Full Stack UI Architect

📍 Job Overview

Job Title: Full Stack UI Architect

Company: NTT DATA

Location: Noida, Uttar Pradesh, India

Job Type: FULL_TIME

Category: Software Engineering / UI Architecture

Date Posted: 2026-02-27

Experience Level: 12-15 Years (Senior/Lead)

Remote Status: On-site

🚀 Role Summary

• Design and govern enterprise-grade user interface (UI) and user experience (UX) architecture for complex AI/ML platforms, ensuring robustness and scalability for over 1000 concurrent users.

• Establish and maintain comprehensive frontend standards, including reusable component libraries, design systems, and style guides to ensure UI consistency across the platform.

• Lead the selection and standardization of modern frontend frameworks, state management libraries, and build tools, driving technological best practices.

• Oversee seamless integration strategies with backend AI, data, search, and metadata services, leveraging various API patterns and event-driven architectures.

• Provide technical leadership and mentorship to a team of 8-12 frontend developers, guiding code reviews, design decisions, and overall technical excellence.

📝 Enhancement Note: While the job title is "Full Stack UI Architect," the description heavily emphasizes deep expertise in frontend architecture, design systems, and UI/UX for AI/ML platforms. The "Full Stack" aspect is primarily related to integration with backend services rather than direct backend development. This role is critical for establishing the foundational UI/UX strategy and technical direction for the company's AI/ML offerings.

📈 Primary Responsibilities

• Define and document comprehensive UI/UX architecture for AI/ML platform components such as portals, dashboards, data catalogues, model registries, and admin consoles.

• Develop and implement robust design systems, including reusable component libraries, style guides, and UI pattern libraries, ensuring a cohesive and consistent user experience.

• Evaluate, select, and standardize modern frontend technologies, including frameworks (React, Angular, Vue), state management solutions (Redux, MobX), and build tools (Webpack, Vite).

• Architect seamless integration points with backend services using RESTful APIs, GraphQL, WebSockets, and event-driven patterns to facilitate data flow and functionality.

• Guide development teams on implementing advanced performance optimization techniques, including lazy loading, code splitting, caching strategies, and achieving optimal web vitals.

• Ensure frontend security best practices are implemented, including robust authentication and authorization mechanisms (OAuth2/OIDC, JWT handling) and XSS prevention.

• Champion and enforce accessibility standards (WCAG 2.1 AA compliance), ensuring keyboard navigation, screen reader compatibility, and inclusive design principles are embedded in all UI development.

• Design and oversee the creation of responsive, mobile-first interfaces that deliver a consistent and high-quality user experience across desktop, tablet, and mobile devices.

• Architect sophisticated data visualizations, real-time dashboards, and interactive charts leveraging libraries like D3.js, Chart.js, or similar tools.

• Define and implement a comprehensive frontend testing strategy, encompassing unit tests (Jest), integration tests, end-to-end tests (Cypress, Playwright), and visual regression testing.

• Provide direct technical guidance, conduct thorough code and design reviews, and mentor junior developers to foster a high-performing frontend engineering team.

• Collaborate with DevOps teams to establish efficient CI/CD pipelines for frontend development, automated deployments, environment management, and the implementation of feature flags.

📝 Enhancement Note: The responsibilities highlight a strong focus on architectural design, technical leadership, and setting standards for complex, high-scale applications within the AI/ML domain. Emphasis is placed on creating reusable assets and ensuring scalability, performance, and security from the ground up.

🎓 Skills & Qualifications

Education:

Experience:

• 12-15 years of progressive frontend development experience.

Required Skills:

• Proven experience in enterprise UI architecture, specifically building large-scale SaaS or platform UIs.

• Deep expertise in modern frontend frameworks, with a strong preference for React, and proficiency in TypeScript and modern JavaScript (ES6+).

• Proficiency in API-driven integration patterns, including RESTful APIs, GraphQL, WebSockets, and an understanding of micro-frontend architectures.

• Experience in designing and implementing scalable, accessible UIs using methodologies like atomic design and component-driven development.

