Enterprise · Search
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.
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 +92% change versus the prior 30 days (12 → 23).
| Title | Stage | AI score |
|---|---|---|
| Cloud/GenAI Engineer The Cloud/GenAI Engineer will be responsible for architecting, implementing, and scaling cloud-native infrastructure while driving generative AI capabilities. This role combines advanced DevOps engineering with cutting-edge AI infrastructure management, focusing on building resilient, scalable cloud platforms to support internal systems and GenAI applications. | ServeAgent | 7 |
| Principal Java Engineer II - Machine Learning - Elasticsearch Principal Software Engineer II to join the Elasticsearch - Machine Learning team, focusing on building and maintaining ML platform components and optimizing model performance within the Elastic Search AI Platform. This role involves core Java development for ML support in Elasticsearch and C++ for performance optimizations, integrating advanced analytics and ML into the distributed Elastic platform. |
| Serve |
| 7 |
| Principal Java Engineer II - Machine Learning - Elasticsearch Principal Software Engineer II to join the Elasticsearch - Machine Learning team to build and maintain platform components for machine learning in Elasticsearch. This involves maintaining and extending ML support in Java and working on model performance optimizations in C++. The role focuses on building the infrastructure that integrates advanced analytics and ML components into the distributed Elastic platform. | Serve | 7 |