AI Platform Engineer: Build Secure AI Landing Zones

Johnson Controls; Dallas (TX); On-site; USD 125,000 - 145,000; Full time

Job summary

Johnson Controls seeks an AI Platform Engineer to design and operate enterprise AI landing zones and shared services across Azure and AWS. You will build reusable modules, govern deployments, and enable self-service for AI, data science, and product teams.

The role emphasizes automation, CI/CD, security, and collaboration with Cybersecurity, Cloud Engineering, and Enterprise Architecture to scale AI capabilities responsibly.

Qualifications

• Bachelor's degree or equivalent practical experience in a relevant field.
• 5+ years in cloud, DevOps, platform, SRE, or MLOps roles.
• Hands-on Azure production experience using Terraform and Azure DevOps.
• Strong knowledge of cloud networking, identity, and secure connectivity.
• Proficiency in Python, PowerShell, or Bash and strong documentation skills.

Responsibilities

• Build and operate secure, scalable AI landing zones and platform services on Azure and AWS.
• Develop reusable infrastructure modules and deployment patterns.
• Design and implement governance, security, and reliability controls.
• Develop CI/CD pipelines and automated testing for Terraform modules and platform services.
• Collaborate with AI engineers and product teams to enable self-service capabilities.

Skills

Cloud experience

DevOps

Platform engineering

SRE

MLOps

Python

PowerShell

Bash

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or related

Equivalent practical experience

Tools

Terraform

Terragrunt

Azure DevOps

Azure AI Foundry

Azure OpenAI

Azure Machine Learning

Azure AI Search

Document Intelligence

Container Apps

App Services

Functions

Key Vault

Azure Container Registry

Cosmos DB

Redis

Docker

Kubernetes

SageMaker

Bedrock

API Gateway

Lambda

S3

VPC / Networking

Job description

Johnson Controls seeks an AI Platform Engineer to design and operate enterprise AI landing zones and shared services across Azure and AWS. You will build reusable modules, govern deployments, and enable self-service for AI, data science, and product teams.

The role emphasizes automation, CI/CD, security, and collaboration with Cybersecurity, Cloud Engineering, and Enterprise Architecture to scale AI capabilities responsibly.