Elastic · 3 days ago

GenAI Search Principal Solutions Architect

United States

Full-time

Remote

Senior Level, Lead/Staff

$129K/yr - $204K/yr

10+ years exp

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Comp. & Benefits

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Search Solutions ArchitectureAI technologiesSemantic searchVector searchNLPELSER architectureVector databasesHugging FaceLangchainCollaborative spirit

Required

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.