Principal Search Consulting Architect
Core
Elite technical authority designing, governing, and scaling massive Elasticsearch cluster topologies for Fortune 500 enterprise customers to unlock AI-powered semantic search and data retrieval capabilities.
Role type
Principal Search Architect (Enterprise)
Builds
Resilient, next-generation enterprise retrieval architectures and AI-powered semantic search solutions on distributed Elasticsearch environments.
Domain
Enterprise Search, Distributed Systems, AI/ML (Vector Search, RAG)
Deliverable
production ML models | infrastructure
Required skills
Elasticsearch internals mastery, distributed systems theory, Apache Lucene mechanics, cloud-native infrastructure orchestration, polyglot coding (Java, Python, Go), performance tuning, high-throughput indexing strategies, executive stakeholder communication
Preferred skills
Experience with modern NLP frameworks and LLM orchestration tools, knowledge of Elasticsearch native ML nodes and vector fields, community IP development
Technologies
Elasticsearch, Apache Lucene, Docker, Terraform, AWS, Azure, GCP, Java, Python, Go
Responsibilities
Translate complex business requirements into resilient enterprise retrieval architectures, lead technical strategy for high-stakes customer engagements, design and operationalize semantic search architectures using vector databases, profile and tune distributed search performance for ultra-high-QPS environments, architect robust distributed ingestion strategies for petabyte-scale throughput, collaborate with Product Management to influence the Elasticsearch codebase roadmap, capture and publish global best practices and reference architectures
Seniority
Principal, hands-on IC with strategic advisory and mentorship
