Agentic Search Infrastructure Engineer - Moveworks

• Build and own the infrastructural substrate beneath the agentic search platform spanning the index engine the ingestion and enrichment pipeline and the entity identity and feature intelligence that gives content context. Solve the hard problem of keeping index-time enrichments aligned with what agents expect at query time so retrieval ranking and reasoning all build on a consistent foundation.

• Build and operate hybrid indexing technology at scale across large clusters spanning keyword-based sparse-vector indices embedding-based semantic indices and emerging semantic-ID indexing driven by next-token prediction. Own the full index lifecycle and expose clean unified contracts to the search primitives and recipes that agents compose on top of the corpus.

• Design and run high-throughput ingestion and enrichment pipelines that produce a multi-representation permission-aware corpus at index time. Orchestrate the stages that make content agent-ready including parsing chunking embedding entity resolution and access control and evolve them as new agentic use cases emerge.

• Build and operate multi-modal indexing across the full mix of enterprise data from free text and structured content such as tables to diagrams images and audio and video. Represent each modality so it is retrievable through a unified surface letting agents find the right material regardless of its form or source.

• Contribute to a knowledge graph that resolves entities across enterprise data sources letting agents link disparate resources such as tickets files and people through canonical entity relationships.

• Improve the performance scalability and observability of search including query latency indexing throughput and cluster health to deliver low-latency high-quality agentic search experiences. Apply techniques such as vector quantization to balance model quality retrieval performance and storage cost.

• Own search infrastructure end to end from intake and design through rollout and ongoing operations and help shape the search roadmap as the platform grows to support new agents primitives and recipes including needs not yet anticipated.

• Drive reliability and operability across the platform through index lifecycle policies capacity planning and cluster scaling strategies that keep a growing library of reusable search capabilities healthy in production.

• BS or MS in Computer Science or an equivalent engineering background; PhD is a plus.

• 1+ years of full-time industry experience.

• Hands-on experience with search technologies; proficiency in one or more search technologies such as Lucene Solr Elasticsearch or OpenSearch is required with additional experience in vector databases being an advantage.

• Excited to be part of an in-person team culture collaborating on-site with colleagues every day.

What We Do

As the AI platform for business transformation we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C" as we like to call it). With more than 8400+ customers we serve approximately 90% of the Fortune 500® and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™.Explore your future career with us visit www.careers.servicenow.comFrom Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Why Work With Us

By joining ServiceNow you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company you can grow your career faster.

Gallery