UX Platform Engineer (AI Era)

📍 Job Overview

Job Title: UX Platform Engineer (AI Era)

Company: Innovatrics

Location: Bratislava, Bratislava Region, Slovakia

Job Type: Full-time

Category: User Experience (UX) / Product Design Operations

Date Posted: 2026-06-11

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid (Office in Bratislava with flexible hours)

🚀 Role Summary

• Design System Ownership: Lead the development, evolution, and ongoing maintenance of Innovatrics' internal design system, acting as a central hub for reusable UI components and design patterns.

• AI Integration for UX: Strategize and implement AI-powered tools and agents to enhance design system accessibility, provide autonomous design guidance, and scale UX knowledge across all solution teams.

• Cross-Functional Empowerment: Enable diverse product and engineering teams to independently deliver consistent, high-quality user experiences by providing them with robust design system resources and AI-driven support.

• UX Evolution in the AI Era: Define and shape the future of UX at Innovatrics by embracing AI's transformative impact on design workflows, team collaboration, and product development cycles.

📝 Enhancement Note: This role is positioned at the intersection of UX Design, Design Systems, and AI. It requires not just design system management but also a forward-thinking approach to leveraging AI to democratize UX and streamline product development. The "Platform Engineer" title suggests a focus on building and maintaining the infrastructure (the design system) that others use, with an emphasis on scalability and self-service.

📈 Primary Responsibilities

• Develop, document, and maintain the comprehensive Innovatrics design system, ensuring it is a scalable, adaptable, and user-friendly resource for all product teams.

• Architect and implement AI agent capabilities that assist solution teams in accessing design guidance, understanding component usage, and adhering to UX best practices autonomously.

• Facilitate the adoption and active contribution to the design system across multiple independent solution teams, acting as a primary point of contact and subject matter expert.

• Collaborate closely with UX designers, product managers, and front-end engineers to gather feedback, identify needs, and iteratively improve the design system and its AI-driven extensions.

• Explore and prototype new AI-powered UX tools and workflows that can enhance design efficiency, consistency, and the overall user experience of Innovatrics' biometric solutions.

• Define and implement best practices for AI-assisted design, including prompt engineering for design guidance and AI consumable documentation standards.

• Manage Figma libraries, component structures, and version control to ensure the design system remains current and reliable.

• Conduct workshops and training sessions to educate teams on design system best practices and the effective use of AI-powered design tools.

📝 Enhancement Note: The responsibilities emphasize a proactive, enabling role. The "AI Era" aspect is central, requiring the candidate to not only manage a design system but also to innovate with AI to make UX scalable and self-service. This goes beyond typical design system manager roles by integrating AI as a core operational component.

🎓 Skills & Qualifications

Education:

• While no specific degree is mandated, a Bachelor's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is often preferred for roles involving design systems and technical implementation. Equivalent practical experience will also be highly valued. Experience:

• Minimum of 2-5 years of experience in UX design with a significant, demonstrable focus on design systems.

• Proven track record of owning or substantially contributing to the development and maintenance of a design system within a product development environment.

• Experience working with cross-functional teams (product, engineering, UX) to drive adoption and gather feedback on design resources. Required Skills:

• Design Systems Expertise: Deep understanding of design system principles, architecture, and best practices for component management.

• Figma Proficiency: Advanced skills in Figma for creating, organizing, and managing component libraries, variants, and documentation.

• AI Mindset & Tooling: Active user of AI tools in design workflows; demonstrated curiosity and ability to explore how AI can extend and scale design capabilities.

• Communication & Facilitation: Excellent written and verbal English communication skills, with a strong ability to facilitate workshops, gather requirements, and align diverse stakeholders.

• Cross-Team Collaboration: Proven ability to manage relationships and varying needs across multiple independent teams simultaneously.

• Adaptability & Open-mindedness: A willingness to embrace ambiguity, evolving role definitions, and the transformative impact of AI on work.

Preferred Skills:

• Familiarity with front-end development technologies such as Node.js and React.

