Senior AI Platform Engineering Lead (Azure & MLOps)

YDU JC Air Cond & Ref Inc.- Dubai; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Paid vacation/holidays/sick time

Comprehensive benefits (401K, medical,

On the job/cross training

Collaborative team environment

Zero Harm safety policy

Job summary

Johnson Controls International plc. is seeking a Manager of AI & ML Platform Engineering to lead our enterprise AI platform team. The role defines vision, strategy, standards, and delivery for AI platforms enabling ML, GenAI, and agentic AI at scale across JCI.

The candidate will lead design and operation of Azure-based platforms, drive governance, and mentor a team of ML Platform and cloud specialists, with a hybrid workplace and competitive benefits.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, Data Science, or related field.
• 10+ years in software/cloud/platform/AI/ML
• 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, ML, or data products.
• 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.
• Strategic thinker with a platform-first mindset.
• Excellent communication, stakeholder management, and organisational leadership skills.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Skills

Leadership experience

Azure cloud expertise

Platform engineering

MLOps

Education

CS/Engineering degree

Tools

Azure DevOps

Terraform

Kubernetes

AKS

Azure OpenAI

Azure ML

Job description

Johnson Controls International plc. is seeking a Manager of AI & ML Platform Engineering to lead our enterprise AI platform team. The role defines vision, strategy, standards, and delivery for AI platforms enabling ML, GenAI, and agentic AI at scale across JCI.

The candidate will lead design and operation of Azure-based platforms, drive governance, and mentor a team of ML Platform and cloud specialists, with a hybrid workplace and competitive benefits.