Join a major enterprise transformation focused on establishing secure, scalable AI operations capabilities across machine learning, LLM applications and AI agents on Azure. You will design and implement reusable MLOps, LLMOps, DevSecOps and observability frameworks that enable the successful deployment and management of AI solutions.

Client Details

Our client is a large enterprise organisation undertaking a significant AI transformation initiative. They are investing in modern AI engineering practices and scalable cloud-based platforms to support the deployment, monitoring and governance of advanced AI solutions across the business.

Description

Design and implement enterprise AI operational capabilities on Azure

Build and enhance 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 contemporary cloud services

Create documentation, reusable templates and knowledge transfer materials

Profile

Strong hands-on Azure AI engineering experience

Expertise with Azure AI Foundry, OpenAI and AI Search





Advanced Python development and automation skills

Strong background in MLOps and deployment pipelines

Experience building CI/CD and DevSecOps frameworks

Knowledge of AI monitoring, telemetry and observability

Experience with RAG, LLM applications and AI agents

Proven ability to deliver reusable, production-ready solutions

Job Offer

Strategic AI Leadership

Play a key role in building foundational AI capabilities that will influence future enterprise AI adoption and delivery.

Cutting-Edge Technology

Work with the latest Azure AI technologies, LLM platforms, agent frameworks and cloud-native tooling.

High Impact Environment

Contribute to a business-critical initiative where your work will directly shape AI operational standards and practices.

Technical Ownership

Take ownership of architecture, implementation and engineering best practices across multiple AI disciplines.

Collaborative Team Culture

Partner with senior technical stakeholders while providing guidance and knowledge transfer to internal teams.

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Mitchell Anderson

📌 Senior AI Engineer (Perth)
🏢 MPAU Technology
📍 Perth