Principal Search Consulting Architect
Core
Elite technical authority designing, governing, and scaling massive Elasticsearch cluster topologies for Fortune 500 enterprise customers to enable AI-powered semantic search and data retrieval.
Role type
Principal Search Architect (Enterprise Solutions)
Builds
Resilient, next-generation enterprise retrieval architectures and AI-powered semantic search solutions on distributed Elasticsearch environments.
Domain
Search Technology / Distributed Systems / AI Engineering
Deliverable
production ML models | infrastructure
Required skills
Elasticsearch internals mastery, distributed systems theory, AI-powered search engineering, cloud-native infrastructure orchestration, polyglot coding (Java/Python/Go), high-throughput indexing strategies, performance tuning for ultra-high-QPS
Preferred skills
Experience with vector search (kNN, ANN, ELSER), RAG pipelines, Apache Lucene mechanics, cross-cluster replication (CCR/CCS), Index Lifecycle Management (ILM)
Responsibilities
Translate complex business requirements into resilient enterprise retrieval architectures; lead technical strategy for high-stakes customer engagements including node blueprinting and capacity planning; design and operationalize semantic search architectures using native vector capabilities; profile and tune distributed search performance for sub-second SLAs; architect robust distributed ingestion strategies for petabyte-scale throughput; collaborate with Product Management to influence the Elasticsearch codebase roadmap; publish global best practices and reference architectures; mentor senior engineers and cultivate a culture of technical excellence
Seniority
Principal, strategic advisor & hands-on IC
