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Currently tracking 16 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $192k–$593k (avg $307k).

Hiring
16 / 46
Momentum (4w)
↑+57 +55%
160 opens last 4w · 103 prior 4w
Salary range · avg $307k
$192k–$593k
USD · disclosed roles only
Tracked since
Jan 19
last role 5d ago
Hiring velocityscroll left for older weeks
1 new role
Jun 3
3 new roles
Mar 31
1 new role
May 19
1 new role
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1 new role
Oct 20
1 new role
27
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Nov 10
1 new role
17
3 new roles
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1 new role
8
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1 new role
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3 new roles
Jan 5
1 new role
12
2 new roles
19
5 new roles
26
2 new roles
Feb 2
5 new roles
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16
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Mar 2
10 new roles
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Apr 6
22 new roles
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8 new roles
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Jun 1
50 new roles
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Aug 3
Elastic

Elastic

Enterprise · Search

HQ
Mountain View, US
Founded
2012
Website
elastic.co

Elastic has 28 active AI-related job listings, with a significant focus on roles related to agents, which constitute 86% of their openings. The majority of these positions are within Engineering. The company is hiring across the United States, United Kingdom, and Canada. Recurring technical tags include vector_db, RAG, and model_serving, suggesting a focus on building and deploying AI applications that leverage external knowledge.

Auto-generated from active job postings · last refreshed 2026-08-02

Frequently asked questions

  • What AI roles is Elastic hiring for?

    Elastic currently has 30 active AI-related roles in our index. The most common open titles are: Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch (6), Principal Software Engineer - Vector Search - Elasticsearch (5), Senior Software Engineer - SSC (4), Principal AI Ecosystem Architect - OpenAI/Anthropic (2), Principal Product Manager Agents and Context - Elasticsearch (2). Most positions are in Engineering and Research.

  • What stage of AI development does Elastic focus on?

    Elastic's active AI hiring is concentrated in: agents (87%), application (10%), serving infrastructure (3%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Elastic hiring AI talent?

    Elastic is hiring AI talent in: United States (16 roles), United Kingdom (7 roles), Spain (4 roles), Canada (3 roles).

  • What skills does Elastic look for in AI roles?

    Job postings at Elastic most frequently mention: Observability, Data Governance, Content Generation, Cloud Security, Cloud Infrastructure.

  • How many AI roles has Elastic posted recently?

    In the past 30 days, Elastic has posted 23 new AI-related roles. That is a +44% change versus the prior 30 days (16 → 23).

Jobs (12)

15 AI · 221 total active
FilteredFunctionEngineering×CountryCanada×Clear all
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Active onlyAI only (≥ 7)
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Principal Security ML Research Engineer
Principal Security ML Research Engineer at Elastic, focusing on developing advanced AI/ML solutions for threat detection and response. The role involves designing ML architectures, prototyping AI agent workflows, developing anomaly detection models, creating evaluation frameworks, implementing guardrails, and integrating LLM APIs into production. Emphasis on research, community involvement, and mentoring.
AgentEval GateEngineeringCanada +12w ago9
Principal Search Consulting Architect
This Principal Search Consulting Architect role focuses on designing and scaling complex Elasticsearch cluster topologies for large enterprise customers, with a strong emphasis on AI-powered semantic search, vector databases, and RAG pipelines. The role involves deep technical expertise in Elasticsearch internals, performance tuning, and cloud-native infrastructure, bridging business strategy with distributed systems engineering.
AgentServe
Engineering
Canada
Jun 8
7
Principal Search Consulting Architect
Principal Search Architect role focused on designing and scaling complex Elasticsearch clusters for enterprise customers, with a strong emphasis on AI-powered semantic search, vector databases, and RAG pipelines. The role involves deep technical expertise in Elasticsearch internals, distributed systems, and cloud-native infrastructure, collaborating with engineering and product teams to influence the roadmap.
AgentServeEngineeringCanadaJun 87
Principal Software Engineer - Security - Elasticsearch
Principal Software Engineer for Elasticsearch Security, focusing on architecture and design of authentication, authorization, and tenant isolation. The role involves leading core security initiatives, developing foundational security models, optimizing performance, applying cryptographic solutions, ensuring data isolation, and staying updated on security advancements. It also includes driving vulnerability management, leveraging AI-driven tools for security workflows, and mentoring engineers. Requires deep Java/JVM knowledge, experience with scalable authorization systems, distributed systems security, and edge identity protocols. Experience with AI for development acceleration is a plus.
—EngineeringCanada2w ago5
Principal Software Developer - Security - Elasticsearch
Principal Software Developer for Elasticsearch Security team, focusing on architecture and design of core security features like authentication, authorization, and tenant isolation. The role involves leading technical design, developing foundational security models, optimizing performance, applying cryptographic solutions, ensuring data isolation, and collaborating across teams. It also emphasizes leveraging AI-driven tools for security workflows and mentoring engineers.
—EngineeringCanada2w ago5
Senior Software Developer - Security - Elasticsearch
Senior Software Developer for Elasticsearch Security team, focusing on architecture, design, and implementation of security features like authentication, authorization, and tenant isolation. The role involves optimizing security performance in distributed systems, applying cryptographic solutions, and ensuring data isolation. A key aspect is leveraging AI-driven tools to enhance security workflows, vulnerability management, and development processes.
—EngineeringCanada2w ago5
Senior Software Engineer - Security - Elasticsearch
Senior Software Engineer for Elasticsearch Security team, focusing on architecture and design of core security features like authentication, authorization, and tenant isolation. The role involves developing foundational security models, optimizing performance in distributed systems, applying cryptographic solutions, ensuring data isolation, and staying updated on security best practices. It also includes driving vulnerability management and leveraging AI-driven tools for security workflows.
—EngineeringCanada2w ago5
Tech Lead, Agent Framework - Observability
Tech Lead for Elastic's Agent Framework team, responsible for the architecture and technical direction of the agent layer within the Streams program. The role involves designing scalable systems for observability data collection, providing technical guidance, and leading multi-team initiatives. Experience with distributed systems, observability data, and Go is required.
—EngineeringCanada3w ago5
Tech Lead, Agent Framework - Observability
Tech Lead for Elastic's Agent Framework team, responsible for the architecture and technical direction of the agent layer within the Streams program. The role involves designing scalable systems for data collection (metrics, logs, traces) and providing technical guidance to the team, with a focus on Go development and distributed systems management.
—EngineeringCanada3w ago5
Tech Lead, Agent Framework - Observability
Tech Lead for Elastic's Agent Framework team, responsible for the architecture and technical direction of the agent layer supporting the Streams model. Focuses on designing scalable systems, providing technical guidance, and collaborating with stakeholders and product management. Requires proven experience as a technical lead on agent/daemon projects at scale and deep knowledge of observability data collection.
—EngineeringCanada3w ago1
Principal software developer/Tech Lead, Agent Framework - Observability
Principal Software Developer/Tech Lead for Elastic's Agent Framework team, focusing on the architecture, technical direction, and evolution of the agent layer for data collection in observability and search AI platforms. The role involves designing scalable systems, providing technical guidance, collaborating with product management, and leading large technical initiatives.
—EngineeringCanada5d ago0
Tech Lead, Agent Framework - Observability
Tech lead for Elastic's Agent Framework team, focusing on the architecture and technical direction of the agent layer for data collection in the Streams program. The role involves designing scalable architectures, providing technical guidance, collaborating with product management, and leading technical initiatives from design to shipped software. Experience with observability data (metrics, logs, traces) and Go programming is required.
—EngineeringCanada3w ago0