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Solutions Architect (Search Specialist)

Elastic
senior
Location

United Kingdom

Work Type

Onsite

Seniority

senior

Posted

September 18, 2026


Total Compensation
€215,000
Yearly Savings (Comfortable)
€107,000
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Job Description

  • At Elastic, we’re revolutionizing the search and data analytics space. We’re pioneers in the integration of Gen AI, powerful retrieval models like ELSER, and cutting-edge semantic search technologies like vector search, empowering businesses to unlock unprecedented insights and experiences
  • As a Search Solutions Architect, you’ll be at the forefront of this transformative journey. You’ll play a pivotal role in designing and deploying innovative solutions that leverage the combined power of these technologies, helping organizations unlock the full potential of their data. Your work will directly influence the success of organizations worldwide, helping them unlock new opportunities and make insightful decisions
  • Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic’s latest advancements in AI, semantic search, and vector search, including RAG, vector databases, and other emerging technologies
  • Harness the power of ELSER: Enable organizations to achieve unparalleled accuracy and efficiency in their search queries and data retrieval processes, leveraging the capabilities of the Elastic Learned Sparse Encoder
  • Unlock the potential of vector search: Implement powerful vector search algorithms and create high-dimensional vector representations of data, allowing users to find the information they need even with imprecise queries
  • Deliver compelling proof-of-concept (POC) projects: Showcase the combined value of AI, semantic search, vector search, and ELSER through successful POCs, demonstrating the potential for improved search relevance, user experience, and decision-making
  • Become a thought leader and evangelize our vision: Share your expertise through presentations, blog posts, and other channels, positioning Elastic as the leader in AI-powered search and semantic data exploration
  • Cultivate a collaborative environment within the Solutions Architecture team and across departments, promoting knowledge sharing and driving continuous improvement
  • Collaborate with a diverse team of engineers, data scientists, and industry experts who are passionate about pushing the boundaries of search and AI-powered solutions
  • Continuously learn and explore the ever-evolving landscapes of AI, semantic search, vector search, and related technologies, ensuring your solutions are always at the forefront of innovation. We provide access to world-class training programs and cutting-edge technology

Benefits

  • Toast to your health: Fully paid health coverage for you and your family, in many locations.
  • Craft your calendar: Flexible location and schedule for most roles.
  • Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
  • Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
  • Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
  • Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).- Collaborative spirit and a passion for sharing knowledge and expertise
  • Deep understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP
  • 10+ years of experience in designing and architecting enterprise-level search solutions
  • Excellent communication and presentation skills, able to engage both technical and non-technical audiences. We think of it like this, “You may be speaking to a developer in the morning, an architect in the afternoon and an executive buyer in the evening.”
  • Unwavering commitment to continuous learning and staying ahead of the curve in technology and emerging trends
  • Fluency in Spanish would be an advantage
  • Familiarity with emerging ecosystem technologies and how they interoperate like Hugging Face, Langchain, etc
  • Solid knowledge of ELSER’s architecture and other models within the Hugging Face ecosystem
  • Experience with vector databases and other emerging data storage solutions
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