The opportunity
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…
What you'll do
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.
What they're looking for
- 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.
- + 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.
