Elastic
Enterprise · Search
- HQ
- Mountain View, US
- Founded
- 2012
- Website
- elastic.co
Enterprise · Search
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.
Currently tracking 16 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $192k–$593k (avg $307k).
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 Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to build and evaluate Elastic's conversational and agentic platform, focusing on RAG, agents, tools, and quality metrics. The role involves defining evaluation strategies, leading quality metric design, building retrieval approaches, influencing product decisions, and partnering with engineering for productionization. | AgentEval Gate | 9 |
| Principal Data Scientist - Agent Builder Principal Data Scientist to lead the technical direction for evaluating, improving, and scaling chat quality within Elastic's conversational and agentic platform. This role involves defining evaluation strategies, designing quality metrics for RAG, agents, and tools, and partnering with engineering to productionize evaluation pipelines and guardrails. The focus is on applied leadership to prototype, evaluate, and influence roadmap for AI-driven product improvements. | AgentEval Gate | 9 |
| Lead GenAI Cloud Developer Lead GenAI Cloud Developer responsible for evolving ElasticGPT from a conversational assistant to a proactive, task-oriented agentic ecosystem. This role involves designing and building agentic workflows, production RAG systems, deploying scalable APIs, and managing multi-model orchestration with a focus on scale, cost, latency, and enterprise governance. | AgentServe | 9 |
| Elastic AI Engineer Elastic is seeking an AI Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integration. The role involves designing agentic workflows, integrating LLMs with APIs and tools, managing the agent lifecycle, and ensuring scalability and security. | Agent | 9 |
| Elastic AI Engineer Elastic is seeking an AI Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integrations. The role involves designing agentic workflows, integrating LLMs with APIs and tools, managing the agent lifecycle, and ensuring scalability and security. | 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 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining how enterprises build, manage, and scale context for AI agents. This role involves understanding customer requirements, building a roadmap for context engineering capabilities, and working with data science and engineering on benchmarking and evaluations. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining strategy and roadmap for context engineering capabilities for AI agents. The role involves understanding customer requirements, market trends, and working with data science and engineering teams to develop strategies for agent benchmarking and evaluation, as well as user experience design. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic's Agent Builder, focusing on defining the vision, strategy, and execution for how enterprises build, manage, and scale context for AI agents. This role involves understanding customer requirements, building roadmaps for context engineering capabilities, and working with data science and engineering on benchmarking and evaluations. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining how enterprises build, manage, and scale context for AI agents. This role involves understanding customer requirements, building roadmaps for context engineering capabilities, and working with data science and engineering on agent benchmarking and evaluations. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining strategy and execution for context engineering capabilities for AI agents. The role involves understanding enterprise customer needs, market trends, and working with data science and engineering teams to build and evangelize agent capabilities. | Agent | 8 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining how enterprises build, manage, and scale context for AI agents. This role involves understanding customer requirements, building a roadmap for context engineering capabilities, analyzing the AI Agent market, and working with data science, engineering, and design teams. The goal is to make AI agents faster, lower cost, and more accurate by enhancing their context layer. | Agent | 8 |
| Lead GenAI Cloud Developer Lead GenAI Cloud Developer responsible for evolving ElasticGPT from a conversational assistant to a proactive, task-oriented agentic ecosystem. This involves designing and building agentic workflows, production RAG systems, deploying scalable APIs, and implementing optimization and observability pipelines for enterprise-wide productivity. | AgentServe | 8 |
| Sr. AI Engineer, Application Engineering This role focuses on the end-to-end technical delivery and development of AI solutions, specifically AI agentic deployments and LLM-based intelligent agents using the Elastic Agent Builder platform. It involves designing, implementing, and orchestrating these systems, with a strong emphasis on custom agent engineering and data integration within enterprise environments. | Agent | 8 |
| AI Security - Principal Security Research Engineer I Principal Security Research Engineer focused on AI security within Elastic Security. The role involves enhancing detection capabilities, developing new AI workflows for threat research and detection engineering, investigating threat vectors, and leveraging AI/ML frameworks and LLM APIs in production applications. Experience with Generative AI Security, MITRE ATLAS/ATT&CK, and Elastic Security is required. | Agent | 7 |
