16 hours ago
Hyderābād, IndiaStaff+
Responsibilities
- 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, reuse, registries, marketplaces, and protocol integration as shared platform capabilities.
- Define and evolve reference architectures and golden paths for multi-agent coordination, bounded autonomy, failure handling, and system evolution.
- Design secure-by-default architectures with governance, policy enforcement, auditability, and access control.
- Build reusable AI workflow primitives and internal developer platforms, shared services, or runtime frameworks.
- Partner with Cloud, Security, and ITSM teams to integrate AI workflows with existing enterprise systems and platforms.
- Drive architectural alignment across teams through technical influence, design reviews, reference architectures, and hands-on collaboration.
- Mentor engineers and shape technical direction through hands-on contribution and design leadership.
Requirements
- 8+ years of experience designing, building, and operating cloud-native software systems in production, with depth in platform, infrastructure, or distributed systems.
- Expertise balancing scalability, reliability, security, cost, and developer experience tradeoffs.
- Experience designing or operating systems that use LLMs or AI models as core components, including model interaction, control flow, and failure modes.
- Proficiency in Python and/or Java or Scala for backend services, frameworks, or SDKs.
- Experience with public cloud platforms, preferably AWS, including compute, networking, storage, and security primitives.
- Experience owning and evolving shared platform architectures as scale and requirements change.
- Ability to drive architectural alignment across teams through technical influence rather than formal authority.
- Exposure to agent frameworks, multi-agent systems, or AI orchestration tools.
- Experience with explicit state management, lifecycle control, and correctness guarantees for asynchronous and long-running workflows.
- Experience with orchestration systems, workflow engines, or event-driven architectures.
- Experience with authentication, authorization, delegated access patterns, and OAuth 2.0 for service-to-service and user-mediated workflows.
- Ability to stay hands-on with emerging AI capabilities and tools and apply them to system and platform design.
Benefits
- Hybrid work arrangement based in Hyderabad.
- Family well-being benefits, enhanced medical benefits, and paid time off.
- Work/life balance, wellness, professional development, volunteering, and reward and recognition programs.
About Experian
Experian builds credit reporting, identity and fraud prevention, and data analytics software that help lenders, insurers, healthcare providers, and marketers make decisions; it also offers consumer credit monitoring and scores. The company earns via data licensing, decisioning software, and subscription services, operates in 30+ countries, is headquartered in Costa Mesa, California, and is a FTSE 100 public company listed on the London Stock Exchange (EXPN); it is one of the three major U.S. credit bureaus.