Senior Staff Engineer

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-11-06

Job description

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.

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.

• 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.

• 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.

Explore around this job

Field: Engineering, Construction and Energy Sub-niche: Manufacturing and hardware engineering All jobs at Experian

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About the role

This is a Senior Level role in the Engineering, Construction and Energy field (Manufacturing and hardware engineering) at Experian. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

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The employer

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Same sub-niche: Manufacturing and hardware engineering

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FAQ

What is the Senior Staff Engineer job at Experian?

A senior level role in engineering, construction and energy (manufacturing and hardware engineering) listed 3 days ago. The full description is on this page and on The Muse.

Where is this job?

Remote / flexible (United States). A remote or flexible location is listed; confirm with the employer which states are accepted.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

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How old is this listing?

It was posted on 2026-11-06 (3 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse manufacturing and hardware engineering jobs in the United States.

Sources and terms

• Job data: The Muse public API (listing dated 2026-11-06). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

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Sources

• BLS OEWS (wages and employment by occupation, May 2025)
• BLS Employment Projections 2025–35
• BLS Local Area Unemployment Statistics
• BLS JOLTS
• BLS State and Metro Area Employment
• Census Bureau American Community Survey (via Census Reporter)
• BEA GDP by state and Regional Price Parities
• IRS 2026 tax adjustments
• U.S. Department of Labor, minimum wage by state
• Tax Foundation state income tax rates 2026
• USAJOBS
• USCIS
• U.S. Department of State, visas
• NASA POWER climatology
• GeoNames / Census Gazetteer (coordinates)