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Azure Cloud AI Engineer

Purple Drive


Job Location:

Chicago, IL - USA

Monthly Salary: Not provided by the employer
Posted: 22 October 2026 (13 hours ago)
Application Deadline: 19 January 2027
Vacancies: 1 Vacancy

Job Summary

Azure Cloud AI Engineer - Azure OpenAI TypeScript/Python & CDKTF
Job Summary

We are seeking an experienced Azure Cloud AI Engineer with hands-on expertise in Azure AI services cloud infrastructure automation and infrastructure as code. The ideal candidate will have strong programming skills in TypeScript and/or Python experience with CDK for Terraform (CDKTF) and knowledge of Azure AI data and core cloud services.

Key Responsibilities
  • Design provision and manage Azure infrastructure using CDKTF and Terraform.

  • Develop and integrate AI solutions using Azure OpenAI Azure Cognitive Services and Azure Machine Learning.

  • Implement and maintain Azure data solutions using Cosmos DB Azure Data Factory Azure SQL and Azure Synapse Analytics.

  • Configure and manage Azure core services including Virtual Networks Storage App Services Key Vault and application configuration.

  • Develop infrastructure-as-code components and automation using TypeScript and Python.

  • Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions.

  • Containerize applications and deployment components using Docker.

  • Collaborate with cloud AI data and DevOps teams to deliver scalable and secure Azure solutions.

Required Technical Skills
  • Azure AI Services: Azure OpenAI Azure Cognitive Services Azure Machine Learning.

  • Infrastructure as Code: CDKTF and Terraform preferably for Azure infrastructure.

  • Programming: TypeScript and/or Python.

  • Azure Data Services:

    • Azure Cosmos DB (SQL API and MongoDB API)

    • Azure Data Factory (pipelines data flows integration runtime)

    • Azure SQL Managed Instance and Azure SQL Database

    • Azure Synapse Analytics

  • Azure Core Services: Virtual Network (VNet) Storage App Services Key Vault and application configuration.

  • DevOps: CI/CD pipelines Azure DevOps GitHub Actions and Docker.

Preferred Qualifications
  • Experience integrating AI services with Azure-hosted applications and data platforms.

  • Strong understanding of cloud architecture infrastructure automation and deployment best practices.

  • Ability to collaborate across AI engineering data engineering cloud infrastructure and DevOps teams.