仕事内容
<p data-path-to-node="12"><span style="margin: 0px; padding: 0px;">FEQ427R143</span></p>
<p data-path-to-node="12"><span style="margin: 0px; padding: 0px;">As an<strong> </strong>Infrastructure & AI Platform Specialist Solutions Architect (SSA), </span>you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, cloud infrastructure, and AI deployment patterns of their Databricks Platform on AWS. <span style="margin: 0px; padding: 0px;">You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy.</span></p>
<p data-path-to-node="12">This role can be remote. <br><br><strong data-renderer-mark="true">The Impact You Will Have</strong></p>
<ul>
<li>Guide strategic customers through the full lifecycle of Databricks on AWS, including platform administration from initial architectural design to production deployment</li>
<li>Architect and scale compute/networking infrastructure designed specifically for AI workloads, enterprise LLM deployments, and high-performance GenAI applications built on Databricks</li>
<li>Serve as a subject matter expert in core areas such as AWS infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management</li>
<li>Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions</li>
<li>Orchestrate cross-functional resources (DSAs, SAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs</li>
<li>Influence product direction by providing structured feedback on customer requirements and competitive gaps</li>
</ul>
<p><strong>What We Look For</strong></p>
<ul>
<li>6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role</li>
<li>Hands-on experience architecting underlying cloud infrastructure for AI/ML execution—including accelerator configuration (GPUs/TPUs), scalable mode
求めるスキル
Python
LLM
AWS
Azure
Rust