Ai/ML 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 DevOps.

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

How you will do it

ML Platform Engineering & MLOps (Azure-Focused)

• Build and manage end-to-end ML/LLM pipelines onAzure ML usingAzure 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 usingTerraform, 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.

Infrastructure & Cloud Architecture

• Design highly available and performant serving environments for LLM inference usingAzure Kubernetes Service (AKS) andAzure Functions orApp Services.

• Build and manage RAG pipelines using vector databases (e.g., Azure Cognitive Search, Redis, FAISS) and orchestrate with tools likeLangChain orSemantic Kernel.

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

Automation & CI/CD Pipelines

• Build reusableAzure 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.

Collaboration & Enablement

• 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.

Qualifications & Skills

Required Experience

• 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 onAzure usingAzure ML andAzure DevOps.

• Proven experience managing infrastructure as code withTerraform in production environments.

Technical Proficiency

• Proficiency inPython (PyTorch, Transformers, LangChain) andTerraform, with scripting experience in Bash or PowerShell.

• Experience withDocker andKubernetes, especially within Azure (AKS).

• Familiarity with CI/CD principles, model registry, and ML artifact management usingAzure ML andAzure DevOps Pipelines.

• Working knowledge of vector databases, caching strategies, and scalable inference architectures.

Soft Skills & Mindset

• 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 Qualifications

• Experience withLLMOps, prompt orchestration frameworks (LangChain, Semantic Kernel), and open-weight model deployment.

• Exposure tosmart 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: $85,000 - 107,000 (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 a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visitEEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visithere.