--- title: 'Solutions Architect - Search Specialist at Referral Board' canonical: 'https://feeny.ai/job/solutions-architect-search-specialist-referral-board-united-kingdom-w72b5ngysk17' type: 'job' last_seen: '2026-09-08' --- # Solutions Architect - Search Specialist at Referral Board - **Company:** Referral Board - **Location:** United Kingdom - **Posted:** 2026-09-07 - **Last confirmed live:** 2026-09-08 - **Apply:** https://job-boards.greenhouse.io/referralsuseonly/jobs/8184917 ## Job description Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role 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. Are you ready to join the Elastic Revolution and be a pioneer in the next generation of Search powered AI? Apply now and embark on this exciting journey with us! We're eager to welcome you to a team that's shaping the future and helping organizations unlock the full potential of their data. ## What You Will Be Doing - 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. ## What You Bring - 10+ years of experience in designing and architecting enterprise-level search solutions. - Deep understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP. - 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. - 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.” - Collaborative spirit and a passion for sharing knowledge and expertise. - Unwavering commitment to continuous learning and staying ahead of the curve in technology and emerging trends. - Fluency in Spanish would be an advantage. ## #LI-PF1 Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. - Competitive pay based on the work you do here and not your previous salary - Health coverage for you and your family in many locations - Ability to craft your calendar with flexible locations and schedules for many roles - Generous number of vacation days each year - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service - Up to 40 hours each year to use toward volunteer projects you love - Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf Poster; [Pay Transparency Nondiscrimination Provision](https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) Poster; https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppabw.pdf Poster and [Know Your Rights](https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088_EEOC_KnowYourRights.pdf) (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see [here](https://www.elastic.co/legal/applicant-privacy-statement) for our Privacy Statement. ## About Referral Board ## Company Overview - **One-liner**: Elastic builds the Elasticsearch platform for real-time search, observability, and generative AI, helping organizations turn data into actionable results. - **Entity Type**: Public (NYSE: ESTC) - **Headquarters**: Mountain View, California, United States - **Founded**: 2012 - **Founders**: Shay Banon (creator of Elasticsearch), Steven Schuurman, Uri Boness, Simon Willnauer (co-founders of Elastic) ## Core Business - **Primary industry/industries**: Enterprise software, search technology, observability, security, generative AI infrastructure - **Target customers**: B2B – enterprises, SMBs, developers, and IT teams across all industries - **Mission or purpose statement**: “We help you turn endless data possibilities into real results with the power of Search AI.” [elastic.co](https://www.elastic.co/about) ## Products & Services - **Elasticsearch**: Distributed, RESTful search and analytics engine (open source / SaaS) - **Kibana**: Data visualization dashboard for Elasticsearch - **Elastic Observability**: Unified monitoring for logs, metrics, and traces - **Elastic Security**: SIEM, endpoint security, and threat detection - **Elastic Generative AI (Search AI)**: AI-powered search and retrieval-augmented generation (RAG) capabilities ## Market Standing - **Valuation/Market Cap**: Not disclosed in provided sources (public company; latest financials available via SEC filings) - **Key Metric**: Annual Revenue – Not available in provided search results - **Notable Investors/Partners**: Not disclosed in provided sources - **Growth Signals**: Global workforce spanning more than 40 countries and 100 nationalities; strong emphasis on distributed-first culture and continuous expansion of Search AI capabilities [elastic.co](https://www.elastic.co/careers) ## Competitive Advantages - **Open-source foundation** with a vibrant community and extensive plugin ecosystem - **Unified platform** for search, observability, security, and generative AI on a single stack - **Distributed-by-design architecture** that scales horizontally for petabyte-scale data - **Strong brand recognition** as the de facto standard for enterprise search and log analytics ## Strategic Focus - **Search AI**: Integrating generative AI and large language models directly into search workflows - **Observability & Security**: Deepening capabilities in application performance monitoring and threat detection - **Cloud growth**: Expanding Elastic Cloud offerings and multi-cloud support - **Developer experience**: Improving APIs, SDKs, and tooling for developers ## Why Work Here - **Distributed-by-design culture** – remote, hybrid, and in-person roles available; employees come from over 40 countries [elastic.co](https://www.elastic.co/careers) - **Global inclusion** – “We don’t do molds. Come as you are.” Emphasis on diversity and belonging [elastic.co](https://www.elastic.co/careers) - **Competitive benefits** – health coverage, parental leave, retirement benefits, and support for life’s important moments [elastic.co](https://www.elastic.co/careers) - **Transparent hiring process** – clear stages including application, technical assessment, department interviews, and decision [elastic.co](https://www.elastic.co/careers/how-we-hire) - **Referral program** – employees can refer former coworkers or friends for open roles [elastic.co](https://www.elastic.co/careers/how-we-hire) ## Sources 1. [Elastic About Page](https://www.elastic.co/about) 2. [Elastic Careers Page](https://www.elastic.co/careers) 3. [Elastic How We Hire](https://www.elastic.co/careers/how-we-hire) 4. [Greenhouse Referral Board (Elastic)](https://boards.greenhouse.io/referralsuseonly) 5. 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