AI​/ML Platform Engineer

Johnson 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 Dev Ops.

You’ll work at the intersection of ML, Dev Ops, and cloud engineering—building the foundation that supports real‑time LLM inference, retraining, orchestration, and integration across JCI’s product and operations landscape.

• Build and manage end‑to‑end ML/LLM pipelines on Azure ML using Azure Dev Ops 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 Lang Chain or Semantic Kernel
  .

• Ensure security, logging, role‑based access control (RBAC), and audit trails are implemented consistently across environments.

• Build reusable Azure Dev Ops 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.

• 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 Dev Ops
  .

• Proven experience managing infrastructure as code with Terraform in production environments.

• Proficiency in Python (PyTorch, Transformers, Lang Chain) and Terraform
  , with scripting experience in Bash or Power Shell.

• 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 Dev Ops 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.

• Experience with
  LLMOps
  , prompt orchestration frameworks (Lang Chain, 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.

HIRING SALARY RANGE: $85, (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) This position includes acompetitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers siteat