Hiring: Agentic Search Infrastructure Engineer - Moveworks Company: ServiceNow Location: Mountain View, CA Job Posted Time: 2026-09-03 10:57:20 Employment Type: Full-time / Remote Target Skills & Keywords : Elasticsearch, OpenSearch, ServiceNow, Solr About the job Experience: •1+ years of full-time industry experience. Required Skills: •Join us to put AI to work for people. •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. •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. Qualifications: •BS or MS in Computer Science or an equivalent engineering background; PhD is a plus. •Applied hands-on capability in 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. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!