• Experience with token-based design systems or component-driven development methodologies.

• Exposure to AI agent development, prompt engineering, or Model Context Protocol (MCP) concepts.

• Experience within B2B or enterprise software environments.

📝 Enhancement Note: The emphasis on "AI mindset" and "AI agent capabilities" indicates a need for individuals who are not just practitioners but also innovators, comfortable experimenting with new AI technologies to augment traditional design processes. The preference for front-end familiarity suggests a role that bridges design and implementation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design System Case Study: A dedicated section showcasing your experience with a specific design system. This should detail its scope, your role in its creation or evolution, key components, and the impact it had on product development efficiency and consistency.

• AI Tool Integration Examples: Evidence of how you have used or experimented with AI tools to enhance design processes, generate content, or provide guidance. This could include examples of prompt engineering for design assistance or AI-generated documentation.

• Figma Work Samples: Demonstrations of your Figma skills, including complex component structures, interactive prototypes, and well-organized design system libraries.

• Process Optimization Examples: Case studies illustrating how you've improved design workflows, documentation, or team collaboration through systematic approaches.

• Cross-Functional Collaboration Evidence: Examples of successful projects where you've worked with multiple teams, managed diverse feedback, and driven adoption of design standards.

Process Documentation:

• Demonstrate experience in documenting design system components, usage guidelines, and best practices in a clear, concise, and accessible manner, suitable for both human and AI consumption.

• Showcase an understanding of how to structure documentation for optimal usability, including examples of API documentation for components or AI-interpretable content.

📝 Enhancement Note: The portfolio requirements are heavily skewed towards demonstrating practical experience with design systems and, crucially, a forward-thinking approach to integrating AI. Candidates should prepare to showcase not just what they've built, but how they've leveraged technology and process to enable others.

💵 Compensation & Benefits

Salary Range:

• Base Salary: 2,800 - 3,800 EUR per month (Gross)

• Estimated Annual Base Salary: 33,600 - 45,600 EUR

• Additional Compensation: Performance bonus

• Total Estimated Annual Compensation: Potential for 36,000 - 49,000+ EUR, depending on performance.

📝 Enhancement Note: The provided salary range is for Bratislava, Slovakia. This range is competitive for mid-level UX/Design System roles in the region, especially considering the added AI specialization. Based on industry benchmarks and cost of living in Bratislava, this range is considered appropriate for the experience level and the unique skill set required. The salary is stated as gross.

Benefits:

• Performance Bonus: Directly tied to individual and company performance.

• Hybrid Work Flexibility: Combines remote work with office presence in Bratislava.

• Flexible Working Hours: Ability to schedule work around core collaboration blocks, promoting work-life balance.

• Professional Development: Opportunities to learn and grow, particularly in the evolving AI and UX landscape.

• Comprehensive Benefits Package: Additional benefits are available and can be learned more about at https://careers.innovatrics.com/.

Working Hours:

• Standard full-time hours (approximately 40 hours per week) with flexible scheduling around core collaboration blocks.

🎯 Team & Company Context

🏢 Company Culture

Industry: Biometrics and Identity Solutions. Innovatrics is a global leader in developing advanced biometric technologies used in identity verification, access control, and national security systems, serving clients in over 80 countries.

Company Size: While not explicitly stated, the description implies a significant global presence with numerous solution teams, suggesting a medium to large enterprise.

Founded: Innovatrics has a history in the biometrics industry, implying a stable and established company with a long-term vision.

Team Structure:

• Product Teams: The role involves working with multiple "solution teams," indicating a structure where specialized teams focus on different aspects of Innovatrics' biometric products.

• Cross-Functional Collaboration: The UX Platform Engineer will act as a central resource, bridging UX, Design Systems, AI, and Product/Engineering teams.

• Reporting: Likely reports into a UX leadership role or a Head of Product/Engineering, with strong dotted-line reporting or influence over product development teams.

Methodology:

• Inner-Source Model: The design system is treated as an internal "inner-source" tool, promoting collaboration, contribution, and shared ownership among internal teams.

