Principal UI Architect

📍 Job Overview

Job Title: Principal UI Architect
Company: Prevalent AI
Location: Cochin, Kakkanad, India
Job Type: Other
Category: Engineering / UI Architecture
Date Posted: December 11, 2025
Experience Level: 10+ Years
Remote Status: On-site

🚀 Role Summary

• Drive the end-to-end front-end architecture vision for Prevalent AI's Data Fabric and Exposure Management platforms, focusing on AI-augmented, agentic user experiences.
• Design and implement a future-ready UI ecosystem supporting self-serve analytics, advanced visualizations, and high-performance, scalable applications.
• Elevate engineering standards, identify structural gaps, and establish patterns and guardrails for world-class UI development.
• Collaborate deeply with UX, product, backend, platform, and AI engineering teams to translate complex requirements into elegant, performant frontend systems.

📝 Enhancement Note: This role is positioned as a senior technical leadership position, focused on strategic architectural direction rather than day-to-day development. The emphasis on AI-driven developer velocity and agentic user experiences signifies a forward-thinking approach to modern software development within the AI and data platform space.

📈 Primary Responsibilities

• Define and champion the long-term UI architecture strategy, ensuring alignment with product roadmaps for Data Fabric and Exposure Management, with a focus on intelligent, agent-driven workflows.
• Architect a robust and scalable front-end platform capable of supporting advanced features such as self-serve dashboarding, complex graph-based and analytical visualizations, and real-time data-intensive applications.
• Lead the evolution of user interfaces from traditional dashboards to intelligent, adaptive, and AI-augmented systems that anticipate user needs.
• Champion engineering excellence by proactively identifying root causes of quality issues across technical design, component structure, code organization, state management, testing strategies, and development toolchains.
• Establish and enforce comprehensive architecture guidelines, coding standards, and rigorous review practices to enhance product robustness, maintainability, and overall quality.
• Drive the adoption and standardization of scalable component frameworks, reusable UI libraries, and consistent design patterns across all frontend projects.
• Introduce, operationalize, and guide the adoption of AI tools to significantly improve developer velocity, including code generation, refactoring, automated testing, and documentation.
• Define and optimize workflows where AI actively assists in rapid prototyping, design-to-code translation, visualization generation, and automating repetitive development tasks.
• Build and maintain robust pipelines and essential guardrails to ensure AI-assisted code consistently meets stringent security, quality, and performance standards.
• Architect and actively guide the development of complex, web-scale UI components and performance-optimized libraries and frameworks for dashboards and data-intensive interfaces.
• Lead the design of high-performance frontend systems characterized by efficient rendering, minimized re-renders, and scalable state management solutions.
• Foster seamless integration and alignment between frontend, backend, and data pipelines to ensure cohesive, maintainable, and future-proof system architecture.
• Lead the architectural design of sophisticated data visualizations, including graphs, networks, hierarchical layouts, and interactive analytical interfaces, ensuring optimal performance for large-scale and real-time datasets.
• Collaborate closely with UX, product, platform engineering, and AI teams to translate conceptual designs and complex exploration workflows into scalable, production-ready UI systems.
• Conduct thorough architectural reviews, provide mentorship to UI/UX engineers, and drive continuous improvement initiatives across the entire frontend development team.

📝 Enhancement Note: The responsibilities highlight a blend of strategic architectural planning and hands-on technical leadership. Emphasis on "AI-driven developer velocity" and "agentic workflows" suggests a focus on leveraging cutting-edge technologies to enhance both user experience and development efficiency, which is a key differentiator for senior roles in AI-focused companies.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience in software architecture.
Experience: Minimum of 10 years of progressive experience in frontend development and UI architecture, with a significant portion focused on designing and implementing large-scale enterprise product architectures.