• In-depth knowledge of state management patterns (e.g., Redux, Context API, MobX) and data flow architectures.

• Demonstrated ability in frontend performance optimization, with a focus on web vitals (LCP, FID, CLS).

• Experience with design systems and component libraries (e.g., Material-UI, Ant Design, or custom-built systems).

• Proficiency in data visualization tools such as D3.js, Recharts, Victory, or Plotly.

• Experience with frontend testing frameworks like Jest for unit tests and Cypress or Playwright for E2E tests.

• Understanding of security best practices for frontend applications, including OAuth2/OIDC and JWT.

Preferred Skills:

• Experience designing user experiences for Data- and AI-driven applications, including ML model interfaces, data exploration tools, and analytics dashboards.

• Familiarity with build tools such as Webpack or Vite.

• Experience with CI/CD pipelines for frontend applications.

• Certifications in UX design, accessibility (e.g., CPACC), or modern frontend frameworks.

📝 Enhancement Note: The qualifications emphasize a blend of deep technical frontend expertise, architectural vision, and experience within the specific domain of AI/ML platforms. A strong portfolio is explicitly requested, indicating a need for tangible evidence of past success in complex UI architecture.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating complex UI/UX implementations for enterprise-grade platforms, particularly those involving data, AI, or machine learning.

• Examples of established and maintained design systems, including reusable component libraries, style guides, and UI pattern libraries.

• Documentation showcasing architectural decisions for large-scale frontend applications, including scalability, performance, and integration strategies.

• Case studies or examples illustrating the application of accessibility standards (WCAG 2.1 AA) and responsive design principles in real-world projects.

Process Documentation:

• Frontend architecture documents detailing the overall UI/UX strategy, technology stack, and integration patterns.

• Technical specifications for UI features, API integrations, and complex component development.

• Documentation of coding standards, best practices guides, and developer guidelines for frontend teams.

• Prototypes, wireframes, and interactive mockups that illustrate user flows and interface designs.

• Performance benchmarks, accessibility audit reports, and recommendations for optimization.

📝 Enhancement Note: The emphasis is on showcasing practical application of architectural principles, design system development, and measurable impact through a portfolio. Candidates should be prepared to present detailed documentation and examples of their work, demonstrating a systematic approach to UI architecture and development.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision) for employees and dependents.

• Retirement savings plans, such as a provident fund (PF) contribution, in line with Indian labor laws.

• Paid time off, including annual leave, sick leave, and public holidays.

• Opportunities for professional development, including training programs, certifications, and conference attendance.

• Performance-based bonuses and potential for stock options or other long-term incentives.

• Access to NTT DATA's global network and resources, fostering career growth and international opportunities.

Working Hours:

• Standard full-time work hours are typically 40 hours per week, aligning with Indian business practices. Flexibility may be offered, but core hours for team collaboration and client interaction are expected.

📝 Enhancement Note: Salary is estimated based on NTT DATA's presence in India, the seniority of the role, and general market rates for similar positions in Noida. The benefits listed are standard for large IT service companies in India and are tailored to attract and retain senior technical talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Technology & Services, Digital Transformation, AI & Machine Learning, Cloud Services.

Company Size: NTT DATA is a global IT services leader with over 190,000 employees worldwide and annual revenues exceeding $30 billion, indicating a large, established, and resource-rich organization.

Founded: NTT DATA was founded in 1967, with its current form established through various mergers and acquisitions, most notably the integration with Dell Services in 2016. This long history suggests stability, established processes, and a deep understanding of the IT industry.

Team Structure:

• The role will likely be part of a larger engineering or product development division focused on AI/ML platforms. The UI architect will lead a dedicated frontend development team of 8-12 individuals.

• The reporting structure would typically involve reporting to a senior engineering manager, director, or head of product/engineering for the AI/ML platform.

Methodology:

• NTT DATA emphasizes "responsible innovation" and accelerating client success, suggesting a focus on pragmatic, client-centric solutions.

