Senior Staff Engineer ( AI )

Aitomic Jobs; Hyderabad; On-site; INR 450,000 - 700,000; Full time

Job summary

Experian in Hyderabad, India, is seeking a Senior Staff Engineer (AI) to build a shared Agentic AI Platform. The role combines hands-on engineering with platform architecture leadership, driving reusable primitives and scalable agent workflows across enterprise teams.

Based on-site in Hyderabad, you will shape architectural direction, work with cloud-native systems, and mentor engineers while aligning cross-team initiatives under the Director Engineering.

Qualifications

• 8+ years of experience designing, building, and operating cloud-native software systems.
• Experience designing or operating systems that incorporate LLMs or AI models as core components.
• Proficiency in Python (and/or Java or Scala) for building backend services.
• Experience with public cloud platforms (AWS preferred).
• Proven ability to drive architectural alignment across teams through technical influence.

Responsibilities

• Design and build foundational platform capabilities for agentic AI systems.
• Establish shared primitives for registries, marketplaces, and integration.
• Define durable architectural patterns and reference architectures for multi-agent coordination.
• Embed governance, policy enforcement, and access control into AI workflows.
• Mentor engineers and influence technical direction through hands-on contribution.

Skills

Python

Java

Scala

LLMs

Distributed systems

Cloud-native

Platform architecture

AI model integration

Technical influence

Tools

AWS

Job description

Short Summary

Senior Staff Engineer ( AI ) with Experian. 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…

Key Details

• Position / opportunity: Senior Staff Engineer ( AI )


• Organization: Experian


• Country / coverage: India


• Location: Hyderabad, , India


• Work arrangement: On-site


• Opportunity type: Jobs


• Sector: Health


• Compensation: Not specified


• Duration: Not specified


• Start date: 2026-08-12


• Application deadline: Not specified

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 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 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. Our uniqueness is that we celebrate…

Responsibilities

• 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 ).

Requirements / Eligibility

• 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.