Required Skills:

• Proven expertise in designing and architecting large-scale, high-performance UI architectures for complex enterprise products.
• Extensive hands-on experience with modern JavaScript frameworks, particularly React, and deep understanding of its ecosystem.
• Strong proficiency in TypeScript for building robust and maintainable frontend applications.
• In-depth knowledge and practical application of GraphQL for efficient data fetching and API interaction.
• Expertise in modern JavaScript micro-frontend patterns and their implementation for scalable architectures.
• Strong background in architecting sophisticated visualization systems for complex datasets, including in-depth experience with graph-based UIs.
• Deep understanding of frontend rendering lifecycles, performance tuning techniques, and browser-level optimizations for maximum efficiency.
• Demonstrated ability to analyze complex codebases and development processes to identify architectural and structural gaps impacting product quality and maintainability.
• Proven experience in designing and implementing AI-assisted development workflows and utilizing AI tools to enhance developer velocity.
• Ability to design, build, and maintain reusable component frameworks, comprehensive design systems, and efficient UI libraries.
• Excellent collaboration, communication, and leadership skills, with a proven ability to influence technical direction.
• Strong problem-solving capabilities with a track record of dissecting complex technical challenges and devising effective solutions.
• Proficiency and comfort working within high-pace, dynamic environments and a strong command of Agile development methodologies.
• Demonstrated ability to mentor and guide engineering teams, fostering technical growth and influencing architectural decisions across the organization.

Preferred Skills:

• Experience with state management libraries beyond basic React state (e.g., Redux, Zustand, Jotai).
• Familiarity with backend technologies or a strong understanding of backend-frontend integration patterns.
• Experience with CI/CD pipelines for frontend applications.
• Knowledge of security best practices for frontend applications.
• Experience with performance monitoring and profiling tools for frontend applications.

📝 Enhancement Note: The emphasis on React, GraphQL, and TypeScript, along with micro-frontend patterns and AI-assisted development, points towards a modern, scalable, and efficient frontend development stack. The requirement for deep understanding of rendering lifecycles and performance tuning is critical for data-intensive applications.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of architectural designs for large-scale, high-performance UI systems, clearly detailing the problem, your architectural solution, and the impact.
• Examples of complex component frameworks, design systems, or reusable UI libraries you have architected or significantly contributed to, demonstrating modularity and maintainability.
• Case studies demonstrating the application of GraphQL and micro-frontend patterns in enterprise-level applications, highlighting benefits like scalability, maintainability, or team autonomy.
• Evidence of leading or significantly contributing to the architecture of advanced visualization systems, particularly those involving complex data structures like graphs, with a focus on performance for large datasets.
• Documentation or examples illustrating your approach to frontend performance optimization, detailing specific techniques used to improve rendering speed, reduce re-renders, and enhance overall user experience.
• Projects or case studies that demonstrate the integration and impact of AI tools in the development lifecycle, such as code generation, automated testing, or refactoring, with quantifiable improvements in developer velocity or code quality.

Process Documentation:

• Examples of architecture guidelines, coding standards, or review practices you have established or significantly influenced, demonstrating a commitment to engineering excellence and code quality.
• Documentation outlining your approach to state management in complex applications, detailing chosen patterns and justifications for their use.
• Case studies or examples of how you have identified and addressed architectural or structural gaps within existing codebases or development processes, leading to improved robustness and maintainability.
• Demonstrations of your ability to build and maintain CI/CD pipelines for frontend applications, ensuring efficient and reliable deployments.

📝 Enhancement Note: For a Principal UI Architect role, the portfolio should not just showcase finished products but also the strategic thinking and architectural decisions behind them. Emphasis on process documentation and architectural guidelines signifies the importance of establishing best practices and fostering a culture of quality within the engineering team.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Principal UI Architects with 10+ years of experience in major technology hubs in India, such as Cochin, a competitive salary range is estimated between ₹35,00,000 to ₹55,00,000 per annum. This range accounts for the strategic nature of the role, the required specialized technical expertise, and the leadership responsibilities involved.

Benefits:

• Comprehensive health insurance coverage for employees and dependents.
• Generous paid time off (PTO) policy, including vacation, sick leave, and public holidays.
• Opportunities for professional development, including access to training, conferences, and certifications relevant to UI architecture and AI technologies.
• Stock options or equity participation, reflecting the company's growth and employee contribution.
• Retirement savings plan (e.g., Provident Fund) with company matching contributions.
• Performance-based bonuses and incentives.
• Relocation assistance for candidates moving to Cochin.
• Access to cutting-edge technology and tools to facilitate innovation.

