Full-Time

Senior Solutions Architect

Search

Posted on 9/3/2024

Elastic

Elastic

1,001-5,000 employees

Search and analyze data in real-time

Data & Analytics
Enterprise Software

Compensation Overview

$129k - $175kAnnually

Senior

California, 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. 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.
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 large 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 managing the software in their own environment. 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

0%

1 year growth

2%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Microsoft enhances AI capabilities and attracts enterprise clients.
  • Partnership with vTech Solution expands market reach in the public sector.
  • Launch of Search AI Lake strengthens Elastic's position in AI and machine learning.

What critics are saying

  • Recent Kibana vulnerability highlights potential security risks in Elastic's tools.
  • Dependency on third-party integrations poses risks if partnerships face disruptions.
  • Expansion into AI may face challenges from established competitors in the market.

What makes Elastic unique

  • Elastic offers a comprehensive suite of search-powered solutions for diverse industries.
  • Elastic's AI-optimized architecture supports low-latency and native vector database capabilities.
  • Elastic's subscription-based model provides steady revenue from diverse deployment options.

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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

INACTIVE