Senior Staff Engineer ( AI )

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few.Check out Experian Life on social or explore our Careers Site (experian.com/careers) to understand why.  We are building a shared Agentic AI Platform that enables teams across the enterprise to design, deploy, and operate AI-powered agents and workflows safely, consistently, and at scale.This role is for a builder–architect, someone with software and systems foundations who can operate hands-on while also shaping architectural direction across teams.You will design and build core agentic AI platform capabilities while actively ensuring teams adopt shared primitives rather than creating fragmented, one-off solutions.The role combines hands-on engineering, Platform architecture, and cross-enterprise influence, with a emphasis on reuse, cohesion, and long-term sustainability.You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering.This is Individual contributor role ( Non Managerial ).What you'll do here:Design and build foundational platform capabilities for agentic AI systems, including orchestration, lifecycle management, memory patterns, runtime policy and human-in-the-loop controls.Establish agent discovery, registration, and reuse mechanisms (e.g., registries, marketplaces, protocol integration) as shared platform capabilities.You will define and evolve durable architectural patterns, reference architectures, and golden paths for multi-agent coordination, bounded autonomy, failure handling, and system evolution.Design secure-by-default architectures that embed governance, policy enforcement, auditability, and access control into agentic systems and AI workflows.You will build reusable AI workflow primitives that teams can adopt consistently across the enterprise.Partner with enterprise teams (e.g., Cloud, Security, ITSM etc.) to integrate AI workflows into existing enterprise systems and platforms.Maintain a bird's-eye view of Agentic AI and AI Workflow initiatives across the enterprise, identifying the opportunities to reduce fragmentation and promote convergence.Mentor engineers and influence technical direction through hands-on contribution, design leadership, and clear reasoning. Must have skills:8+ years of experience in designing, building, and operating cloud-native software systems in production environments, with depth in platform, infrastructure, or distributed systems.Expertise to tradeoffs ...