Senior Staff Agentic Search Infrastructure Engineer - Moveworks
ServiceNow5 hours ago
Base Salary
$191k - $334k/yr
Responsibilities
- Lead the design, development, and operation of search infrastructure components including indexing systems, ingestion pipelines, metadata enrichment frameworks, and retrieval foundations.
- Drive technical strategy and architectural decisions for scalable search infrastructure supporting AI agents and large enterprise datasets.
- Design and operate hybrid indexing architectures combining sparse retrieval, dense vector search, semantic retrieval, and emerging indexing approaches.
- Build high-throughput ingestion and enrichment pipelines with content parsing, chunking, embedding generation, entity extraction, metadata enrichment, and access control enforcement.
- Lead multimodal indexing and retrieval across text, structured data, images, diagrams, audio, and video.
- Contribute to enterprise knowledge graph capabilities, entity resolution, relationship modeling, and contextual understanding.
- Own search latency, indexing throughput, retrieval quality, infrastructure efficiency, and cluster health metrics.
- Drive observability, capacity planning, resiliency engineering, lifecycle management, and infrastructure cost optimization.
- Provide technical leadership and mentorship while influencing roadmap and architecture across multiple engineering teams.
- Lead multi-quarter initiatives spanning Search Infrastructure, Ranking, ML, Platform, and AI teams.
Requirements
- BS or MS in Computer Science or a related technical field; a PhD is preferred.
- 8–12+ years of industry experience building large-scale distributed systems, search platforms, or data infrastructure.
- Deep hands-on experience with search technologies such as Lucene, Elasticsearch, OpenSearch, Solr, or comparable retrieval systems.
- Strong experience designing and operating distributed systems at scale, including storage, indexing, serving, and data processing infrastructure.
- Experience building production systems using vector search, embeddings, retrieval systems, or AI-driven search capabilities.
- Proven ability to lead complex technical initiatives across teams and influence architecture beyond an individual team’s scope.
- Experience with information retrieval, ranking systems, recommendation systems, or AI-powered search platforms is preferred.
- Experience with knowledge graphs, entity resolution systems, or enterprise data modeling is preferred.
- Familiarity with dense retrieval, RAG architectures, hybrid search, and semantic indexing is preferred.
- Experience operating large-scale search clusters and performance-sensitive distributed infrastructure is preferred.
- Experience working with ML or AI platform teams to productionize intelligent retrieval systems is preferred.
- Strong communication, collaboration, technical depth, pragmatic delivery, and operational excellence are expected.
Benefits
- Base pay is $190,900–$334,100, plus equity when applicable, variable/incentive compensation, and benefits.
- Benefits include health plans, flexible spending accounts, a 401(k) plan with company match, ESPP, matching donations, flexible time away, and family leave programs.
- The role has a required-in-office work persona and is part of an in-person engineering culture.
- The position is a regular employee role in the AMS–North America and Canada region.
Tech Stack
Elasticsearch
Categories
BackendData Engineering
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.