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 |
|---|---|---|
| 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 |
| Agentic AI Engineer Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integration. | Agent |
| 9 |
| Principal AI Ecosystem Architect - OpenAI/Anthropic This role focuses on building technical integrations and driving co-build strategies with major AI providers like OpenAI and Anthropic. The individual will act as a technical liaison, influence product roadmaps, and create reference architectures and prototypes to position Elasticsearch as a retrieval layer for agentic AI systems. The goal is to help customers leverage frontier AI with their unstructured data. | Agent | 8 |
| Principal AI Ecosystem Architect - OpenAI/Anthropic This role focuses on building technical integrations and driving strategy with major AI providers (OpenAI, Anthropic) to position Elastic's search and data platform as a retrieval layer for AI agents. The individual will own technical relationships, build prototypes, influence product roadmaps, and create go-to-market content. | Agent | 8 |
| Sr. Director, Field Technology and AI Sr. Director, Field Technology and AI to lead the GTM Technology organization, focusing on accelerating and applying AI across Elastic's Go-to-Market motion. This role involves owning the strategy, roadmap, and execution for Engineering, Data Science, Customer Data Strategy, and Application Administration teams to drive AI-driven GTM transformation. Responsibilities include setting the AI vision for GTM, leading multi-disciplinary teams, driving AI adoption, measuring impact, and operationalizing applied AI use cases like agentic workflows and seller copilots. | Agent | 7 |
| Principal Threat Hunting and Emulation Engineer - InfoSec This Principal Threat Hunting and Emulation Engineer role at Elastic focuses on proactively defending the company's products and services by leading structured, hypothesis-driven threat hunts and adversary emulation exercises. The role involves partnering with various security teams, leveraging AI/ML for analysis, and translating findings into durable detections and hardened defenses. The engineer will also contribute to the security community through knowledge sharing. | Agent | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer role focused on Relevance in Elasticsearch, involving search engine development, vector search capabilities, and AI integration for accelerating development and optimizing code. The role requires expertise in Java, search algorithms, and experience with AI for development tasks. | AgentServe | 5 |
| Principal Software Engineer - Relevance in ES|QL - Elasticsearch Principal Software Engineer focused on Relevance within Elasticsearch, contributing to search engine capabilities, including vector search, and potentially inventing new algorithms or data structures. The role involves leading initiatives, working with a distributed team, and collaborating on open-source projects. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer focused on search relevance and vector search capabilities within Elasticsearch. The role involves contributing to the core search engine, developing new features, and leveraging AI to enhance development processes. | Agent | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer role focused on search relevance within Elasticsearch, involving contributions to core search engine features, vector search capabilities, and leveraging AI for development acceleration. The role requires expertise in Java, search/vector databases, and autonomous project leadership. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer for Elastic's Search Relevance team, focusing on improving search engine speed and relevance, including vector search capabilities. The role involves leading initiatives, contributing to Elasticsearch core, and working with community members. Requires strong Java skills and experience with search or vector databases. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer role focused on Search Relevance within Elasticsearch, contributing to the core search engine, vector search capabilities, and leveraging AI for development acceleration. The role involves leading initiatives, designing and implementing new search features, and working with a globally distributed team. | AgentServe | 5 |
| Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch Senior Software Engineer focused on Search Relevance within Elasticsearch, contributing to the AI Platform's search capabilities, including vector search, and driving technical direction for search features and enhancements. | AgentServe | 5 |