Remote Azure AI Platform Engineer & Governance

SMART TECH SKILLS LLC

Reading (Berks County)

On-site

USD 140,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Remote work
Competitive salary
Remote location in US

Job summary

SMART TECH SKILLS LLC is seeking an experienced Azure Cloud Engineer – AI & Automation to administer and govern enterprise cloud infrastructure within Microsoft Azure for a financial institution. The role emphasizes cloud systems administration, security baselines, and operational guardrails to ensure safe deployment of emerging AI technologies.

Responsibilities include configuring Azure AI Foundry, MCP integrations, Purview governance, and CI/CD pipelines; building secure landing zones with

Qualifications

  • 5+ years of cloud systems engineering, administration, or infrastructure operations.

Responsibilities

  • Administer and operate enterprise AI platforms (Azure AI Foundry, Azure OpenAI, OpenAI, Anthropic Claude).
  • Configure model parameters, access controls, quota policies, logging, and production deployment environments.
  • Govern MCP integrations, authentication standards, and data boundaries between AI platforms and enterprise systems.
  • Implement AI governance and guardrails using Microsoft Purview, content filters, and human-in-the-loop workflows.
  • Build and maintain automated CI/CD pipelines for infrastructure and platform updates.
  • Document reference architectures, SOPs, and runbooks.
  • Track KPIs and KRIs for AI usage, platform health, and security boundaries.

Skills

Azure Cloud
Azure AI Platform
IaC
CI/CD automation
Security governance
Scripting
APIs

Education

Bachelor's degree in CS or IS

Tools

Azure DevOps
GitHub Actions
Terraform
Bicep
ARM templates
PowerShell
Python

Job description

SMART TECH SKILLS LLC is seeking an experienced Azure Cloud Engineer – AI & Automation to administer and govern enterprise cloud infrastructure within Microsoft Azure for a financial institution. The role emphasizes cloud systems administration, security baselines, and operational guardrails to ensure safe deployment of emerging AI technologies.

Responsibilities include configuring Azure AI Foundry, MCP integrations, Purview governance, and CI/CD pipelines; building secure landing zones with

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