| Principal Product Manager Agents and Context - Elasticsearch Principal Product Manager for Elastic's Agent Builder, focusing on context engineering for AI agents. The role involves defining strategy, roadmap, and execution for capabilities that make AI agents faster, cheaper, and more accurate. It requires deep understanding of the AI/ML landscape, including LLMs, RAG, and vector databases, and involves working closely with customers, sales, engineering, and data science teams. | Agent | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on designing and implementing new features, improving existing ones, and resolving bugs. The role involves leading initiatives for an industry-leading vector database offering, contributing to core Elasticsearch development, and acting as an expert in vector similarity implementation. | AgentServe | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. | AgentServe | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on building new features, improving existing ones, and resolving bugs for an industry-leading vector database offering. The role involves deep technical contributions to Lucene and Elasticsearch, potentially inventing new algorithms or data structures, and collaborating with a global team and the open-source community. | AgentServe | 7 |
| Principal Product Manager, AI agents - Search Principal Product Manager for Elastic Agent Builder, focusing on defining strategy and execution for context engineering capabilities for AI agents. This role involves understanding customer requirements, market trends, and working with data science and engineering teams to build and evangelize agent context solutions. | Agent | 7 |
| 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 |
| 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 Software Engineer - Vector Search - Elasticsearch Principal Software Engineer role focused on enhancing vector similarity search functionality within Elasticsearch, aiming to create an industry-leading vector database offering. This involves designing and implementing new features, improving existing ones, and resolving bugs, with a strong emphasis on performance and relevance. | AgentServe | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. | AgentServe | 7 |
| Principal Software Engineer - Agent Builder - Search Principal Software Engineer to own the backend architecture for Elastic's Agent Builder conversational platform, focusing on streaming APIs, secure tool execution, session persistence, and evaluation telemetry. The role involves leading design, building event-driven pipelines, championing reliability, and mentoring engineers, with exposure to LLM tooling and open-source AI communities. | Agent | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer focused on enhancing vector similarity search functionality within Elasticsearch, contributing to a leading vector database offering. | AgentServe | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer role focused on enhancing vector similarity search functionality within Elasticsearch, contributing to a leading vector database offering. This involves designing and implementing new features, improving existing ones, and potentially inventing new algorithms or data structures. The role requires deep expertise in Java and vector similarity techniques. | AgentServe | 7 |
| Senior Software Engineer - Search Relevance - Elasticsearch Senior Software Engineer focused on enhancing vector and keyword search functionality within Elasticsearch, including designing and implementing new search features, improving existing functionality, and resolving bugs. The role involves contributing to search relevance, working with vector databases and algorithms like HNSW/IVF at scale, and writing modern Java. | AgentServe | 7 |
| Sr. Director, IT - AI Innovation and Services This role leads the enterprise-wide AI strategy and technology deployment, focusing on designing and scaling AI-driven solutions to improve business processes, increase productivity, and reduce operational overhead. The candidate will conduct business process analyses, prioritize AI integration opportunities, and manage a cross-functional team. | Agent | 7 |
| Principal Product Manager AI-driven, Observability Principal Product Manager for AI within the Observability team, driving the vision and execution of AI-powered features. The role focuses on Agentic AI, Machine Learning, LLMs, and semantic context to transform the observability lifecycle, including data onboarding, enrichment, root cause analysis, impact assessment, and automated remediation. Responsibilities include defining AI strategy, owning the roadmap for embedding AI/ML into workflows, partnering with engineering and UX, collaborating with sales/marketing, engaging with customers, and tracking industry trends. | Agent | 7 |
| Principal Product Manager Agents and Context - Elasticsearch Principal Product Manager for Elastic Agent Builder, focusing on defining the vision, strategy, and execution for context engineering capabilities that enable enterprises to build, manage, and scale AI agents. The role involves understanding customer requirements, market trends, and working with data science and engineering teams to benchmark and evaluate agent capabilities, with a strong emphasis on RAG architectures and vector databases. | Agent | 7 |
| Principal Software Engineer - Vector Search - Elasticsearch Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. The role involves contributing to core Elasticsearch features, potentially inventing new algorithms or data structures, and working with a globally distributed team. | AgentServe | 7 |