• Data-Driven UX: Implicitly, the company values data in its biometric solutions, suggesting an approach to UX that is informed by user behavior and performance metrics.

• Agile Development: Standard practice in tech companies of this nature, implying iterative development cycles and continuous improvement.

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

📝 Enhancement Note: Innovatrics operates in a critical and sensitive industry (biometrics), which suggests a culture that values precision, security, and reliability. The "AI Era" positioning indicates a company that is forward-thinking and embraces technological advancement. The inner-source model for the design system points to a collaborative and empowering culture.

📈 Career & Growth Analysis

Operations Career Level: This role is a mid-level (2-5 years experience) individual contributor position focused on a specialized operational area: Design Systems and AI-driven UX enablement. It's a platform-building role rather than a direct product design execution role.

Reporting Structure: The role will likely report to a manager or director within the Product or Engineering organization, potentially a Head of UX, Design Systems Lead, or CTO. The "Platform Engineer" aspect suggests a degree of autonomy and direct collaboration with engineering and product leads across various solution teams.

Operations Impact: The UX Platform Engineer's impact is significant and far-reaching. By creating a robust, AI-enhanced design system, they directly influence:

• Product Consistency & Quality: Ensuring all Innovatrics' global solutions maintain a unified and high-quality user experience.

• Development Efficiency: Reducing redundant design and development efforts by providing reusable components and streamlined workflows.

• Time-to-Market: Accelerating product development cycles through self-service design resources and AI-assisted guidance.

• Innovation: Enabling teams to focus more on core product innovation by abstracting common UX challenges.

Growth Opportunities:

• Specialization: Deepen expertise in design systems, AI for design, and enterprise UX strategy.

• Leadership: Potentially transition into a lead or manager role for a Design Systems or UX Platform team as the function grows.

• Broader Impact: Expand influence across more product lines or contribute to company-wide standards for AI integration in product development.

• Skill Development: Continuously learn and apply cutting-edge AI technologies to UX challenges, staying at the forefront of the industry.

📝 Enhancement Note: This role offers a unique opportunity to shape how UX is handled in a rapidly evolving tech landscape, particularly with the integration of AI. Growth is likely tied to demonstrating the value and scalability of the design system and AI initiatives.

🌐 Work Environment

Office Type: Hybrid work model, combining remote flexibility with office-based collaboration in Bratislava. This suggests a modern approach to work, balancing individual focus with team interaction.

Office Location(s): Bratislava, Slovakia. This location offers a strategic hub within Europe.

Workspace Context:

• Collaborative Environment: The hybrid model and emphasis on cross-team collaboration indicate a workplace that values both focused individual work and team synergy. The Bratislava office likely provides spaces conducive to workshops, brainstorming, and team meetings.

• Tools & Technology: Access to industry-standard design tools (Figma) and a commitment to exploring AI tools. The company likely invests in the necessary software and hardware to support these roles.

• Operations Team Interaction: Direct interaction with UX designers, product managers, and front-end engineers across various solution teams, fostering a dynamic and knowledge-sharing environment.

Work Schedule: Flexible working hours are provided, allowing employees to manage their schedules around core collaboration blocks. This supports efficient workflow management for tasks like design system updates, AI experimentation, and team syncs.

📝 Enhancement Note: The hybrid nature of the role suggests a company that trusts its employees and focuses on outcomes. The flexible hours are particularly beneficial for operations roles that might involve deep work, experimentation, or asynchronous collaboration across different time zones.

📄 Application & Portfolio Review Process

Interview Process:

• Stage 1: Recruiter Screen (30 min): An initial call to assess general fit, understanding of the role's core requirements (UX, Design Systems, AI mindset), and motivation.

• Stage 2: Online Interview (~2 hours) - AI Task & Discussion: This is the core technical assessment. Candidates will receive a real-world UX/design system task and have one hour to work on it using AI tools. The subsequent hour will involve discussing their approach, the AI tools used, and their thought process. The focus is on problem-solving, AI leverage, and adaptability, not pixel-perfect output.

