Associate Agentic Search Infrastructure Engineer - Moveworks

ServiceNow•Mountain View, CA

8h•$108,800 - $157,800•Onsite

About The Position

Contribute to the shift from product-specific search solutions to a composable, agent-native infrastructure foundation that agents and applications use to locate, search, discover, and recommend resources across heterogeneous enterprise data. Build and own infrastructure beneath the agentic search platform, including the index engine, ingestion and enrichment pipeline, and entity, identity, and feature intelligence. Keep index-time enrichments aligned with agent needs at query time so retrieval, ranking, and reasoning share a consistent foundation. Build and operate hybrid indexing technology across large clusters, including keyword-based sparse-vector indices, embedding-based semantic indices, and emerging semantic-ID indexing. Own the index lifecycle and provide unified contracts for search primitives and recipes. Design and run high-throughput ingestion and enrichment pipelines that produce multi-representation, permission-aware corpora, including parsing, chunking, embedding, entity resolution, and access control. Build and operate multimodal indexing for enterprise data such as free text, structured content, diagrams, images, audio, and video, making content retrievable through a unified interface. Contribute to a knowledge graph that resolves entities across enterprise data sources. Improve search performance, scalability, and observability, including query latency, indexing throughput, and cluster health; use 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. Drive reliability and operability through index lifecycle policies, capacity planning, and cluster scaling strategies. This is a highly collaborative, in-person role working with Search Ranking, ML, and Platform engineering teams.

Requirements

BS or MS in Computer Science or an equivalent engineering background.
Hands-on experience with search technologies.
Proficiency in one or more of Lucene, Solr, Elasticsearch, or OpenSearch.
Willingness and interest to work on-site with colleagues every day.

Nice To Haves

PhD in Computer Science or a related field.
Experience with vector databases.

Responsibilities

Contribute to the transition from product-specific search solutions to a composable, agent-native infrastructure foundation.
Build and own the agentic search platform infrastructure, including the index engine, ingestion and enrichment pipeline, and entity, identity, and feature intelligence.
Keep index-time enrichments aligned with agent expectations at query time.
Build and operate hybrid indexing technology across large clusters, including sparse-vector, semantic, and semantic-ID indexing.
Own the full index lifecycle and expose unified contracts to search primitives and recipes.
Design and operate high-throughput ingestion and enrichment pipelines that produce multi-representation, permission-aware corpora.
Orchestrate content preparation stages, including parsing, chunking, embedding, entity resolution, and access control.
Build and operate multimodal indexing for text, structured content, diagrams, images, audio, and video.
Contribute to a knowledge graph that resolves entities across enterprise data sources and links resources through canonical relationships.
Improve search performance, scalability, and observability, including query latency, indexing throughput, and cluster health.
Apply techniques such as vector quantization to balance model quality, retrieval performance, and storage cost.
Own search infrastructure from intake and design through rollout and ongoing operations, and help shape the search roadmap.
Drive platform reliability and operability through index lifecycle policies, capacity planning, and cluster scaling strategies.
Collaborate in person with Search Ranking, ML, and Platform engineering teams to deliver production-grade agentic search capabilities.