Enterprise AI Platform Engineer — Hybrid & Secure

Centre for Continuing Education; Sydney; On-site; AUD 131,000 - 148,000; Full time

Benefits offered by this job

17% superannuation

Flexible and hybrid working

Career development and learning

Health and wellbeing programs

Job summary

The University of Sydney is seeking an Artificial Intelligence Engineer to operate and evolve its enterprise AI environment, ensuring AI-enabled systems are secure, reliable and responsibly managed. You will work across the full engineering lifecycle from requirement shaping to deployment, monitoring and optimisation, with emphasis on operational reliability and governance.

This hands-on role requires strong Python/SQL coding, experience with AI platforms, data management and collaboration with

Qualifications

• Extensive commercial experience delivering and supporting AI-enabled platforms within a large organisation.
• Strong coding capability in Python, SQL, with testing and automation exposure.
• Experience with AI platforms such as OpenAI, Azure AI Foundry and related tools.

Responsibilities

• Design, develop, deploy and operate scalable AI-enabled platforms and tools.
• Administer and monitor AI services in cloud environments.
• Monitor observability, respond to incidents and implement improvements.
• Plan upgrades, patches and maintenance to keep AI services secure and efficient.
• Validate AI model performance and ensure governance standards.
• Support data pipelines and data management for AI systems.
• Collaborate with architects, product teams and governance functions to translate requirements.

Skills

Python

SQL

AI platforms

Cloud

Observability

Automation

Stakeholder engagement

Problem solving

Education

Computer Science degree

Tools

OpenAI

Azure AI Foundry

LLM-based services

Microsoft Copilot

Job description

The University of Sydney is seeking an Artificial Intelligence Engineer to operate and evolve its enterprise AI environment, ensuring AI-enabled systems are secure, reliable and responsibly managed. You will work across the full engineering lifecycle from requirement shaping to deployment, monitoring and optimisation, with emphasis on operational reliability and governance.

This hands-on role requires strong Python/SQL coding, experience with AI platforms, data management and collaboration with