Senior AI Engineer – Enterprise MLOps Architect (Azure)

Michael Page; Western Australia; On-site; AUD 180,000 - 280,000; Full time

Job summary

Michael Page is partnering with a large enterprise undergoing a significant AI transformation. This leadership role will design and implement enterprise-scale AI operations on Azure, building reusable platforms and governance across the organization.

You will drive MLOps, CI/CD, monitoring, security, and scalable production-ready AI workloads, collaborating with senior stakeholders to shape the future of enterprise AI adoption.

Qualifications

• Hands-on Azure AI engineering experience.
• Experience with MLOps, deployment pipelines.
• Strong Python development and automation skills.
• Knowledge of AI monitoring and observability.

Responsibilities

• Design and implement enterprise AI operational capabilities on Azure
• Build reusable MLOps and LLMOps frameworks
• Develop CI/CD pipelines with automated testing and release controls
• Implement AI monitoring, logging, tracing and observability solutions
• Configure Azure AI, OpenAI and AI Search services
• Establish AI security controls, governance and compliance processes
• Deploy and manage AI workloads using modern cloud services
• Create documentation, reusable templates and knowledge transfer materials

Skills

Azure AI engineering

OpenAI

Python

MLOps

CI/CD

DevSecOps

Observability

LLM & RAG

AI agents

Tools

Azure AI Foundry

OpenAI

AI Search

Job description

Michael Page is partnering with a large enterprise undergoing a significant AI transformation. This leadership role will design and implement enterprise-scale AI operations on Azure, building reusable platforms and governance across the organization.

You will drive MLOps, CI/CD, monitoring, security, and scalable production-ready AI workloads, collaborating with senior stakeholders to shape the future of enterprise AI adoption.