elastic
Principal AI Ecosystem Architect - OpenAI/Anthropic
At a Glance
- Location
- Washington, United States
- Experience
- 7+ years
- Posted
- 2026-07-14T18:52:45-04:00
Key Requirements
Domain Knowledge
- Education
- Engineering
- Finance
- Medical
Benefits & Perks
our previous salary Health coverage for you and your family in many locatio
Requirements
7+ years in technical presales, partner engineering, solutions architecture, product management.
Proven experience owning technical relationships with strategic AI or platform partners — serving as the named technical point of contact.
Hands-on experience building prototypes and integration demos — to validate ideas alongside partner and Product teams before they become roadmap commitments.
A track record of influencing product roadmaps and partner priorities.
Direct experience working with OpenAI and/or Anthropic in a technical capacity, including familiarity with their partner programs and how both ecosystems make integration decisions.
Technical depth in at least one of Elastic's core solution areas: context engineering for AI agents, AI-powered security operations, or AI-powered observability.
Responsibilities
Elastic is expanding the Ecosystem Architects team focused on the most consequential AI providers in the AI Ecosystem — OpenAI and Anthropic.
We are looking for a builder, an architect who will own the technical strategy and relationships with both.
In this hands-on individual contributor role you'd be driving the co-build strategy through deeper integrations with both ecosystems, influencing Elastic Product strategy, building the prototypes, and shaping the GTM content that would help customers bring frontier intelligence to unstructured data.
As the AI Ecosystem Architect you will build, manage and own the technical relationships end-to-end — bringing both technical depth and the credibility that comes from having built things yourself.
"The deep integrations with OpenAI and Anthropic are at the center of how Elastic thinks Frontier AI will shape enterprises when brought to unstructured enterprise data.
Elasticsearch is purpose-built to solve the retrieval problem for AI agents, and the person in this role will influence the most consequential decisions in how Elastic technology integrates with these ecosystems."