Senior Agentic Search Infrastructure Engineer - Moveworks

ServiceNow
Mountain View, CALIFORNIA, US2026-07-17Full-time

About the job

Contribute to the org-wide shift from product-specific search solutions to a composable, agent-native infrastructure foundation that agents and applications build on to locate, search, discover, and recommend resources across heterogeneous enterprise data.

Responsibilities

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.

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.

Design and run high-throughput ingestion and enrichment pipelines that produce a multi-representation, permission-aware corpus at index time.

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.

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.

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.

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.

Qualifications

Minimum

BS or MS in Computer Science or an equivalent engineering background

2+ 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

Preferred

PhD is a plus

Additional experience in vector databases being an advantage