Senior Principal Engineer

Summary

Join Experian as a Platform Architect and lead the architecture vision for D2C platforms, emphasizing mobile-first and AI-native approaches. Define roadmaps for mobile and web platforms, focusing on scalability, maintainability, and rapid experimentation. Champion modern patterns like micro frontends and serverless systems, while applying enterprise architecture principles. Build reusable frameworks and automation to accelerate teams and integrate AI into all architecture layers. Lead technical design across consumer products, shaping cohesive end-to-end architecture, and guide strategic areas such as identity and personalization. Collaborate with various teams, mentor engineers, and promote the adoption of AI tools. Lead the Exponential Engineer Initiative to foster AI-first engineering and evaluate the latest technologies to improve engineering results. This role requires strong leadership, technical expertise, and a collaborative approach.

Requirements

• 8+ years in software engineering, with 5+ in architecture or principal roles
• Experience with mobile (iOS/Swift, Android/Kotlin) and web (React, Angular) platforms
• Expertise in microservices, GraphQL, API-first design, and AWS-native systems
• Familiarity with SDUI, distributed systems, and resilient architecture
• Operational experience in monitoring, observability, and incident response
• Background in consumer tech domains like credit, personal finance, or marketplaces
• Experience with headless CMS, rules engines, experimentation, and personalization
• Experience with AI agent design, LLM orchestration (such as MCP), and integration of AI tools into developer workflows
• Proficiency or active use of GitHub Copilot, Cursor, Claude, and prompt-based development tools
• Experience in developer enablement, automation platforms, or engineering transformation initiatives

Responsibilities

• Guide the architecture vision for D2C platforms with a mobile-first and AI-native mindset
• Define roadmaps across mobile and web with emphasis on scalability, maintainability, and rapid experimentation
• Champion modern patterns including micro frontends, server-driven UI (SDUI), BFF, and serverless systems
• Apply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goals
• Build for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teams
• Integrate AI into every layer of architecture to support thoughtful, agentic system design
• Lead technical design across consumer products and internal platforms
• Shape cohesive end-to-end architecture spanning APIs, services, and frontends
• Guide strategic areas such as identity, content delivery, personalization, and A/B testing
• Support agent-based automation and apply MCP to enable scalable AI workflows
• Ensure, security, observability, and operational excellence across systems
• Be a technical partner across product, data, cybersecurity, and platform teams
• Mentor engineers and architects across domains
• Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows
• Advance system-level thinking and reusability through shared scaffolds and frameworks
• Lead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platforms
• Promote agent-based design, prompt abstraction, and developer enablement across teams
• Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results

Benefits

• Great compensation package and bonus plan
• Core benefits including full medical, dental, vision, and matching 401K
• Flexible schedule, ability to work remotely, hybrid, or in-office
• Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays