Full-Time

Principal – GenAI Specialist

Confirmed live in the last 24 hours

Elastic

Elastic

1,001-5,000 employees

Search and data analysis solutions provider

Compensation Overview

$159.8k - $252.8k/yr

+ Stock Program

Senior, Expert

United States

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Machine Learning
Natural Language Processing (NLP)
Connection
Connection
Connection
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Requirements
  • 8+ years of professional services, consulting, or related field.
  • Deep expertise in generative AI technologies, frameworks, and applications, with hands-on experience in implementing Search and AI-driven solutions.
  • Proven ability to define and execute a global strategy for GenAI and Search adoption, ensuring alignment with business objectives and market opportunities.
  • Strong leadership skills with the ability to inspire and guide cross-functional teams, foster collaboration, and drive innovation.
  • Knowledge of AI/ML tools, search engines, natural language processing, and related technologies, combined with experience in creating reusable assets and scalable solutions.
  • Successfully managed complex projects, including defining timelines, allocating resources, and delivering on-time, high-quality results.
  • Excellent ability to communicate technical concepts to non-technical audiences and build trust with both internal teams and external stakeholders.
  • Ability to travel 25% of the time, as required.
Responsibilities
  • Drive scalable, ethical, and impactful GenAI and Search solutions to ensure measurable business outcomes and long-term success while supporting the sale and delivery of our most sophisticated engagements.
  • Act as the primary liaison for all GenAI and Search-related endeavors, ensuring detailed communication and teamwork between collaborators, both internal and external.
  • Monitor and ensure high-quality sales and delivery of all GenAI and Search engagements.
  • Work with Product and Engineering teams to share customer feedback from the field, and drive co-innovation efforts to increase customer value and happiness.
  • Understand the product roadmap to ensure service readiness by anticipating and enabling the vital development and execution ahead of product releases.
  • Ensure excellence by training service team members on the capabilities, limitations, and ethical considerations of GenAI and Search to boost confidence and understanding.
  • Participate in the ARB leadership team to establish and maintain technical guidelines, standard methodologies, and protocols. Contribute to discussions and decision-making within the ARB leadership to craft technical direction.
  • Serve on promotion panels to evaluate candidates for senior-level advancement, ensuring objective and standardized criteria are applied.
  • Craft and develop clear, value-driven GenAI and Search service offerings that meet customer needs and market demand.
  • Identify high-value use cases for GenAI and Search across industries and build frameworks for their successful implementation.
  • Build, automate, and streamline processes for developing and deploying GenAI and Search solutions.
Desired Qualifications
  • Experience in building automation tools or frameworks for GenAI and search solution delivery.
  • Familiarity with developing enablement programs, including training workshops and knowledge-sharing sessions.
  • A track record of public references or case studies showcasing successful GenAI implementations.
  • Certifications in AI/ML technologies, such as TensorFlow, PyTorch, or cloud-based AI solutions.
  • Deep technical expertise and knowledge of Elasticsearch and Elastic Solutions.
  • Knowledge of ethical AI practices and frameworks for responsible implementation.

Elastic provides search-powered solutions that help businesses search, analyze, and visualize data in real-time. Its main product, Elasticsearch, is a search engine that can be deployed in the cloud or on-premises, allowing organizations to manage large volumes of data effectively. Unlike its competitors, Elastic offers flexible deployment options and orchestration subscriptions for centralized management. The company's goal is to empower organizations to make informed decisions and improve operational efficiency through effective data utilization.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Mountain View, California

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • Integration with Red Hat's OpenShift AI enhances Elastic's market reach in AI applications.
  • Dual Google Cloud AI Partner Awards highlight Elastic's leadership in AI and data management.
  • Partnership with Tines enhances Elastic's security offerings with SOAR and AIOps solutions.

What critics are saying

  • Increased competition from open-source alternatives like Apache Solr.
  • Potential over-reliance on partnerships with major cloud providers like Google Cloud and AWS.
  • Rapid AI advancements may require significant investment to keep up with competitors.

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 products are widely adopted by major organizations like NASA and Microsoft.

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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

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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