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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager of AI & ML Platform Engineering - **Company:** Johnson Controls - **Location:** United States - **Experience:** Expert - **Salary:** $100,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Audit Trail, Microsoft Azure, Cloud Computing Security, Cloud Engineering, Cyber Security, Continuous Integration, Data Infrastructure, Digital Technology, Monitoring of Systems, Machine Learning, Role-Based Access Control, Azure Machine Learning, Software Engineering, Large Language Models, Multi-Agent Systems, Generative AI, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Azure AKS, Machine Learning Operations, Virtual Agents, Terraform, Serverless Computing - **Published:** August 19, 2026 - **Apply:** https://www.dice.com/job-detail/43eb6180-c016-4e4c-aba8-3f7f0948eb0c ## About the Role * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related discipline. * 10+ years experience in software engineering, cloud engineering, platform engineering, or AI/ML technologies. * 5+ years leading engineering teams in enterprise environments. * Strong experience delivering Azure-based cloud and AI platform solutions. * Experience operating large-scale platforms supporting AI, machine learning, or data products. Technical Proficiency * Expert knowledge of Azure, Azure ML, Azure OpenAI, Azure AI Foundry, Azure DevOps, Terraform, Kubernetes, and AKS. * Strong understanding of MLOps, LLMOps, platform engineering, CI/CD, Infrastructure as Code, and cloud security. * Experience with vector databases, RAG architectures, AI agents, and enterprise GenAI solutions. Soft Skills & Mindset * Strategic thinker with a platform-first mindset. * Excellent communication, stakeholder management, and organisational leadership skills. * Strong problem-solving capability with a focus on business impact and operational excellence. Preferred Qualifications * Experience building enterprise GenAI and agentic AI platforms. * Knowledge of Responsible AI, governance frameworks, privacy, and compliance requirements. * Azure certifications such as Azure Solutions Architect, Azure AI Engineer, or Terraform Associate. ## Description Johnson Controls International (JCI) is looking for a Manager of AI & ML Platform Engineering to lead our growing AI and Data Platform team. This role is responsible for defining the vision, strategy, standards, and delivery model for enterprise AI platforms that enable machine learning, generative AI, and agentic AI capabilities at scale across JCI., The successful candidate will lead a team of ML Platform Engineers and work at the intersection of AI, cloud engineering, platform operations, governance, and enterprise architecture. You will be responsible for building and operating the foundational capabilities that support model training, LLM inference, RAG architectures, AI agents, and enterprise AI adoption. How you will do it Enterprise AI Platform Strategy & Leadership * Define and execute the enterprise AI Platform roadmap aligned to business and technology objectives. * Establish standards, reference architectures, engineering patterns, and operating procedures for AI and ML workloads. * Drive adoption of AI platform capabilities across product teams, business units, and data science organizations. * Own platform KPIs including reliability, security, adoption, developer productivity, and cost efficiency. AI Platform Engineering & Architecture * Lead the design and operation of enterprise AI platforms on Azure including Azure AI Foundry, Azure OpenAI, Azure ML, AKS, Azure Functions, and App Services. * Oversee scalable environments for model training, evaluation, deployment, monitoring, and inference. * Define platform standards for RAG solutions, vector databases, LLM serving, agent orchestration, and AI application integration. * Ensure security, observability, RBAC, auditability, and compliance controls are consistently implemented across environments. * Own platform operations including incident management, service reliability, escalation processes, root cause analysis, and post-incident improvement actions. MLOps, LLMOps & Governance * Establish enterprise standards for model lifecycle management, feature management, model monitoring, drift detection, and AI governance. * Drive Infrastructure as Code adoption using Terraform and standardised Azure DevOps delivery pipelines. * Implement governance processes covering platform architecture, technology standards, change management, and Responsible AI practices. People Leadership & Engineering Excellence * Lead, mentor, and develop a team of ML Platform Engineers, MLOps Engineers, and cloud specialists. * Build a high-performing engineering culture focused on automation, delivery excellence, innovation, and continuous improvement. * Support recruitment, career development, succession planning, and technical leadership development. Collaboration & Stakeholder Management * Partner with Data Science, Product Engineering, Cyber Security, Enterprise Architecture, and Digital Technology leadership teams. * Provide technical and strategic guidance on AI platform investments, scalability, governance, and operational excellence. * Communicate platform strategy, risks, and progress to senior leadership and executive stakeholders. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Azure-Well Architected Framework - designing mission critical workloads in practice](https://www.wearedevelopers.com/videos/1529-azure-well-architected-framework-designing-mission-critical-workloads-in-practice) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Azure-Well Architected Framework - Cost Optimization in practice](https://www.wearedevelopers.com/videos/2100-azure-well-architected-framework-cost-optimization-in-practice) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? 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