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Senior Staff Agentic Search Infrastructure Engineer Moveworks

ServiceNow


Job Location:

Mountain View, CA - USA

Monthly Salary: Not provided by the employer
Posted: 1 October 2026 (Yesterday)
Application Deadline: 29 December 2026
Vacancies: 1 Vacancy

Job Summary

Senior Staff Software Engineer Agentic Search Infrastructure About the Role

Join us as we build the next generation of enterprise search infrastructure powering AI agents. Our mission is to evolve from traditional product-specific search systems into a composable agent-native platform that enables agents and applications to discover retrieve reason over and recommend information across heterogeneous enterprise data sources.

As a Senior Staff Engineer you will be the technical owner for foundational search infrastructure that serves as the backbone of our agentic platform. You will drive the architecture scalability and evolution of core indexing and retrieval systems while partnering closely with Search Ranking ML Platform and AI teams to deliver production-grade search capabilities that power agent experiences across the company.

What Youll Do Own Core Search Infrastructure

  • Lead the design development and operation of critical search infrastructure components including indexing systems ingestion pipelines metadata enrichment frameworks and retrieval foundations that support a growing ecosystem of AI agents.
  • Drive technical strategy and architectural decisions across multiple search infrastructure domains ensuring the platform scales to support future agent use cases and expanding enterprise datasets.
  • Serve as the technical authority for the end-to-end search lifecycle from content ingestion through retrieval and ranking.

Build Next-Generation Indexing Systems

  • Design and operate large-scale hybrid indexing architectures that combine sparse retrieval dense vector search semantic retrieval and emerging indexing approaches.
  • Establish clean abstractions and interfaces that allow downstream ranking systems and AI agents to leverage search capabilities consistently across multiple retrieval paradigms.
  • Drive innovations that improve search quality latency scalability and cost efficiency across billions of indexed entities.

Lead Enterprise Data Intelligence

  • Architect high-throughput ingestion and enrichment pipelines that transform enterprise content into rich permission-aware representations optimized for agent consumption.
  • Define strategies for content parsing chunking embedding generation entity extraction metadata enrichment and access control enforcement.
  • Ensure consistency between index-time representations and query-time retrieval mechanisms to provide reliable foundations for agent reasoning.

Advance Multi-Modal Search

  • Lead the evolution of indexing and retrieval systems across diverse enterprise content types including text structured data images diagrams audio and video.
  • Develop unified frameworks that enable agents to discover and reason across modalities through a consistent retrieval experience.
  • Partner with ML and AI teams to bring emerging multi-modal capabilities into production.

Drive Knowledge and Entity Infrastructure

  • Contribute to the design and evolution of enterprise knowledge graph capabilities that connect people content tickets documents conversations and business entities.
  • Lead initiatives that improve entity resolution relationship modeling and contextual understanding throughout the search platform.
  • Enable richer retrieval and agent reasoning through high-quality enterprise knowledge representations.

Scale Reliability and Performance

  • Own key platform metrics including search latency indexing throughput retrieval quality infrastructure efficiency and cluster health.
  • Drive operational excellence through observability capacity planning resiliency engineering and lifecycle management.
  • Lead efforts to optimize infrastructure costs while maintaining high-performance retrieval experiences at scale.

Technical Leadership

  • Provide technical leadership and mentorship for engineers across the organization.
  • Influence roadmap and architectural direction through technical vision design reviews and cross-functional collaboration.
  • Drive alignment across Search Infrastructure Ranking ML and Platform teams to deliver cohesive solutions to complex engineering challenges.
  • Lead multi-quarter initiatives that span teams and materially advance the capabilities of the agentic search platform.

Qualifications :

Qualifications Required

  • BS or MS in Computer Science or a related technical field; PhD is a plus.
  • 8-12 years of industry experience building large-scale distributed systems search platforms or data infrastructure.
  • Deep hands-on experience with search technologies such as Lucene Elasticsearch OpenSearch Solr or comparable retrieval systems.
  • Strong experience designing and operating distributed systems at scale including storage indexing serving and data processing infrastructure.
  • Experience building and scaling production systems that leverage vector search embeddings retrieval systems or AI-driven search capabilities.
  • Proven track record of leading complex technical initiatives across teams and influencing architectural decisions beyond an individual teams scope.
  • Demonstrated ability to balance technical depth with pragmatic delivery and operational excellence.

For positions in this location we offer a base pay of $190900 - $334100 plus equity (when applicable) variable/incentive compensation and benefits.  Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.  Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location.  We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs.  

Compensation is based on the geographic location in which the role is located and is subject to change based on work location. 

Preferred

  • Experience with information retrieval ranking systems recommendation systems or AI-powered search platforms.
  • Experience with knowledge graphs entity resolution systems or enterprise data modeling.
  • Familiarity with modern retrieval approaches including dense retrieval RAG architectures hybrid search and semantic indexing.
  • Experience operating large-scale search clusters and performance-sensitive distributed infrastructure.
  • Background working closely with ML or AI platform teams to productionize intelligent retrieval systems.

Culture

  • Passion for collaborating in a highly engaged in-person engineering culture.
  • Strong communication skills and a track record of influencing across organizational boundaries.
  • Excitement for solving foundational infrastructure problems that unlock the next generation of AI agent experiences.

For positions in this location we offer a base pay of $190900 - $334100 plus equity (when applicable) variable/incentive compensation and benefits.  Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.  Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location.  We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs.  

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.


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 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 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.


Remote Work :

No


Employment Type :

Full-time


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