Associate Agentic Search Infrastructure Engineer

ServiceNow

Mountain View, CA • 18m ago • On-site

Senior

On-site

108,800 - 157,800 USD/yr

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Potential salary for Associate Agentic Search Infrastructure Engineer role

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$108,800 – $157,800/year

Quick Facts

  • Role: Associate Agentic Search Infrastructure Engineer

  • Focus: Agent-native, composable search infrastructure (indexing, ingestion/enrichment, entity/identity context, and retrieval)

Description

Own the infrastructural substrate beneath an agentic search platform that helps agents locate, search, discover, and recommend resources across heterogeneous enterprise data. Build hybrid indexing and permission-aware ingestion/enrichment pipelines, ensuring index-time enrichments remain aligned with what agents expect at query time. Improve performance, scalability, and observability through end-to-end production operations and reliability work.

Responsibilities

  • Build and operate hybrid indexing technology at scale (sparse-vector keyword indices, embedding-based semantic indices, and semantic-ID indexing)

  • Own the full index lifecycle and expose unified contracts for search primitives and recipes

  • Design and run high-throughput ingestion and enrichment pipelines (parsing, chunking, embedding, entity resolution, access control)

  • Implement multi-modal indexing across text, structured content, and media (diagrams, images, audio, video) via a unified retrieval surface

  • Contribute to a knowledge graph that resolves entities across enterprise sources through canonical relationships

  • Optimize query latency, indexing throughput, and cluster health; apply techniques such as vector quantization to balance quality, performance, and storage cost

  • Own search infrastructure end to end: intake, design, rollout, and ongoing operations

  • Drive reliability via index lifecycle policies, capacity planning, and cluster scaling strategies

Requirements

  • BS or MS in Computer Science (or equivalent engineering background); PhD is a plus

  • Hands-on experience with search technologies; proficiency in one or more of: Lucene, Solr, Elasticsearch, OpenSearch

  • Vector database experience is an advantage

  • Enthusiasm for an in-person, on-site team culture and daily collaboration

Benefits

  • Base pay guideline of $108,800 - $157,800 plus equity (when applicable), variable/incentive compensation, and benefits

  • Health plans, flexible spending accounts, 401(k) with company match, ESPP

  • Matching donations, flexible time away, and family leave programs

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