Azure Cloud Engineer - AI & Automation Lead

Devopsroles; Malvern (AR); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Customers Bank is seeking an Azure Cloud Engineer to administer, operate, and govern cloud and AI solutions on Microsoft Azure. This hands-on role moves between cloud architecture, infrastructure-as-code, CI/CD pipelines, and AI platform administration using Azure AI Foundry, Azure OpenAI, and MCP integrations.

You’ll manage landing zones, automate deployments, and govern AI platforms and integrations to drive a cloud-first, AI-enabled bank.

Qualifications

• 5+ years in cloud or software engineering, with at least 3 years hands-on building and operating workloads in Microsoft Azure.
• Hands-on experience administering AI platforms such as Azure AI Foundry, Azure OpenAI, Anthropic Claude, and OpenAI — including model configuration, access management, usage monitoring, and production operations.
• Strong API engineering skills: designing, securing, and consuming REST APIs, with practical experience integrating third-party and internal services.
• Experience building CI/CD pipelines in Azure DevOps or GitHub Actions and authoring infrastructure-as-code with Bicep, ARM, or Terraform.
• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.

Responsibilities

• Design and implement Azure solutions across compute, networking, identity, storage, and platform services.
• Build and maintain CI/CD pipelines in Azure DevOps and GitHub Actions for infrastructure-as-code and application deployments using Bicep, ARM, or Terraform.
• Administer and operate AI platforms including Azure AI Foundry, Azure OpenAI, Anthropic Claude, and OpenAI — managing model configurations, access controls, usage policies, evaluations, and production deployments.
• Administer and govern Model Context Protocol (MCP) integrations, ensuring access controls, authentication standards, data-handling boundaries, and usage policies are in place so AI platforms connect to enterprise systems securely and in compliance with bank standards.
• Define cloud governance through Azure Policy, RBAC, tagging, cost management, and observability in Azure Monitor, Log Analytics, and Application Insights.
• Document reference patterns, pipeline templates, and runbooks; mentor teammates on cloud infrastructure, AI platform administration, and responsible AI usage.

Skills

Cloud engineering

Communication

Security fundamentals

API integration

Infrastructure as code

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Azure

GitHub Actions

Bicep

ARM

Terraform

PowerShell

Python

Job description

Customers Bank is seeking an Azure Cloud Engineer to administer, operate, and govern cloud and AI solutions on Microsoft Azure. This hands-on role moves between cloud architecture, infrastructure-as-code, CI/CD pipelines, and AI platform administration using Azure AI Foundry, Azure OpenAI, and MCP integrations.

You’ll manage landing zones, automate deployments, and govern AI platforms and integrations to drive a cloud-first, AI-enabled bank.