Cloud AI Systems Administrator

Benefits

* Competitive salary Location

Remote

Experience Level

Mid–Senior Level (5 or more years of cloud systems engineering experience, with 3 or more years in Microsoft Azure)

Role Overview

The Azure Cloud Engineer – AI & Automation administers, operates, and governs enterprise cloud infrastructure and artificial intelligence platforms within Microsoft Azure for a growing financial institution. Focused on cloud systems administration, security baselines, and operational guardrails rather than software development, this role ensures emerging AI technologies are deployed safely and transparently. Key responsibilities include configuring Azure AI Foundry, administering enterprise model integrations (Azure OpenAI, Anthropic Claude, Model Context Protocol / MCP), locking down data boundaries through Microsoft Purview, and maintaining automated CI/CD and Infrastructure-as-Code pipelines.

Key Responsibilities

AI Platform Administration & Governance

• Administer and operate enterprise AI platforms, including Azure AI Foundry, Azure OpenAI, OpenAI, and Anthropic Claude.
• Configure model parameters, access controls, quota policies, logging, and production deployment environments.
• Administer and govern Model Context Protocol (MCP) integrations, establishing authentication standards and secure data-handling boundaries between AI platforms and enterprise systems.
• Implement AI governance and responsible-use guardrails using Microsoft Purview, content filters, prompt and response inspection, and human-in-the-loop review workflows.

Cloud Infrastructure & Landing Zones

• Engineer, deploy, and maintain secure Azure landing zones across compute, networking, storage, and platform services in accordance with banking standards.
• Author and maintain Infrastructure as Code (IaC) templates utilizing Bicep, ARM, or Terraform to eliminate manual production configurations.
• Administer identity and acces