GenAI Search Senior Solutions Architect @ Elastic | Jobright.ai
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Elastic · 3 days ago

GenAI Search Senior Solutions Architect

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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 searchRAGNLPELSERVector databasesHugging FaceLangchain

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.
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.

Benefits

Health coverage for you and your family in many locations
Generous number of vacation days each year
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
Competitive pay based on the work you do here and not your previous salary

Company

Elastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases.

Funding

Current Stage
Public Company
Total Funding
$162M
Key Investors
New Enterprise AssociatesIndex VenturesBenchmark
2018-10-04IPO
2018-05-03Secondary Market
2016-07-01Series D· $58M

Leadership Team

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Ashutosh Kulkarni
CEO
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Shay Banon
CTO and Co-Founder
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Company data provided by crunchbase
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