Senior Staff Agentic Search Infrastructure Engineer - Moveworks

About the job

Responsibilities

• Lead the design, development, and operation of critical search infrastructure components, including indexing systems, ingestion pipelines, metadata enrichment frameworks, and retrieval foundations.
• Drive technical strategy and architectural decisions for search infrastructure to support future agent use cases and expanding enterprise datasets.
• Serve as the technical authority for the end-to-end search lifecycle, from content ingestion through retrieval and ranking.
• Design and operate large-scale hybrid indexing architectures combining sparse retrieval, dense vector search, and semantic retrieval.
• Establish clean abstractions and interfaces for downstream systems and AI agents to leverage search capabilities.
• Drive innovations to improve search quality, latency, scalability, and cost efficiency.
• Architect high-throughput ingestion and enrichment pipelines for agent consumption.
• Define strategies for content parsing, chunking, embedding generation, entity extraction, metadata enrichment, and access control.
• Ensure consistency between index-time and query-time representations for reliable agent reasoning.
• Lead the evolution of indexing and retrieval systems across diverse enterprise content types (text, structured data, images, diagrams, audio, video).
• Develop unified frameworks for agents to discover and reason across modalities.
• Partner with ML and AI teams to bring emerging multi-modal capabilities into production.
• Contribute to the design and evolution of enterprise knowledge graph capabilities.
• Lead initiatives to improve entity resolution, relationship modeling, and contextual understanding.
• Enable richer retrieval and agent reasoning through high-quality enterprise knowledge representations.
• Own key platform metrics including search latency, indexing throughput, retrieval quality, infrastructure efficiency, and cluster health.
• Drive operational excellence through observability, capacity planning, resiliency engineering, and lifecycle management.
• Lead efforts to optimize infrastructure costs while maintaining high-performance retrieval experiences.
• Provide technical leadership and mentorship to engineers.
• Influence roadmap and architectural direction through technical vision, design reviews, and cross-functional collaboration.
• Drive alignment across teams to deliver cohesive solutions to complex engineering challenges.
• Lead multi-quarter initiatives that span teams and advance the capabilities of the agentic search platform.

Requirements

• BS or MS in Computer Science or a related technical field; PhD is a plus.
• 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 and scaling production systems that leverage vector search, embeddings, retrieval systems, or AI-driven search capabilities.
• Proven track record of leading complex technical initiatives across teams and influencing architectural decisions.
• Demonstrated ability to balance technical depth with pragmatic delivery and operational excellence.
• Experience with information retrieval, ranking systems.

Benefits

• Equity (when applicable)
• Variable/incentive compensation
• Health plans, including flexible spending accounts
• 401(k) Plan with company match
• ESPP
• Matching donations
• Flexible time away plan
• Family leave programs