlight experience in UX design for complex systems, AI/ML products, advanced Figma prototyping (especially Figma Make), and collaboration with technical teams. Use keywords such as "AI," "Agentic Systems," "Interaction Design," "Figma," "Prototyping," and "System Design."

• Curate Your Portfolio: Select 2-3 key projects that best showcase your skills in AI/agentic system design, complex workflow modeling, and advanced Figma prototyping. Ensure your portfolio clearly demonstrates your process and impact.

• Prepare Your Presentation: Practice walking through your portfolio, focusing on your design process, system-level thinking, and how you addressed the unique challenges of AI/agentic systems. Be ready to discuss your rationale and outcomes.

• Research Thermo Fisher Scientific: Understand their mission, products, and the impact of their work in life sciences and healthcare. Consider how your UX design expertise can contribute to their scientific and technological advancements.

⚠️ 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.