Currently tracking 16 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $192k–$593k (avg $307k).
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.
Enterprise · Search
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.
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.
Elastic is hiring AI talent in: United States (16 roles), United Kingdom (7 roles), Spain (4 roles), Canada (3 roles).
Job postings at Elastic most frequently mention: Observability, Data Governance, Content Generation, Cloud Security, Cloud Infrastructure.
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).
| Title | Stage | AI 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 Gate | 9 |
| 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 |
| 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. | AgentServe | 7 |
| 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. | — | 5 |
| 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. | — | 5 |
| 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. | — | 5 |
| 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. | — | 5 |
| 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. | — | 5 |
| 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. | — | 5 |
| 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. | — | 1 |
| 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. | — | 0 |
| 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. | — | 0 |