About this role
About the Role
The AI Enablement team is building a unified platform that allows product and engineering teams to quickly integrate AI capabilities into their customer experiences. As a Senior Frontend Engineer, you will design and build the Widget Host Application and the UI contribution surface that enables teams to plug in AI-driven widgets, tools, and experiences in a scalable and extensible manner.
You’ll work on a modern Node/React/TypeScript stack with a strict test-first approach, shaping a UI platform that other teams can confidently build upon.
Key Responsibilities
Frontend Platform Development
Architect and develop the Widget Host App, enabling secure, scalable, and flexible embedding of AI widgets across products.Build the UI contribution framework that allows teams to register, customize, and render UI components consistently across surfaces.Ensure performance, accessibility, responsiveness, and cross-browser reliability.Test-First Engineering
Follow a strict test-first discipline using unit, integration, and UI component testing frameworks.Drive quality practices across the team and contribute to automated pipelines.Extensible UI Platform Design
Design plug-in models, contribution APIs, and extensible patterns enabling teams to create and deploy UI features rapidly.Influence the architecture for widget lifecycle management, sandboxing, secure rendering, and communication patterns.Collaboration & Platform Mindset
Partner with backend, design, and product teams to deliver end-to-end AI experiences.Operate with a platform mindset—your success is measured by how easily and quickly other teams build on your UI platform.Create documentation, samples, and SDKs that accelerate adoption.Required Qualifications
Strong experience with Node.js, React, and TypeScript.Deep understanding of frontend architecture, component-driven development, state management, and build systems.Test-first mindset with experience in Jest, React Testing Library, Playwright/Cypress, or similar tools.Experience building or contributing to extensible UI platforms, plugin frameworks, or micro-frontend architectures.Strong understanding of web security, performance optimization, and UI scalability. Qualifications
Preferred Qualifications
Experience with Model Context Protocol (MCP) or similar tool/agent frameworks.Familiarity with event-driven architectures, streaming platforms, or asynchronous pipelines.Exposure to AI ecosystems: vector stores, embeddings, RAG, or agent frameworks.Experience building internal developer platforms or enablement tooling.What Success Looks Like
Other teams ship AI-powered features faster and more safely because of the infrastructure you build.AI tools are easy to integrate, observable, testable, and reliable.MCP-based components scale seamlessly across multiple teams and use cases.Engineering quality remains consistently high because of your test-first approach. Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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