Solutions Architect - Search Specialist

Elastic
United Kingdom
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsSkills: ["Communication","Presentation skills","Collaboration","Continuous learning","Knowledge sharing"]

Design and deploy next-generation AI-powered search solutions, leveraging Elastic’s semantic and vector search technologies, including RAG and vector databases. Enable high-accuracy retrieval with ELSER (Elastic Learned Sparse Encoder), implement vector search algorithms, and deliver proof-of-concept projects that improve search relevance and user experience. Share expertise through presentations and content, and collaborate closely with engineers and data scientists to evangelize and continuously advance solution architecture.

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FursaFursa
Elastic
Elastic
2 days ago

Solutions Architect - Search Specialist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design and deploy next-generation AI-powered search solutions, leveraging Elastic’s semantic and vector search technologies, including RAG and vector databases. Enable high-accuracy retrieval with ELSER (Elastic Learned Sparse Encoder), implement vector search algorithms, and deliver proof-of-concept projects that improve search relevance and user experience. Share expertise through presentations and content, and collaborate closely with engineers and data scientists to evangelize and continuously advance solution architecture.
Location: United Kingdom
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement next-generation search solutions using Elastic’s AI, semantic search, and vector search capabilities.
  • •Enable organizations to improve search accuracy and retrieval efficiency using ELSER.
  • •Implement vector search algorithms and high-dimensional vector representations for information retrieval.
  • •Deliver proof-of-concept projects showcasing the combined value of AI, semantic search, vector search, and ELSER.
  • •Present and evangelize the vision through talks, blog posts, and other channels while collaborating with cross-functional teams.

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeaveVolunteer Time

Key Requirements

  • •10+ years of experience designing and architecting enterprise-level search solutions.
  • •Deep understanding of AI and semantic search, with focus on RAG, vector search, and NLP.
  • •Familiarity with emerging AI/search ecosystem technologies and how they interoperate (e.g., Hugging Face, LangChain).
  • •Solid knowledge of ELSER’s architecture and other models within the Hugging Face ecosystem.
  • •Experience with vector databases and other emerging data storage solutions.
Experience:10+ years
Skills:CommunicationPresentation skillsCollaborationContinuous learningKnowledge sharing
Languages:Spanish
Tech Stack:ElasticELSERRAGVector searchSemantic searchVector databasesNLPHugging FaceLangChain

Company Brief

Elastic
Builds the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash) and provides search, observability, and security solutions that enable organizations to search, analyze, and protect data in real time across applications, infrastructure, and enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 2012
WebsiteLinkedIn