Working Hours: Standard full-time working hours are expected to be around 40 hours per week, typically from Monday to Friday. While on-site presence is required, Prevalent AI may offer some flexibility in daily start and end times, subject to team coordination and project needs.

📝 Enhancement Note: The salary range is estimated based on typical compensation for senior/principal engineering roles in India, considering the specified location and the advanced technical requirements. Benefits are standard for a tech company of this nature, with a focus on professional growth and long-term incentives.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) / Data Technology. Prevalent AI operates at the forefront of AI, focusing on developing sophisticated platforms for Data Fabric and Exposure Management. This industry is characterized by rapid innovation, a strong emphasis on research and development, and a drive to solve complex data challenges. Company Size: Prevalent AI is likely a growing technology company, potentially ranging from 50-250 employees. This size often indicates a dynamic environment where individual contributions have a significant impact, and there's a balance between established processes and the agility of a startup. Founded: While the exact founding date is not provided, the company's focus on "future-ready" and "AI-driven" solutions suggests it is likely a relatively modern company, possibly founded within the last 5-10 years, positioning itself within the current wave of AI innovation.

Team Structure:

• The UI Architecture function likely sits within a larger Engineering department, potentially reporting to a VP of Engineering or CTO.
• The Principal UI Architect will lead a team of UI/UX engineers, potentially distributed across different product lines or feature areas, and will work closely with Product Managers, UX Designers, Backend Engineers, Platform Engineers, and AI Specialists.
• Cross-functional collaboration is paramount, with regular interaction and joint planning sessions required to ensure cohesive product development and architectural alignment across different engineering disciplines.

Methodology:

• Data Analysis & Insights: Emphasis on data-driven decision-making, leveraging analytics to understand user behavior, application performance, and identify areas for improvement in both UI and underlying architecture.
• Workflow Planning & Optimization: Strategic planning of frontend development workflows, focusing on efficiency, scalability, and the integration of AI tools to streamline processes and accelerate delivery.
• Automation & Efficiency: A strong focus on automating repetitive tasks, implementing robust testing strategies, and optimizing development pipelines to maximize engineering output and maintain high-quality standards.

Company Website: https://www.prevalent.ai/ (Inferred from domain_derived)

📝 Enhancement Note: The company's focus on AI and Data Fabric suggests a culture that values technical depth, innovation, and problem-solving. The "Principal" title implies a significant level of autonomy and influence, suggesting a culture that empowers senior technical leaders.

📈 Career & Growth Analysis

Operations Career Level: This role is at the "Principal" or "Staff" level within the UI Architecture discipline. It signifies a senior individual contributor role with significant architectural ownership and strategic influence. The scope extends beyond a single product or feature to encompass the entire frontend ecosystem of key platforms.

Reporting Structure: The Principal UI Architect will likely report to a Director of Engineering, VP of Engineering, or Chief Technology Officer (CTO). They will lead and mentor a team of UI/UX engineers, fostering their technical growth and ensuring adherence to architectural standards. This role requires strong collaboration with product management and other engineering leads.

Operations Impact: The impact of this role is profound, directly influencing the scalability, performance, maintainability, and user experience of Prevalent AI's core Data Fabric and Exposure Management platforms. By defining the UI architecture and driving engineering excellence, the Principal UI Architect will significantly contribute to the company's ability to deliver innovative AI-driven solutions, enhance developer productivity, and maintain a competitive edge in the market. Their work will enable faster product iteration, improved data visualization capabilities, and a more intuitive user experience for complex data interactions.

