Level

Elastic

Solutions Architect - Search Specialist

Elastic is hiring a Solutions Architect - Search Specialist for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Elastic.

Level's read on this job

  • On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include LangChain, Hugging Face and Elasticsearch.
  • Level classifies it as a mid-level role.
  • Level lists 401 other open roles at Elastic.

AI in this role

Design and deploy generative AI, semantic search, and vector search solutions for enterprise clients as a solutions architect.

langchainhugging-faceelasticsearchelser
ragnlpsolutions-architecturegenerative-aisemantic-searchvector-searchvector-databases

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 employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. 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: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ 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, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). 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 for our Privacy Statement.

How we rate this

Solutions Architect - Search Specialist at Elastic rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGNLPSolutions ArchitectureGenerative AISemantic SearchVector SearchVector databasesLangChain

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?
  3. Tell me about a project where solutions architecture was part of your work. What did you do?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Tell me about a project where semantic search was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, NLP, Solutions Architecture, Generative AI, and Semantic Search. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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