Principal AI Ecosystem Architect - Openai/anthropic

Elastic Elastic · Enterprise · United States · SA - Partner SA - AMER

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.

What you'd actually do

  1. Driving the co-build strategy with Elastic's Product team — identifying and prioritizing the integrations that deepen both partnerships and ensuring Elastic's retrieval, security, and observability capabilities are integrated in how OpenAI and Anthropic build for the enterprise.
  2. Serving as Elastic's technical voice inside both ecosystems — working closely with partner and product teams at OpenAI and Anthropic so that Elasticsearch's role in agentic workflows is well understood and well represented.
  3. Building reference architectures and working prototypes that demonstrate Elasticsearch as the retrieval layer for agentic AI — giving developers building with OpenAI and Anthropic platforms a clear path to grounded, governed context.
  4. Owning the technical and strategic relationships with partner-facing counterparts at OpenAI and Anthropic.
  5. Co-authoring joint solution briefs, technical guides, and co-branded content that help customers see the joint value clearly.

Skills

Required

  • 7+ years in technical presales, partner engineering, solutions architecture, product management.
  • Proven experience owning technical relationships with strategic AI or platform partners
  • Hands-on experience building prototypes and integration demos
  • A track record of influencing product roadmaps and partner priorities.
  • Strong communication across audiences

Nice to have

  • 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. Fluency across all three is a differentiator.

What the JD emphasized

  • own the technical strategy and relationships
  • hands-on individual contributor role
  • building the prototypes
  • shaping the GTM content
  • build, manage and own the technical relationships end-to-end
  • technical depth and the credibility that comes from having built things yourself
  • deep integrations with OpenAI and Anthropic
  • influence the most consequential decisions
  • technical integration
  • shape product strategy
  • co-create the go-to-market content
  • Driving the co-build strategy
  • identifying and prioritizing the integrations
  • Serving as Elastic's technical voice
  • working closely with partner and product teams
  • Building reference architectures and working prototypes
  • demonstrate Elasticsearch as the retrieval layer for agentic AI
  • clear path to grounded, governed context
  • drive integration patterns and showcases
  • Influencing Elastic's product roadmap
  • technical signal you gather
  • what partner teams are building
  • what customers are asking for
  • where the gaps are
  • Owning the technical and strategic relationships
  • partner-facing counterparts
  • Being Elastic's named point of contact
  • person that partner teams reach for
  • understand how Elastic fits
  • what's possible
  • what's next
  • Building and managing a regular executive-level cadence
  • align on progress, priorities
  • where investment should be focused
  • Keeping Elastic's internal teams connected
  • what's happening inside both partner ecosystems
  • Co-authoring joint solution briefs
  • technical guides
  • co-branded content
  • Representing Elastic at AI-focused partner events
  • meetups
  • developer conferences
  • technical summits
  • community forums
  • bringing the hands-on depth to land with a practitioner audience
  • Working with Elastic marketing teams
  • translate integrations into enablement
  • field can use
  • customers can act on
  • 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
  • validate ideas alongside partner and Product teams
  • before they become roadmap commitments.
  • A track record of influencing product roadmaps and partner priorities.
  • Strong communication across audiences
  • equally effective presenting at a developer conference
  • working through an architecture question with a partner engineer.
  • Direct experience working with OpenAI and/or Anthropic in a technical capacity
  • familiarity with their partner programs
  • how both ecosystems make integration decisions.

Other signals

  • driving co-build strategy
  • technical strategy and relationships with AI providers
  • building reference architectures and prototypes
  • retrieval layer for agentic AI