• Stage 3: CV & Experience + CARES Discussion: A deeper dive into the candidate's background, specific design system experience, and how they approach collaboration, ambiguity, and growth (aligned with Innovatrics' CARES values).

• Final Stage: Reference checks and background verification.

Portfolio Review Tips:

• Highlight Design System Ownership: Clearly articulate your role and contributions to specific design systems. Quantify impact where possible (e.g., adoption rates, time saved).

• Showcase AI Experimentation: Include examples of how you've used AI in your design workflow. This could be through prompt examples, AI-generated design assets, or documented AI-assisted research.

• Demonstrate Figma Mastery: Organize your Figma work clearly, showcasing component libraries, variants, and well-structured documentation.

• Focus on Process & Collaboration: Use case studies to explain how you solve problems, manage feedback from multiple teams, and drive adoption of standards.

• Prepare for the AI Task: Practice thinking aloud and articulating your strategy for ambiguous problems, especially how you would leverage AI tools to accelerate your process and generate insights.

Challenge Preparation:

• Understand the AI Task Context: Be prepared for a task that blends UX principles with the practical application of AI tools. Think about how AI can augment, not replace, your design thinking.

• Practice Articulating Your Process: Be ready to explain your decision-making process, especially concerning the use of AI. How do you evaluate AI output? How do you ensure quality and consistency?

• Research Innovatrics: Understand their products and mission. Consider how a design system and AI-enhanced UX can benefit a biometric identity solutions company.

📝 Enhancement Note: The interview process is designed to evaluate practical skills, AI aptitude, and cultural fit. The AI task is a critical component, signaling the company's commitment to integrating AI into its operations and product development. Candidates must be prepared to demonstrate their ability to leverage AI effectively and thoughtfully.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for design system management, component creation, prototyping, and documentation. Advanced proficiency is essential.

• AI Tools: A broad category. Candidates are expected to be familiar with and actively use various AI tools for design assistance, content generation, research, and potentially prompt engineering. Examples could include AI-powered design assistants, text generators, or specialized AI development platforms.

Analytics & Reporting:

• While not explicitly mentioned for this role, understanding how design system usage and AI tool adoption are tracked and reported is beneficial. This might involve analytics platforms or custom reporting dashboards. CRM & Automation:

• Not directly applicable to this role's core function, but an understanding of how design systems integrate with broader product development workflows, which may involve CRM or project management tools, is helpful.

📝 Enhancement Note: The explicit mention of Figma and the strong emphasis on AI tools are key differentiators. Candidates should be proficient in Figma and actively experimenting with current AI technologies relevant to design and development. Familiarity with front-end technologies like React and Node.js is a plus, suggesting potential for deeper integration with the development stack.

👥 Team Culture & Values

Operations Values:

• Innovation & Adaptability: A core value, given the "AI Era" focus. The company seeks individuals who embrace change and explore new technological frontiers.

• Empowerment & Scalability: The design system is a tool for empowering other teams, reflecting a value for enabling self-sufficiency and scalable solutions.

• Collaboration & Inner-Source: A strong emphasis on working together and fostering a culture where internal contributions are encouraged and valued.

• Excellence & Precision: In the biometrics industry, accuracy and reliability are paramount, suggesting a culture that values high standards and attention to detail.

• Curiosity: A genuine interest in where UX is headed and how AI can shape the future of work.

Collaboration Style:

• Facilitative: The role requires strong facilitation skills to guide workshops, gather feedback, and align diverse teams.

• Inner-Source & Community Building: Encouraging contributions to the design system and fostering a community of practice around UX and design tooling.

• Cross-Functional Integration: Working closely with UX designers, product managers, and front-end engineers to ensure seamless integration of the design system and AI tools into product development lifecycles.

• Iterative & Feedback-Driven: A continuous improvement approach, where feedback from teams is actively sought and used to evolve the design system and AI capabilities.

📝 Enhancement Note: The company culture appears to be one that is both technically advanced and highly collaborative. The "AI Era" and "inner-source" aspects are central to how they operate and how they expect employees to contribute.