• Data analysis and insights are crucial for designing effective AI/ML platforms, implying a data-driven approach to UI/UX development and performance monitoring.

• Workflow planning and optimization are inherent in architecting scalable platforms, ensuring efficient development cycles and user journeys.

• Automation and efficiency practices are likely central to their DevOps integration and CI/CD pipelines for frontend development.

Company Website: https://nttdata.com

📝 Enhancement Note: NTT DATA's scale and global presence suggest a structured environment with established processes, but also opportunities for impact on significant projects. The company's focus on AI/ML and digital transformation aligns directly with the requirements of this UI Architect role, suggesting a strategic and forward-looking team.

📈 Career & Growth Analysis

Operations Career Level: This role is firmly at a senior architectural and leadership level, requiring deep technical expertise combined with the ability to guide and mentor teams. It sits above a senior frontend developer and below a principal architect or CTO, focusing specifically on UI/UX architecture for a specialized platform.

Reporting Structure: The Full Stack UI Architect will report to a senior engineering leader (e.g., Engineering Manager, Director of Engineering) responsible for the AI/ML platform. They will, in turn, lead and mentor a team of 8-12 frontend developers.

Operations Impact: The UI Architect's impact is critical to the success of NTT DATA's AI/ML platforms. By defining the architecture, design systems, and ensuring seamless integration and usability, they directly influence the adoption, efficiency, and perceived value of these complex solutions for clients and internal users. Their work underpins the user's ability to effectively leverage powerful AI/ML capabilities.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI/ML platform UI architecture, advanced data visualization, or emerging frontend technologies, potentially moving into a Principal UI Architect or Chief Architect role.

• Leadership Expansion: Grow into managing larger engineering teams or multiple frontend teams, potentially transitioning to an Engineering Manager or Director role.

• Cross-Functional Leadership: Lead broader architectural initiatives that span frontend, backend, and data services, or contribute to strategic technology roadmapping for the AI/ML division.

• Industry Recognition: Contribute to open-source projects, speak at conferences, or publish thought leadership on UI architecture for cutting-edge technologies.

📝 Enhancement Note: This role offers significant scope for impact and growth, particularly for individuals passionate about the intersection of advanced technology (AI/ML) and user experience. The opportunity to shape the UI strategy for a major tech player's core platforms is a substantial career advancement prospect.

🌐 Work Environment

Office Type: The role is designated as "On-site" in Noida, India. This suggests a traditional office environment where collaboration, team meetings, and direct interaction with colleagues are prioritized.

Office Location(s): Noida, Uttar Pradesh, India. This is a major IT and business hub in the National Capital Region (NCR) of India, offering good connectivity and access to talent.

Workspace Context:

• The workspace will likely be a modern office setting designed to foster collaboration. This could include open-plan areas, meeting rooms equipped with technology for presentations and remote collaboration, and dedicated spaces for focused work.

• Access to standard corporate IT infrastructure, development tools, powerful workstations, and potentially specialized hardware for AI/ML development and testing will be provided.

Work Schedule:

• The standard work schedule is likely Monday to Friday, approximately 40 hours per week. While the role is on-site, NTT DATA's general policy mentions flexibility and adapting to client requirements, which might occasionally involve adjusted hours or focused work periods depending on project deadlines.

📝 Enhancement Note: The on-site requirement suggests a preference for in-person collaboration, which can be beneficial for complex architectural discussions and team building. Candidates should be prepared for a standard office environment in a well-established tech hub.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or HR representative will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Technical Interview(s): Multiple rounds of technical interviews focusing on frontend architecture, JavaScript/TypeScript, framework expertise (React/Angular/Vue), state management, API integration, performance, and accessibility. Expect in-depth discussions about past projects and architectural decisions.

• Portfolio Review: A dedicated session where candidates present and discuss their portfolio, highlighting key projects, architectural challenges, solutions, and impact. This is a crucial step to demonstrate practical experience.

• System Design/Architecture Challenge: A take-home assignment or live coding/design exercise focusing on architecting a specific UI component or feature for an AI/ML platform, requiring candidates to articulate their design choices, trade-offs, and rationale.

