Senior Azure Cloud & AI Engineer

Prophecy Technologies

$120K — $150K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Demonstrated experience as a Senior-level engineer in Azure cloud and AI domains.
  • Proven ability to lead design and delivery of complex enterprise solutions.
  • Expertise in secure, scalable Azure cloud architectures.
  • Proficiency with Azure services including VMs, App Services, and Azure SQL.
  • Experience with Infrastructure as Code tools like ARM Templates or Terraform.
  • Strong skills in optimizing cloud environments and data governance.
  • Familiarity with AI-driven intelligence methods.

Responsibilities

  • Architect, build, and scale enterprise Master Data Management (MDM) platforms.
  • Lead design and delivery of Location Master and Product Master solutions.
  • Integrate Azure cloud architecture with modern open-source engineering and AI.
  • Leverage AI-assisted tools like GitHub Copilot to enhance development speed.
  • Ensure standards for security, quality, and maintainability in solutions.

Benefits

  • Opportunity to work with cutting-edge AI technology.
  • Engage in complex projects within a large retail environment.
  • Collaborate with cross-functional teams across various business functions.
  • Potential for professional growth in cloud and AI engineering.
Full Job Description
Role Overview:

This role is for a Senior Azure Cloud & AI Engineer responsible for architecting, building, and scaling enterprise Master Data Management (MDM) platforms within a large, complex retail environment. The position involves leading the design and hands-on delivery of critical Location Master and Product Master solutions that serve as foundational systems for various business functions including Stores, Supply Chain, Merchandising, and Purchasing.

Key Responsibilities:
  • Architect, build, and scale enterprise Master Data Management (MDM) platforms.
  • Lead the design and hands-on delivery of Location Master and Product Master solutions.
  • Blend Azure cloud architecture, modern open-source engineering, data governance, and AI-driven intelligence.
  • Actively leverage AI-assisted development tools such as GitHub Copilot and Cursor to accelerate delivery.
  • Maintain enterprise standards for security, quality, and maintainability in all solutions.

Required Skills:
  • Expertise in designing and implementing secure, scalable, and highly available Azure cloud architectures.
  • Proficiency in deploying and managing Azure services including Virtual Machines, App Services, Kubernetes (AKS), Azure Storage, Azure SQL, and Cosmos DB.
  • Experience with Infrastructure as Code (IaC) using ARM Templates, Bicep, or Terraform.
  • Ability to implement CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Skills in monitoring, troubleshooting, and optimizing cloud environments.
  • Strong understanding of modern open-source engineering and data governance.
  • Experience with AI-driven intelligence, including human-in-the-loop and emerging agentic AI patterns.

Qualifications:
  • Demonstrated experience as a Senior-level engineer in Azure cloud and AI domains.
  • Proven ability to lead design and delivery of complex enterprise solutions.

Preferred Skills:
  • Familiarity with human-in-the-loop and emerging agentic AI patterns.
  • Experience utilizing AI-assisted development tools such as GitHub Copilot and Cursor.

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