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ServiceNow

Sr Staff Software Engineer

Reposted Yesterday
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Hybrid
Hyderabad, Telangana
Senior level
Hybrid
Hyderabad, Telangana
Senior level
Design, build, and operate production-grade agentic AI systems for ServiceNow’s enterprise platform. Responsibilities include multi-agent orchestration, tool use, planning, memory, retrieval and grounding, model integration, evaluation, safety governance, observability, and failure recovery. The role requires ownership of scalable system and database architecture, technical leadership, architecture decisions, code reviews, mentoring, and stakeholder communication.
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Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

 

Job Description

You will design, build, and operate production-grade agentic AI systems embedded across ServiceNow's platform — autonomous agents that reason over real enterprise data, take action across workflows, and run safely at Fortune 500 scale. 

Your core focus areas: 

  • System designs. Hands-on and deep understanding of building end to end system and DB architecture that scale to enterprise data and traffic. 
  • Agentic architecture. Design and ship multi-agent systems — orchestration, tool use, planning loops, memory, and failure recovery — that operate reliably in production, not in notebooks. 

  • Enterprise-grounded reasoning. Build agents that leverage ServiceNow's data layer — CMDB, Workflow Data Fabric, and Knowledge Graph — to make decisions with context no frontier model has on its own. 

  • Trust, safety, and governance. Own the guardrails: observability, human-in-the-loop controls, and compliance infrastructure that make autonomous systems safe to deploy at scale. 

  • Retrieval and grounding. Work closely with our search team to ensure agents are grounded in accurate, low-latency retrieval — RAG pipelines, hybrid search, re-ranking, and evaluation — as a critical dependency of agentic quality. 

  • Model integration and evaluation. Integrate frontier models (Anthropic, Google, OpenAI) into the Sense → Decide → Act → Govern architecture; evaluate trade-offs across cost, latency, and capability for production use cases. 

  • Engineering leadership. Raise the technical bar through architecture decisions, code reviews, and coaching — particularly on agentic design patterns and production AI discipline.

  • Communication Skill. Strong in articulation, building interpersonal skills, and managing technical as well as business stakeholders 

Qualifications

  • 12-15 years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems. 
  • Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery. Not prototypes. 
  • Hands-on experience automation, continuous integration, build and release management processes and practices. 
  • Full stack software development stack hands-on knowledge, specially JavaScript, TypeScript, Python will be added advantage 
  • Working experience with frontier AI SDKs (Anthropic, Google, or OpenAI) — prompt engineering, structured outputs, and model evaluation in production settings. 
  • Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics. 
  • Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices. 

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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ServiceNow Santa Clara, California, USA Office

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ServiceNow San Francisco, California, USA Office

101 Green Street, San Francisco, CA, United States, 94111

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