• Hiring Manager/Team Lead Interview: A discussion with the hiring manager or lead to assess leadership potential, team collaboration skills, problem-solving approach, and alignment with team dynamics.

• Final Round: Potentially a panel interview with senior stakeholders or a final discussion with a director-level executive.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your most impactful projects that best showcase your experience in enterprise UI architecture, AI/ML platforms, design systems, and complex integrations.

• Tell a Story: For each project, clearly articulate the problem statement, your role and responsibilities, the architectural solutions you designed and implemented, the technologies used, the challenges faced, and the quantifiable outcomes or impact. Use metrics wherever possible.

• Highlight Architecture: Focus on the architectural decisions, trade-offs, and the reasoning behind them. Explain how your designs ensured scalability, performance, security, and accessibility.

• Showcase Design Systems: If applicable, present examples of design systems or component libraries you've built or contributed to, explaining their structure, benefits, and adoption strategy.

• Prepare for Deep Dives: Be ready to answer detailed questions about your technical choices, coding practices, testing strategies, and collaboration methods.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with common UI patterns and challenges in AI/ML platforms, data visualization, and dashboards.

• Practice System Design: Review common system design interview questions, focusing on frontend architecture, API design, and scalability considerations for large user bases.

• Articulate Trade-offs: Be prepared to discuss the pros and cons of different technology choices, architectural patterns, and implementation strategies.

• Focus on Clarity: Structure your approach logically, clearly explaining your thought process, assumptions, and final recommendations.

📝 Enhancement Note: The interview process is rigorous, reflecting the senior and specialized nature of the role. A strong portfolio and the ability to articulate architectural decisions are paramount. Candidates should prepare to demonstrate both deep technical skills and strategic thinking.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: Deep expertise required in React, with strong consideration for Angular or Vue.js.

• Languages: TypeScript and modern JavaScript (ES6+).

• State Management: Redux, MobX, or Context API.

• Build Tools: Webpack, Vite.

• Styling/Component Libraries: Material-UI, Ant Design, or custom design systems.

• Data Visualization: D3.js, Chart.js, Recharts, Victory, Plotly.

Analytics & Reporting:

• Testing Frameworks: Jest (unit), Cypress, Playwright (E2E).

• Performance Tools: Browser Developer Tools, Lighthouse, Web Vitals monitoring.

• Accessibility Tools: Axe, WAVE, screen readers (e.g., NVDA, JAWS).

CRM & Automation:

• API Technologies: RESTful APIs, GraphQL, WebSockets.

• Security Protocols: OAuth2, OIDC, JWT.

• Collaboration/DevOps: CI/CD pipelines, Git, feature flags.

📝 Enhancement Note: The technology stack is modern and comprehensive, reflecting the cutting edge of frontend development for complex platforms. Proficiency in a wide array of tools and frameworks is expected, with a particular emphasis on React and related ecosystem technologies.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive for responsible innovation and leveraging technology to solve complex problems, particularly in AI/ML.

• Client Focus: A commitment to accelerating client success and delivering high-value solutions that meet business needs.

• Excellence: Striving for high quality in design, development, and delivery, with a focus on performance, scalability, and usability.

• Collaboration: Working effectively across diverse teams and disciplines to achieve shared goals.

• Continuous Learning: Embracing new technologies and methodologies to stay at the forefront of the industry.

Collaboration Style:

• The role necessitates a highly collaborative style, working closely with backend engineers, data scientists, product managers, and UX designers.

• Expect a culture that values constructive feedback, open communication, and knowledge sharing, especially concerning architectural decisions and best practices.

• Team members are encouraged to experiment with new approaches and contribute to process improvements, fostering an environment of shared ownership and continuous enhancement.

📝 Enhancement Note: NTT DATA, as a large global organization, likely fosters a professional and structured work environment that values collaboration, technical excellence, and client outcomes. The emphasis on AI/ML suggests a forward-thinking and innovative aspect to the team's culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Architecting a scalable and maintainable UI for complex AI/ML platforms supporting a large, concurrent user base.

