Senior AI Engineer – Enterprise MLOps Architect (Azure)

Michael Page

Western Australia

On-site

AUD 180,000 - 280,000

Full time

3 days ago
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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.

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