Growth Opportunities:

• Technical Specialization: Opportunity to deepen expertise in AI-driven UI development, advanced data visualization techniques, and complex system architecture.
• Leadership and Mentorship: Expand leadership capabilities by mentoring a growing team of engineers, shaping technical culture, and influencing architectural roadmaps across multiple product lines.
• Strategic Influence: Play a key role in shaping the company's overall technology strategy, particularly concerning frontend architecture and the integration of AI into development and user experiences.
• Industry Recognition: Potential to become a thought leader in AI-UI architecture through contributions to open-source projects, speaking at conferences, or publishing technical articles.
• Impact on Core Products: Directly contribute to the success and evolution of Prevalent AI's flagship platforms, seeing tangible results of architectural decisions.

📝 Enhancement Note: The "Principal" title indicates a role focused on high-level strategic impact and technical leadership, offering significant growth potential in both technical depth and leadership scope within an innovative AI company.

🌐 Work Environment

Office Type: The role is on-site in Cochin, Kakkanad, indicating a physical office environment. This setting typically fosters strong team collaboration, spontaneous ideation, and a clear separation between work and personal life. Office Location(s): Cochin, Kakkanad, India. This location is a growing IT and business hub in Kerala, offering access to a skilled talent pool and a vibrant professional community.

Workspace Context:

• Collaborative Environment: The on-site nature encourages direct interaction with UX designers, product managers, backend engineers, and AI specialists, facilitating seamless communication and rapid problem-solving.
• Operations Tools & Technology: Access to modern development tools, high-performance workstations, and potentially specialized hardware or software for AI-related development and data visualization. The company will likely invest in robust infrastructure to support cutting-edge UI architecture.
• Team Interaction: Opportunities for daily stand-ups, architectural review sessions, pair programming, and informal discussions that accelerate learning and drive innovation within the UI engineering team and cross-functional groups.

Work Schedule: A standard 40-hour work week is typical, with a focus on results and project delivery. While core hours will likely be maintained for collaboration, there may be some flexibility to accommodate individual work styles, provided project deadlines and team coordination are met. The emphasis will be on efficient use of time to drive complex architectural initiatives.

📝 Enhancement Note: The on-site requirement in Cochin suggests a company culture that values in-person collaboration and team cohesion. This is often beneficial for complex architectural roles where direct communication and whiteboard sessions can be highly productive.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on alignment with the Principal UI Architect requirements, particularly experience with React, GraphQL, and large-scale architecture.
• Technical Interview 1 (Architecture Focus): Expect in-depth discussions about your experience designing and implementing complex UI architectures. You'll likely be asked to walk through a significant architectural project from your portfolio, explaining your design choices, trade-offs, and the impact of your decisions. Questions will probe your understanding of scalability, performance, state management, and micro-frontend patterns.
• Technical Interview 2 (Problem-Solving & AI): This interview may involve a live coding exercise or a system design problem focusing on a specific UI challenge, potentially involving data visualization or agentic workflows. You'll be assessed on your problem-solving approach, coding proficiency, and understanding of how AI can be integrated into the development process or user experience.
• Portfolio Presentation: You will likely be asked to present 1-2 key projects from your portfolio, detailing the architectural challenges, your solutions, and the quantifiable outcomes. This is a critical step for demonstrating your strategic thinking and technical leadership.
• Hiring Manager/Team Interview: A discussion with the hiring manager and potentially key team members to assess cultural fit, leadership potential, collaboration style, and alignment with Prevalent AI's values and vision.
• Final Round (Executive/CTO): A final conversation with senior leadership to discuss strategic alignment, long-term vision, and the role's impact on the company's success.

Portfolio Review Tips:

• Highlight Architectural Depth: Focus on projects where you played a lead role in defining the architecture, not just implementing features. Explain the "why" behind your technical decisions.
• Showcase AI Integration: If possible, include projects that demonstrate your experience with AI-assisted development tools or the architecture of AI-driven user experiences.
• Quantify Impact: For each project, clearly articulate the business impact, performance improvements, or efficiency gains achieved through your architectural contributions. Use metrics whenever possible.
• Structure Your Presentation: Prepare a clear, concise narrative for each portfolio piece, covering the problem statement, your architectural approach, key technologies used, challenges faced, and the results.
• Prepare for Deep Dives: Be ready to answer detailed technical questions about any aspect of your portfolio projects, from component design to state management and performance optimizations.

