Full-Time

Search AI Solutions Architect

Confirmed live in the last 24 hours

Elastic

Elastic

1,001-5,000 employees

Search and analyze data in real-time

Compensation Overview

$129k - $204kAnnually

Expert

United States

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 large enterprises, small businesses, and government agencies across various industries such as technology, healthcare, finance, and retail. Unlike many competitors, Elastic offers both hosted and on-premises deployment options, along with orchestration subscriptions for centralized management. The company operates on a subscription-based business model, charging fees based on data processed, user numbers, and support levels, which provides a steady revenue stream. The goal of Elastic is to empower organizations to effectively manage and derive insights from their data.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Mountain View, California

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • Elastic's AWS Government ISV Partner Competency opens new public sector opportunities.
  • AI-driven import features streamline data integration, attracting more clients.
  • Collaboration with Microsoft enhances semantic search capabilities, appealing to enterprises.

What critics are saying

  • Increased competition from AI-optimized search solutions threatens market share.
  • Reliance on cloud providers poses risks if terms change unfavorably.
  • Regulatory challenges may arise from expanding public sector solutions.

What makes Elastic unique

  • Elastic offers a comprehensive suite of search-powered solutions for diverse industries.
  • Elastic's AI-optimized architecture enhances data search and analysis capabilities.
  • Elastic's subscription model provides steady revenue from diverse deployment options.

Help us improve and share your feedback! Did you find this helpful?

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

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

5%

2 year growth

0%
HR Tech Wire
Feb 28th, 2025
Elastic Names Navam Welihinda Chief Financial Officer

Elastic(R) (NYSE: ESTC) ("Elastic"), the company behind Elasticsearch[(R) ,] today announced the appointment of Navam Welihinda as chief financial officer, effective February 28, 2025.

Elastic
Feb 21st, 2025
Elastic achieves AWS Government ISV Partner Competency, strengthening public sector solutions portfolio

Elastic NV is thrilled to share that Elastic has achieved the AWS Government ISV Partner Competency.

Elastic
Feb 13th, 2025
Introducing the new Dev Tools Console in Kibana

In Kibana 8.16, Elastic NV is excited to unveil a major upgrade to the Console, bringing you a more modern and user-friendly experience.

Wall Street Waves
Jan 16th, 2025
Is Now the Time to Invest in Elastic? Analyzing a 21% Surge Over 3 Months

To further ease the transition, Elastic has launched an Express migration program alongside AI-driven automatic import features, making it easier for businesses to integrate their critical data.

Elastic
Nov 20th, 2024
Announcing the Microsoft Semantic Kernel Elasticsearch connector

In collaboration with the Microsoft Semantic Kernel team, Elastic Cloud Enterprise is announcing the availability of Semantic Kernel Elasticsearch Vector Store connector for Microsoft Semantic Kernel (.