Senior Staff Engineer

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About the role

• 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 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 runti

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