Senior AI Platform Observability & Ops Engineer

Medibank Private Limited; Melbourne; On-site; AUD 180,000 - 240,000; Full time

Job summary

Medibank Private Limited is establishing an Enterprise AI Hub to build AI observability, lifecycle governance and operational assurance. You will lead tooling, controls and processes for AI copilots, models and AI-enabled services, starting with Microsoft Copilot and AI in Microsoft 365.

The role collaborates with AI Readiness, Enablement and Platform Engineering Mastery to scale AI safely. You will own the tools and operating model, manage risk, security and compliance, and drive governance

Qualifications

• SME in enterprise technologies with a blend of technical depth and operational leadership.
• Experience in AI, cloud, platform or data services.
• Designing and running observability, monitoring, telemetry, incident management and service assurance capabilities.
• Leading cross-functional technical initiatives with risk, security and business stakeholders.
• Developing technical roadmaps, operating models and enterprise-wide capability uplift programs.

Responsibilities

• Lead the day to day operations of our Enterprise AI platforms in Microsoft 365 alongside Digital Workplace Enablement, including managing configuration, access, integrations, controls and optimisation
• Provide support, responding to incidents on our Enterprise AI platforms
• Analyse platform adoption, licence and cost, feature utilisation and support trends to identify opportunities and drive improvements in the usage and value we get from our AI tools
• Assess vendor releases and new AI capabilities from our existing platform, ensuring we use them to unlock value and configure them safely
• Define and deliver Medibank's operational tools and standards to manage our AI technologies; partner with stakeholders to build an easy-to-use platform for safe AI adoption
• Train citizen developers and enable champions to scale adoption of the AI tooling safely
• Establish standards and tools for monitoring AI health, performance, quality, safety, adoption and cost
• Identify opportunities to automate governance and lifecycle management with technology and the AI Hub
• Drive operational insight and continuous improvement through meaningful metrics, dashboards and alerting to technical and business teams
• Adapt frameworks and lifecycle management standards to govern AI services from onboarding through retirement

Skills

AI observability

Observability

Governance experience

Platform engineering

Azure tooling

Cross-functional leadership

Roadmap development

Risk governance

Tools

Power Platform

Copilot Studio

Azure

Job description

Medibank Private Limited is establishing an Enterprise AI Hub to build AI observability, lifecycle governance and operational assurance. You will lead tooling, controls and processes for AI copilots, models and AI-enabled services, starting with Microsoft Copilot and AI in Microsoft 365.

The role collaborates with AI Readiness, Enablement and Platform Engineering Mastery to scale AI safely. You will own the tools and operating model, manage risk, security and compliance, and drive governance