Tech Lead .Net & React full stack – AI Enablement

Job Description

Job description

The AI Enablement team is building a unified platform that empowers engineering teams to rapidly and safely ship AIpowered features. As aTech 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 thecontribution modelsthat enable teams to plug functionality into the platform consistently.

This role requires strong technical breadth across.NETandNode/React, a stricttest-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 evolvecontribution modelsand extension frameworks across UI and backend surfaces.
• Ensure clear boundaries between platform, product, and extension layers-and be able todefend them technically and organizationally.
• Guide teams in system design, scalability, observability, and maintainability.

Hands-On Development

• Contribute production-grade code across both.NETbackend services andNode/React/TypeScriptfrontend 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 astrict 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 isnotrequired-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 inboth:
  • .NET (C#)for backend and service development
  • Node.js, React, and TypeScriptfor frontend and platform UI engineering
• Proven experience designing and implementing large-scale architectures across the stack.
• Strong ability to define and maintainclear architectural boundaries, governance, and ownership.
• Deep experience withtest-first development(TDD, contract tests, UI tests, CI/CD quality gates).
• Practical experience integrating or building withLLM-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.

Additional Information

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.

Experian Careers - Creating a better tomorrow together