AI Infra Architect for AWS Cloud & GenAI

The Briefed

United States

Remote

USD 180,000 - 248,000

Full time

2 days ago
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Benefits offered by this job

Equity grants
401(k) plan options
Comprehensive healthcare

Job summary

Databricks is hiring an Infrastructure & AI Platform Specialist Solutions Architect (SSA) focusing on AWS. You will advise enterprise customers on architecture, cloud infrastructure, and AI deployment patterns for the Databricks platform on AWS.

The role blends deep technical work with strategic pre-sales execution, including model serving, vector databases, and cost/performance optimization. You will lead cross-functional teams, drive technical wins in competitive cycles, and work with Python,

Qualifications

  • Strong live coding, debugging, and solution-building skills in Python and SQL.
  • Experience in cloud infrastructure for AI/ML workloads.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent.
  • Willingness to travel up to 30% for customer work.

Responsibilities

  • Guide strategic customers through the full lifecycle of Databricks on AWS.
  • Architect compute/networking infrastructure for AI/ML workloads and GenAI apps.
  • Design secure AWS deployment patterns and identity controls.
  • Automate Databricks environments using IaC tools such as Terraform, CloudFormation, or CDK.
  • Drive technical wins in competitive sales cycles and provide product feedback.

Skills

Python
SQL

Education

Bachelor’s or Master’s in Computer Science/Engineering

Tools

Terraform
AWS CloudFormation
AWS CDK

Job description

Databricks is hiring an Infrastructure & AI Platform Specialist Solutions Architect (SSA) focusing on AWS. You will advise enterprise customers on architecture, cloud infrastructure, and AI deployment patterns for the Databricks platform on AWS.

The role blends deep technical work with strategic pre-sales execution, including model serving, vector databases, and cost/performance optimization. You will lead cross-functional teams, drive technical wins in competitive cycles, and work with Python,

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