Challenge Preparation:

• System Design: Practice designing scalable frontend systems, considering factors like data volume, real-time updates, user concurrency, and maintainability.
• Performance Optimization: Be prepared to discuss strategies for optimizing frontend performance, including lazy loading, code splitting, efficient rendering, and API optimization.
• AI Integration Scenarios: Think about how AI can be applied to improve developer workflows (e.g., code generation, test automation, documentation) and enhance user experiences (e.g., personalized dashboards, intelligent agents).
• Graph Visualization: If applicable, review common patterns and challenges in architecting graph-based UIs and interactive data visualizations.

📝 Enhancement Note: The interview process is designed to thoroughly assess technical depth, architectural vision, leadership capabilities, and cultural fit. A strong portfolio showcasing strategic architectural decisions and quantifiable impact will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Framework: React (primary, extensive experience required).
• Data Query Language: GraphQL (essential for efficient data fetching).
• Language: TypeScript (for robust and scalable development).
• Micro-Frontend Architecture: Experience with patterns and tools for implementing micro-frontend architectures.
• State Management Libraries: Proficiency with modern state management solutions (e.g., Redux, Zustand, Jotai, or similar).
• Styling & Design Systems: Experience with CSS-in-JS, CSS Modules, or component libraries for building consistent design systems.

Analytics & Reporting:

• Performance Monitoring Tools: Tools like Lighthouse, Web Vitals, or specialized APM solutions for frontend performance analysis.
• Analytics Platforms: Integration with product analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) for understanding user behavior.
• Dashboarding Tools: While the role is about architecting these, familiarity with how data is consumed for dashboards is beneficial.

CRM & Automation:

• CI/CD Tools: Familiarity with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) for automated builds, testing, and deployments.
• Version Control: Git is a standard requirement.
• AI Development Tools: Experience with AI-powered code assistants (e.g., GitHub Copilot, Amazon CodeWhisperer) and their integration into development workflows.

📝 Enhancement Note: The emphasis on React, GraphQL, and TypeScript, along with micro-frontend patterns, highlights the core technology stack. The inclusion of AI development tools points to Prevalent AI's commitment to leveraging AI for developer productivity.

👥 Team Culture & Values

Operations Values:

• Innovation & Forward-Thinking: A deep commitment to exploring and implementing cutting-edge technologies, particularly in AI, to drive product evolution and enhance user experiences.
• Engineering Excellence: A strong emphasis on building high-quality, scalable, and maintainable software through rigorous architectural design, robust coding standards, and comprehensive testing.
• Collaboration & Transparency: Fostering an environment where open communication, knowledge sharing, and cross-functional teamwork are paramount for collective success.
• Data-Driven Decision Making: Utilizing data and analytics to inform architectural choices, prioritize development efforts, and measure the impact of technical initiatives.
• Continuous Learning & Growth: Encouraging a culture of ongoing professional development, skill enhancement, and staying abreast of the rapidly evolving landscape of AI and software architecture.

Collaboration Style:

• Cross-Functional Integration: Proactive engagement with Product, UX, Backend, and AI teams to ensure a unified vision and seamless integration of frontend solutions with the broader platform.
• Process Review & Feedback: Encouraging a culture of constructive feedback through code reviews, architectural discussions, and post-mortems to continuously refine processes and improve outcomes.
• Knowledge Sharing: Actively participating in internal tech talks, documentation efforts, and mentorship programs to disseminate best practices and foster a collective understanding of architectural principles.

📝 Enhancement Note: The values suggest a high-performance culture focused on innovation, quality, and teamwork, common in leading AI and technology companies. The Principal UI Architect is expected to embody and promote these values.

