UI Architect - Generative AI
UI Architect
Must Have Technical/Functional Skills
• Core UI & Front End Architecture
• Strong experience architecting scalable, high performance UI solutions delivering exceptional customer experiences.
• 5+ years of hands on React experience building enterprise scale applications.
• 2+ years of experience with Remix or Next.js, including SSR, routing, and performance optimization.
• Deep understanding of UI architecture principles, component design, state management, and modular front end patterns.
• Proven track record designing and delivering large scale, consumer facing web applications.
• Strong command of web fundamentals including HTML, CSS, accessibility, browser performance, and security best practices.
AI Driven & Intelligent UI Skills
• Experience integrating or developing with LLMs and Generative AI services in front end or full stack environments.
• Strong understanding of prompt engineering concepts and interaction design for AI powered interfaces.
• Experience architecting AI inference aware UI systems, including latency sensitive rendering and streaming responses.
• Ability to design intelligent UI flows, including conversational, adaptive, and personalized user journeys.
• Familiarity with AI safety, governance, and responsible AI considerations in customer facing applications.
• Experience developing AI powered front end systems, including copilots, assistants, and AI driven design systems.
• Knowledge of AI based analytics and telemetry to track user behavior, performance, and AI effectiveness.
• Cloud, Platform & Engineering Practices
• Strong experience with TypeScript and modern JavaScript frameworks.
• Working knowledge of AWS services and cloud based UI architectures.
• Experience with CI/CD pipelines, GitHub Actions, and automated quality gates.
• Working knowledge of Node.js for front end platform enablement.
• Experience with Sitecore or headless CMS platforms is preferred.
• UI Architecture & Technical Leadership
• Architect and design enterprise grade UI platforms that are scalable, maintainable, and performant.
• Partner with other architects to define and evolve the front end technical strategy and reference architectures.
• Establish UI architectural standards, coding guidelines, and reusable design patterns across teams.
• Drive technical decisions that balance innovation, user experience, and long term maintainability.
• Mentor and guide development teams on UI architecture, framework usage, and implementation best practices.
• AI Augmented UI Platform Responsibilities
• Define and implement AI augmented UI architectures aligned with enterprise standards.
• Integrate LLMs and GenAI services into customer facing and internal digital tools.
• Design and evolve AI driven design systems and intelligent component libraries.
• Establish spec driven development workflows leveraging AI for improved speed and quality.
• Lead the AI front end platform strategy, including framework selection and governance.
• Partner with Data Science, ML Engineering, and Product teams to deliver intelligent, compliant, and scalable UI solutions.
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