Senior Staff Agentic Search Infrastructure Engineer - Moveworks

What you'll do

• Lead architecture and operation of indexing, ingestion, enrichment, and retrieval systems, including hybrid and multimodal search.
• Build permission-aware enterprise data pipelines and knowledge/entity capabilities that support reliable agent retrieval and reasoning.
• Drive platform scalability, reliability, performance, cost efficiency, and technical direction across teams; mentor engineers.

What they ask for

• BS or MS in Computer Science or a related technical field.
• 8-12+ years of industry experience building large-scale distributed systems, search platforms, or data infrastructure.
• Deep hands-on experience with Lucene, Elasticsearch, OpenSearch, Solr, or comparable retrieval systems; experience operating distributed systems at scale.
• Experience building production systems using vector search, embeddings, retrieval systems, or AI-driven search; track record leading cross-team technical initiatives.

Nice to have

• PhD.
• Experience with information retrieval or ranking, knowledge graphs or entity resolution, RAG or hybrid search, large-scale search clusters, or productionizing retrieval with ML/AI teams.

Pay

$190,900 - $334,100 USD base salary

Tools

Lucene, Elasticsearch, OpenSearch, Solr, vector search, embeddings, RAG

AI focus

Build search infrastructure for AI agents, including vector and semantic retrieval, embeddings, multimodal search, and enterprise knowledge representations that support agent reasoning.