⚡ Challenges & Growth Opportunities

Challenges:

• Architecting for AI-Driven Experiences: Designing UI architectures that effectively support intelligent, agentic workflows and adaptive user interfaces, balancing complexity with usability.
• Scalability for Data-Intensive Applications: Ensuring frontend systems can handle massive datasets, real-time streaming, and complex visualizations without performance degradation.
• Integrating AI into Development Workflows: Successfully introducing and operationalizing AI tools to enhance developer velocity while maintaining security, quality, and architectural coherence.
• Balancing Innovation with Stability: Evolving the UI architecture to incorporate new technologies and AI capabilities while ensuring the stability and maintainability of core platforms.
• Cross-Functional Alignment: Effectively aligning architectural vision and technical execution across diverse teams (UX, Product, Backend, AI) with potentially different priorities.

Learning & Development Opportunities:

• AI & ML Integration: Deepen understanding and practical application of AI/ML concepts within UI development and architecture.
• Advanced Visualization Techniques: Explore and implement state-of-the-art data visualization methods for complex datasets.
• Leadership Development: Enhance strategic leadership, team mentorship, and influence across the organization.
• Industry Conferences & Certifications: Opportunities to attend leading tech conferences and pursue relevant certifications in architecture, AI, or specific technologies.
• Mentorship Programs: Participate in or lead mentorship initiatives, benefiting from and contributing to the growth of other engineers.

📝 Enhancement Note: The challenges are directly tied to the cutting-edge nature of Prevalent AI's products, offering significant opportunities for professional growth and skill development in emerging areas of technology.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you architected a complex frontend system that significantly improved performance or scalability. What were the key architectural decisions, trade-offs, and outcomes?" (Focus on quantifiable results and detailed architectural reasoning).
• "How would you approach designing an AI-augmented UI for a data exploration platform? What are the core architectural considerations for agentic workflows and self-serve analytics?" (Demonstrate understanding of AI integration and modern UI patterns).
• "Walk us through your process for establishing UI architecture guidelines and ensuring their adoption across engineering teams. How do you balance standardization with developer autonomy?" (Highlight your leadership and process-building capabilities).

Company & Culture Questions:

• "Based on your understanding of Prevalent AI, what do you see as the biggest architectural challenges for our Data Fabric and Exposure Management platforms, and how would you address them?" (Showcase your proactive research and strategic thinking).
• "How do you foster a culture of engineering excellence and continuous learning within a UI development team?" (Align your approach with Prevalent AI's values).
• "Describe your experience mentoring engineers. How do you help them grow their technical skills and contribute to architectural initiatives?" (Emphasize your leadership and team development focus).

Portfolio Presentation Strategy:

• Structure for Impact: Begin with a concise executive summary of the project, followed by the problem statement, your architectural solution (diagrams are highly recommended), key technologies, challenges, and measurable results.
• Quantify Everything: Use data to demonstrate the success of your architectural decisions – e.g., "reduced load times by 40%", "increased developer productivity by 25%", "handled X concurrent users".
• Highlight AI/Innovation: If applicable, clearly articulate any innovative aspects, especially those involving AI or advanced visualization techniques, and their impact.
• Be Prepared for Q&A: Anticipate deep technical questions about your choices, alternatives considered, and how you would adapt your solution to different scenarios.

📝 Enhancement Note: Preparation should focus on articulating strategic architectural decisions, demonstrating leadership, and showcasing a deep understanding of modern frontend technologies, especially in the context of AI and data platforms.

📌 Application Steps

To apply for this Principal UI Architect position:

• Submit your application through the provided link on the Prevalent AI careers page.
• Tailor your Resume: Highlight specific experience with React, GraphQL, TypeScript, large-scale UI architectures, performance optimization, and any experience with AI-assisted development or advanced visualizations. Use keywords from the job description.
• Prepare Your Portfolio: Curate 2-3 of your most impactful architectural projects. Ensure they clearly demonstrate your ability to design scalable, high-performance UI systems and include quantifiable results. Be ready to present these projects in detail.
• Research Prevalent AI: Understand their products (Data Fabric, Exposure Management), their mission, and their role in the AI landscape. This will help you tailor your responses and demonstrate genuine interest.
• Practice Interview Questions: Rehearse answers to common architectural design, problem-solving, and behavioral questions, focusing on providing structured, data-driven responses and leveraging your portfolio.

⚠️ 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.

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