仕事内容
<p><strong>Engineering Manager, Foundation Model Inference (FMAPI)</strong></p>
<p>RDQ427R519</p>
<p>At Databricks, we are driven by a passion to empower data teams in tackling the world's most challenging problems — from revolutionizing transportation to accelerating medical innovations. Our mission is to build and operate the premier data and AI infrastructure platform, enabling our customers to leverage deep data insights for transformative business improvements. If you are passionate about advancing data and AI technologies and are eager to lead a cutting-edge product to success, we invite you to join our dynamic team at Databricks.</p>
<p>The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our <a href="https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/">Foundation Model APIs </a>provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads.</p>
<p>Databricks is looking for an Engineering leader to lead part of our Foundation Model Inference organization. We are seeking a leader who can build strong teams, uphold a high technical bar, and drive execution on large multi-quarter initiatives in a fast-moving AI infrastructure environment.</p>
<h2><strong>The impact you will have</strong></h2>
<ul>
<li>Lead and grow a team of talented, product-minded infrastructure Engineers working on Databricks Foundation Model Inference and Foundation Model API; The teams owns the systems powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama).</li>
<li>Help shape the roadmap for products spanning real-time inference, provisioned throughput, and batch inference use cases.</li>