• Ensuring seamless integration and consistent UX across diverse backend services and data sources.

• Balancing the adoption of cutting-edge technologies with the need for stability, security, and accessibility.

• Leading and mentoring a team of developers while also contributing hands-on architectural design.

Learning & Development Opportunities:

• Skill Advancement: Opportunities to deepen expertise in AI/ML specific UI challenges, advanced data visualization techniques, and micro-frontend architectures.

• Industry Exposure: Access to NTT DATA's global projects and client engagements, providing exposure to a wide range of industries and technological challenges.

• Leadership Development: Formal and informal leadership training, mentorship programs, and opportunities to manage larger teams or critical architectural initiatives.

• Certifications & Training: Support for obtaining relevant certifications in UX design, accessibility, cloud technologies, or specific frontend frameworks.

📝 Enhancement Note: The challenges presented are inherent to architecting cutting-edge platforms at scale. The growth opportunities are robust, offering a clear path for technical and leadership development within a global organization.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex enterprise UI architecture you designed for a large-scale SaaS platform. What were the key challenges, your architectural decisions, and the outcome?" (Focus on scalability, integration, and user experience for AI/ML contexts).

• "How would you approach building a design system from scratch for a new AI/ML platform? What are the critical considerations for component reusability, maintainability, and adoption?" (Highlight atomic design, documentation, and collaboration with development teams).

• "Discuss your strategy for ensuring WCAG 2.1 AA compliance across a large, dynamic web application. What tools and processes would you implement?" (Demonstrate practical knowledge of accessibility standards and testing).

Company & Culture Questions:

• "What interests you about NTT DATA and this specific role within our AI/ML initiatives?" (Research NTT DATA's AI/ML strategy, innovation efforts, and recent projects).

• "How do you approach technical leadership and mentoring junior developers?" (Provide examples of your leadership style, code review process, and mentorship techniques).

Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of your career and architectural philosophy. Then, for each portfolio project, follow a clear narrative: Problem -> Your Role/Solution -> Key Architectural Decisions -> Technologies -> Challenges -> Impact/Results.

• Visuals: Use clear diagrams, screenshots, and potentially short demos to illustrate your points. Focus on the UI/UX aspects and architectural components.

• Metrics: Quantify your achievements whenever possible (e.g., performance improvements in ms, reduction in load times, increase in user engagement, accessibility compliance scores).

• Q&A: Anticipate detailed technical questions about your choices, trade-offs, and how your solutions addressed specific requirements like scalability, security, and accessibility.

📝 Enhancement Note: Interview preparation should focus on demonstrating deep architectural thinking, practical application of modern frontend technologies, leadership capabilities, and a strong understanding of the AI/ML domain's UI/UX needs.

📌 Application Steps

To apply for this Full Stack UI Architect position at NTT DATA:

• Submit your application through the provided link on the NTT DATA careers portal.

• Portfolio Customization: Tailor your resume and cover letter to highlight specific experience in enterprise UI architecture, AI/ML platforms, design systems, and the technologies mentioned (React, TypeScript, GraphQL, etc.). Ensure your portfolio is readily accessible and showcases relevant projects.

• Resume Optimization: Clearly list your 12-15 years of experience, emphasizing the 5+ years in architect/lead roles. Use keywords from the job description such as "UI Architecture," "AI/ML Platforms," "Design System," "React," "TypeScript," "Scalability," and "Accessibility." Quantify achievements with metrics.

• Interview Preparation: Practice articulating your experience using the STAR method (Situation, Task, Action, Result) for behavioral questions. Prepare to walk through your portfolio projects and discuss architectural decisions in detail. Review common system design scenarios for frontend architecture.

• Company Research: Familiarize yourself with NTT DATA's mission, values, and their focus on AI/ML and digital transformation. Understand their client base and the types of solutions they provide to better align your responses with their strategic objectives.

⚠️ 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.