Full-Time

GenAI Search Senior Solutions Architect

Confirmed live in the last 24 hours

Elastic

Elastic

1,001-5,000 employees

Search and data analysis solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$129k - $204kAnnually

+ Target Variable Compensation

Senior, Expert

Washington, USA

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Natural Language Processing (NLP)
LangChain
Requirements
  • 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.
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.

Elastic specializes in search-powered solutions, providing a suite of products that enable businesses to search, analyze, and visualize data in real-time. Its main product, Elasticsearch, is a search engine that can be deployed either in the cloud or on-premises, helping organizations manage large volumes of data for better decision-making and operational efficiency. Elastic serves a wide range of clients, including enterprises, small businesses, and government agencies across various industries such as technology, healthcare, finance, and retail. Unlike many competitors, Elastic offers flexible deployment options and a subscription-based business model, allowing clients to choose between hosted services or self-managed solutions. The company's goal is to empower organizations to effectively utilize their data through powerful search and analytics tools.

Company Stage

IPO

Total Funding

$157.6M

Headquarters

Mountain View, California

Founded

2012

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

2%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Elastic's collaboration with Microsoft enhances semantic search capabilities, attracting enterprise clients.
  • Partnership with vTech Solution expands market reach in government and commercial sectors.
  • Integration with Google Vertex AI boosts AI adoption, enhancing competitive edge in analytics.

What critics are saying

  • CVE-2024-37287 vulnerability in Kibana highlights potential security risks in open-source tools.
  • Government contracts with vTech Solution may pose compliance and regulatory challenges.
  • Dependency on third-party AI models could affect service reliability if issues arise.

What makes Elastic unique

  • Elastic offers a powerful open-source Elastic Stack for data search and analysis.
  • Elastic's AI-optimized architecture supports low-latency and native vector database capabilities.
  • Elastic's diverse client base includes major enterprises like Cisco, eBay, and NASA.

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Benefits

Fully paid health coverage for you and your family

Flexible location and schedule for most roles.

Generous number of vacation days each year

20+ additional shut it down days

Minimum of 16 weeks of parental leave, plus generous family formation benefits.

40 hours each year to use toward volunteering

Double your charitable giving