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Текст:
TL;DR
Staff Partner Engineer (AI): Leading the technical relationship between Databricks and strategic AI partners to drive joint innovation and platform integrations with an accent on joint product roadmaps and reference architectures. Focus on building POCs, debugging complex integrations, and aligning AI architectures for enterprise customers.
Location: New York City, NY or San Francisco, CA
Salary: $150,200 — $206,450 USD
Company
Databricks is the Data and AI company providing a unified platform for building and scaling data and AI applications for over 20,000 organizations worldwide.
What you will do
- Serve as the primary technical point of contact for strategic AI labs to drive joint innovation.
- Collaborate with technical executives to shape joint product roadmaps and translate partner capabilities into platform requirements.
- Design and build integrations that connect and extend Databricks and partner platforms.
- Develop POCs and reference architectures for engineering teams to productize or customers to deploy.
- Align strategic customers' AI architecture needs with joint product roadmaps.
- Create technical field enablement content to articulate 'better together' value propositions.
Requirements
- 10+ years in field engineering, consulting, platform architecture, or AI systems development.
- Deep expertise in production AI systems: model serving, inference, retrieval, and agent frameworks.
- Hands-on engineering skills with Python, REST APIs, and SDKs.
- Proven experience in strategic technical partnerships and navigating multi-company engineering initiatives.
- Strong communication skills to influence and present to engineering teams and executives.
- Availability to travel globally to partner sites, conferences, and events as required.
Nice to have
- Experience as a Partner Solutions Architect or Alliance Engineer at AI companies or cloud providers.
- Experience scaling AI systems in production, including evaluation, cost tuning, and governance.
- Background working with frontier labs or AI-native cloud providers.
- Track record of creating developer-facing technical content like deployment guides and blog posts.
- Familiarity with AI-assisted development tools such as Cursor, Claude Code, and Codex.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee's region.
- Opportunity to work directly with frontier AI labs including Anthropic, OpenAI, and Google Gemini.
- Direct visibility and engagement with company founders and executives.
- Inclusive culture committed to diversity and equal employment opportunity.
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