⚡ Challenges & Growth Opportunities

Challenges:

• Evolving AI Landscape: The rapid pace of AI development means constant learning and adaptation are required to stay relevant and leverage new capabilities effectively.

• Cross-Team Adoption: Convincing and enabling multiple independent teams with varying levels of UX maturity to consistently adopt and contribute to the design system can be challenging.

• Balancing Standardization with Flexibility: Ensuring the design system provides necessary consistency without stifling team autonomy and innovation.

• Defining AI-UX Integration: Establishing clear guidelines and best practices for how AI should be integrated into UX workflows and the design system itself.

Learning & Development Opportunities:

• AI & ML for Design: Deep dive into AI technologies and their application in UX design, prompt engineering, and automated design processes.

• Advanced Design Systems: Gaining expertise in complex design system architectures, tokenization, and related development practices.

• Product Strategy: Understanding how UX operations and design systems directly impact business outcomes and product strategy in an enterprise context.

• Leadership in Operations: Developing skills in managing internal platforms, driving adoption, and influencing cross-functional teams, which can lead to future leadership roles.

📝 Enhancement Note: This role offers a unique opportunity to tackle novel challenges at the intersection of design systems and AI, providing significant learning and growth potential for ambitious professionals.

💡 Interview Preparation

Strategy Questions:

• "Describe your experience building or significantly contributing to a design system. What were the biggest challenges, and how did you overcome them?" (Focus on your ownership, process, and impact.)

• "How do you envision AI transforming the role of a UX Platform Engineer and the design system itself? Provide specific examples of AI tools you've used or would use." (Demonstrate your AI mindset and practical application ideas.)

• "How would you approach getting buy-in and driving adoption of a new design system across multiple independent product teams with different priorities?" (Highlight your facilitation, communication, and change management skills.)

• "Walk us through your process for creating and documenting a new UI component for a design system." (Showcase your meticulous approach and understanding of usability for both designers and developers.) Company & Culture Questions:

• "What excites you about Innovatrics' mission in biometrics and identity solutions?" (Show you've researched their business.)

• "How do you see the 'inner-source' model for a design system benefiting a company like Innovatrics?" (Connect your understanding of the model to the company's context.)

• "Describe a time you had to adapt to a rapidly changing role or technology. How did you approach it?" (Assess your adaptability and openness to AI's impact.) Portfolio Presentation Strategy:

• Structure: Organize your portfolio around key projects, clearly delineating your role and contributions. Use a dedicated section for your design system experience.

• AI Integration Examples: If you have specific AI experiments or applications, present them clearly. Explain the problem, your approach using AI, and the outcome.

• Figma Walkthrough: Be prepared to walk through your Figma files, showcasing component structure, documentation standards, and interactive elements.

• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your work (e.g., adoption rates, time saved, consistency improvements).

• Tell a Story: For each case study, frame it as a narrative: the problem, your solution (especially your design system and AI contributions), and the results.

📝 Enhancement Note: The interview process heavily emphasizes practical application of AI in a design system context. Candidates should be ready to demonstrate their thought process, problem-solving skills, and ability to leverage AI tools effectively.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Workable.

• Portfolio Customization: Tailor your resume and portfolio to highlight your experience in design systems, Figma proficiency, and any demonstrated use or exploration of AI tools in design workflows. Prepare specific examples of how you've enabled other teams.

• Resume Optimization: Ensure your resume clearly articulates your experience with design system ownership, component libraries, and cross-functional collaboration. Integrate keywords like "Design Systems," "Figma," "AI," "UX Platform," "Inner-Source," and "Stakeholder Management."

• Interview Preparation: Practice articulating your design system philosophy, your approach to AI integration, and your ability to manage diverse stakeholder needs. Be ready to perform the AI task thoughtfully and explain your process clearly.

• Company Research: Thoroughly research Innovatrics, their biometric products, and their mission. Understand their commitment to AI and innovation to tailor your responses and demonstrate genuine interest.

⚠️ 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.