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.

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 Responsibilities:

• 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.
• Foster collaboration and knowledge sharing: Cultivate a collaborative environment within the Solutions Architecture team and across departments, promoting knowledge sharing and driving continuous improvement.
• Stay ahead of the curve: 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.

To Succeed in This Role, You'll Need:

• 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... For full info follow application link.

Different people approach problems differently. We need that. Elastic is committed to diversity as well as inclusion. We are an equal opportunity employer and committed to the principles of affirmative action. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. If you require any reasonable accessibility support, please complete our Candidate Accessibility Request Form.