Johnson Controls · 1 day ago
AI/ML Platform Engineer
Milwaukee-Wisconsin-United States of America
Full-time
Onsite
Senior Level
$85K/yr - $107K/yr
5+ years expJohnson Controls International (JCI) is looking for a Machine Learning / Platform Engineer to join our growing AI and Data Platform team. This role is pivotal in enabling enterprise-scale ML and generative AI capabilities by building secure, scalable, and automated infrastructure on Azure using Terraform and Azure DevOps.
Industrial EngineeringPhysical SecuritySmart Building
Responsibilities
Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation
Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude) with a focus on automation, security, and scalability
Develop and manage infrastructure as code using Terraform, including provisioning compute clusters (e.g., Azure Kubernetes Service, Azure Machine Learning compute), storage, and networking
Implement robust model lifecycle management (versioning, monitoring, drift detection) with Azure-native MLOps components
Design highly available and performant serving environments for LLM inference using Azure Kubernetes Service (AKS) and Azure Functions or App Services
Build and manage RAG pipelines using vector databases (e.g., Azure Cognitive Search, Redis, FAISS) and orchestrate with tools like LangChain or Semantic Kernel
Ensure security, logging, role-based access control (RBAC), and audit trails are implemented consistently across environments
Build reusable Azure DevOps pipelines for deploying ML assets (data pre-processing, model training, evaluation, and inference services)
Use Terraform to automate provisioning of Azure resources, ensuring consistent and compliant environments for data science and engineering teams
Integrate automated testing, linting, monitoring, and rollback mechanisms into the ML deployment pipeline
Work closely with Data Scientists, Cloud Engineers, and Product Teams to deliver production-ready AI features
Contribute to solution architecture for real-time and batch AI use cases, including conversational AI, enterprise search, and summarization tools powered by LLMs
Provide technical guidance on cost optimization, scalability patterns, and high-availability ML deployments
Qualification
Required
Bachelor's or Master's in Computer Science, Engineering, or a related field
5+ years of experience in ML engineering, MLOps, or platform engineering roles
Strong experience deploying machine learning models on Azure using Azure ML and Azure DevOps
Proven experience managing infrastructure as code with Terraform in production environments
Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform, with scripting experience in Bash or PowerShell
Experience with Docker and Kubernetes, especially within Azure (AKS)
Familiarity with CI/CD principles, model registry, and ML artifact management using Azure ML and Azure DevOps Pipelines
Working knowledge of vector databases, caching strategies, and scalable inference architectures
Systems thinker who can design, implement, and improve robust, automated ML systems
Excellent communication and documentation skills—capable of bridging platform and data science teams
Strong problem-solving mindset with a focus on delivery, reliability, and business impact
Preferred
Experience with LLMOps, prompt orchestration frameworks (LangChain, Semantic Kernel), and open-weight model deployment
Exposure to smart buildings, IoT, or edge-AI deployments
Understanding of governance, privacy, and compliance concerns in enterprise GenAI use cases
Certification in Azure (e.g., Azure Solutions Architect, Azure AI Engineer, Terraform Associate) is a plus
Benefits
Competitive benefits package
Company
Johnson Controls
Johnson Controls offers smart buildings that create safe, healthy, and sustainable environments.
10001+ employees
H1B Sponsorship
Johnson Controls has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (61)
2024 (57)
2023 (80)
2022 (95)
2021 (81)
2020 (93)
Funding
Current Stage
Public CompanyTotal Funding
$1.6BKey Investors
US Department of Energy
2024-12-05Post Ipo Debt· $250M
2024-12-04Post Ipo Debt· $525.61M
2024-05-20Post Ipo Equity· $90M
Leadership Team
Joakim Weidemanis
Chief Executive Officer
Marc Vandiepenbeeck
Executive Vice President and Chief Financial Officer
Recent News
2026-01-16
Company data provided by crunchbase