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Company Description 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. Job Description 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 builderarchitect, 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 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. Qualifications 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 across scalability, reliability, security, cost, and developer experience.Experience designing or operating systems that incorporate LLMs or AI models as core components, including managing model interaction, control flow, and failure modes.Proficiency in Python (and/or Java or Scala) for building backend services, frameworks, or SDKs.Experience with public cloud platforms (AWS preferred), including compute, networking, storage, and security primitives.Demonstrated experience owning and evolving shared platform architectures over time, including setting boundaries, managing tradeoffs, and adapting designs as scale and requirements change.Proven ability to drive architectural alignment across teams through technical influence, design reviews, reference architectures, and hands-on collaboration rather than formal authority.Exposure to agent frameworks, multi-agent systems, or AI orchestration tools.Experience designing systems with explicit state management, lifecycle control, and correctness guarantees across asynchronous and long-running workflows.Experience working with orchestration systems, workflow engines, or event-driven architectures.Experience with authentication, authorization, and delegated access patterns, including OAuth 2.0 and related standards, as applied to service-to-service and user-mediated workflows.Experience building internal developer platforms, shared services, or reusable runtime frameworks.Staying hands-on with emerging AI capabilities and tools that informs system and platform design decisions. Who Thrives In This Role You think beyond individual teams and care deeply about ecosystem health.You enjoy influencing architecture across organizational boundaries.You are comfortable operating in designing systems that must evolve.You value reuse, cohesion, and long-term sustainability over short-term speed. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.