Johnson Controls Inc. is seeking a Senior AI/ML Platform Engineer to design and implement scalable AI and machine learning platforms primarily on Azure. The ideal candidate will have extensive experience in ML engineering, platform architecture, and leadership, contributing to the company's mission of creating sustainable and smart buildings
Job Summary
This senior role is responsible for designing scalable, secure, and production-grade ML/LLM infrastructure on Azure to enable enterprise-wide adoption of advanced AI capabilities.
The position offers a competitive salary range of $126,000 - $189,000 along with a bonus plan based on individual, group, and corporate performance.
Candidates will work in an empowering company culture that supports physical, financial, and emotional wellbeing while driving architectural decisions for global AI solutions.
Matching Summary
Match Score: 85
Johnson Controls Inc. is seeking a Senior AI/ML Platform Engineer to design and implement scalable AI and machine learning platforms primarily on Azure. The ideal candidate will have extensive experience in ML engineering, platform architecture, and leadership, contributing to the company's mission of creating sustainable and smart buildings.
Salary
Base: $126,000 - $189,000; Bonus: Competitive bonus plan based on performance; Benefits: Comprehensive package including 401K, medical, dental, vision
Skills & Requirements
Must-have
Azure ML platform architecture
Terraform Infrastructure as Code
Kubernetes (AKS) deployment
Python and PyTorch proficiency
CI/CD pipeline automation
RAG pipeline design
Model lifecycle management
Nice-to-have
LangChain framework experience
Microsoft Agent Framework knowledge
IoT or smart building systems background
Edge AI pipeline expertise
Responsible AI governance practices
Cross-functional team mentorship
Cost optimization frameworks
Key Requirements
Bachelor's or Master's degree in Computer Science or Engineering
10+ years of experience in ML engineering or cloud architecture
Deep hands-on experience deploying ML systems on Azure
Expert proficiency in Python, Terraform, Docker, and Kubernetes
Proven background in building secure automated ML/LLM systems