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AI Ops Engineer

JobtailorSydney, Sydney🇦🇺AustraliaPosted 6 Sept 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Sydney, Sydney, Australia
AzureCompliancePython

Job Description

• Deploy, configure, and support Microsoft Copilot solutions across M365 and custom Copilot use cases
• Build and integrate AI solutions using Azure AI services, Copilot Studio, and Azure AI Foundry
• Operate and monitor AI workloads to ensure reliability, performance, and responsible usage
• Support the AI solution lifecycle, including deployment, updates, and optimisation in Managed Services environments
• Implement monitoring, logging, and alerting for AI services and copilots to detect issues and risks
• Collaborate with stakeholders to identify, prioritise, and deliver AI use cases that drive business value
• Apply governance, security, and compliance controls to AI workloads, including data protection and access management
• Maintain technical documentation, runbooks, and operational procedures for AI services
• Work closely with customers to implement and manage AI capabilities in production and ensure a high-quality managed services experience

Requirements
  • 3-5 years' experience in cloud engineering, AI engineering, or application support roles
  • Experience delivering or supporting AI solutions in enterprise or consulting environments
  • Experience with Microsoft Copilot, including M365 Copilot and Copilot Studio
  • Working knowledge of Azure services including compute, identity, storage, and monitoring
  • Experience building or supporting AI/ML or automation solutions using Python, APIs, or low-code platforms
  • Understanding of AI governance, security, and compliance, including responsible AI principles
  • Experience with monitoring, incident management, and operational support using ITIL practices
  • Strong analytical and problem-solving capability with focus on automation and optimisation
  • Familiarity with Microsoft Fabric, Purview, or data platform technologies
  • Experience supporting Copilot rollout, adoption, or enablement initiatives
  • Bachelor's degree in IT, Computer Science, or related field (preferred education and experience)
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Microsoft Certified: Azure Administrator Associate (AZ-104)
  • Microsoft 365 Certified: Fundamentals / Copilot-related certifications (desirable)
  • Relevant cloud or AI certifications
Core Competencies

Demonstrates expertise in deploying and supporting Microsoft Copilot solutions and AI workloads, with a strong focus on governance, security, and compliance. Proficient in leveraging Azure services and implementing monitoring and operational procedures to ensure high-quality managed services.

Highest-signal resume keywords
  • Microsoft Copilot Experience
  • Azure AI Services Proficiency
  • AI Governance and Compliance Knowledge
  • Python and API Development
  • ITIL Practices for Operational Support
ATS Optimization Keywords Hard Skills
  • Cloud Engineering
  • AI Engineering
  • Application Support
  • AI/ML Solutions Development
  • Monitoring and Incident ManagementAutomation Solutions
  • Data Protection
  • Access Management
  • Operational Procedures
  • Technical Documentation
Soft Skills
  • Analytical Problem-Solving
  • Collaboration with Stakeholders
  • Focus on Automation and Optimisation
Certifications & Qualifications
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Microsoft Certified: Azure Administrator Associate (AZ-104)
  • Microsoft 365 Certified: Fundamentals
Industry Keywords
  • Managed Services
  • Enterprise AI Solutions
  • Consulting Environments
  • Responsible AI Principles
  • Cloud Solutions
Tools & Technologies
  • Microsoft 365
  • Copilot Studio
  • Azure AI Foundry
  • Microsoft Fabric
  • Purview
  • Low-Code Platforms

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