Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job DescriptionJob description
The AI Enablement team is building a unified platform that empowers engineering teams to rapidly and safely ship AI‑powered features. As a Tech Lead / Senior Full-Stack Engineer, you will provide architectural leadership across backend (MCP infrastructure, services) and frontend (widget host app, UI contribution surface). You will define and evolve the contribution models that enable teams to plug functionality into the platform consistently.
This role requires strong technical breadth across .NET and Node/React, a strict test-first mindset, the ability to define and defend architectural boundaries, and a platform-team mentality where success is measured by what other teams deliver using your foundation.
Key Responsibilities
Architecture & Full-Stack Leadership
- Lead architectural decisions across backend APIs, MCP services, frontend contributions, and cross-cutting platform components.
- Define and evolve contribution models and extension frameworks across UI and backend surfaces.
- Ensure clear boundaries between platform, product, and extension layers—and be able to defend them technically and organizationally.
- Guide teams in system design, scalability, observability, and maintainability.
Hands-On Development
- Contribute production-grade code across both .NET backend services and Node/React/TypeScript frontend components.
- Build APIs, platform capabilities, UI frameworks, and developer tooling aligned with platform simplicity and extensibility.
- Maintain high performance, security, reliability, and DX-first design.
Test-First Engineering
- Champion a strict test-first approach: TDD, contract testing, integration tests, automated quality gates.
- Build testing standards that apply consistently across backend and frontend surfaces.
LLM Platform Integration
- Apply a pragmatic understanding of LLM fundamentals—tokens, context windows, tool descriptions—to shape platform boundaries.
- Collaborate with the AI platform to design tool invocation flows, prompt interfaces, and safe execution patterns.
- Deep theoretical AI knowledge is not required—but rapid, confident learning and hands-on integration is expected.
Platform Team Mindset
- Operate with a service mindset: your success is defined by what other teams build successfully on your platform.
- Create documentation, reference implementations, architectural guardrails, SDK patterns, and contribution guidelines.
- Drive alignment across engineering groups to ensure the platform becomes the default mechanism for AI integration.
Qualifications
Qualifications
Required Qualifications
- Strong expertise in both:
- .NET (C#) for backend and service development
- Node.js, React, and TypeScript for frontend and platform UI engineering
- Proven experience designing and implementing large-scale architectures across the stack.
- Strong ability to define and maintain clear architectural boundaries, governance, and ownership.
- Deep experience with test-first development (TDD, contract tests, UI tests, CI/CD quality gates).
- Practical experience integrating or building with LLM-based platforms (tokens, context windows, tool schemas).
- Strong communicator who collaborates across teams and influences engineering direction.
Preferred Qualifications
- Experience building internal developer platforms, extensibility frameworks, contribution surfaces, plug-in architectures, or micro-frontends.
- Experience with MCP, tool architectures, or agent frameworks.
- Exposure to cloud-native platforms, distributed systems, and high-scale production environments.
- Understanding of platform governance—versioning, schema contracts, compatibility layers, security boundaries.
What Success Looks Like
- A clear, scalable architecture that accelerates—rather than restricts—teams integrating AI.
- Multiple teams ship AI features quickly using your contribution models and platform components.
- Back-end and front-end surfaces remain clean, governed, and easy to extend.
- The platform remains stable, testable, and well-documented.
- You become a trusted architectural voice across teams and leadership.
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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