AI Platform Engineer – Secure, Scalable Enterprise AI

usyd; Sydney; Hybrid; AUD 131,000 - 148,000; Full time

Benefits offered by this job

17% superannuation

Parental leave entitlements

Salary packaging options

Flexible and hybrid working

Career development and learning

Job summary

The University of Sydney is seeking an Artificial Intelligence Engineer to support the delivery of ICT initiatives that shape education, research, and innovation. You will work across cloud, APIs, automation and observability to enable secure and scalable AI platforms and Gen AI services.

This hands-on engineering role focuses on operational reliability, model assurance and responsible AI, spanning the full engineering lifecycle from requirements to deployment and monitoring.

Qualifications

• Strong coding capability in Python, SQL or similar languages, with version control and automation experience.
• Experience delivering and supporting AI-enabled platforms within large organisations.
• Understanding of secure and responsible enterprise AI practices.

Responsibilities

• Design, develop, deploy and operationalise scalable AI-enabled platforms and tools.
• Administer, monitor and maintain AI platforms and generative AI tools in cloud environments.
• Monitor observability of AI services, respond to incidents and implement improvements.
• Plan and deliver software upgrades, security patches and maintenance for AI services.
• Validate AI model performance and ensure explainability and governance alignment.
• Support data infrastructure and pipelines underpinning AI systems.
• Collaborate with architects, engineers, product teams and governance functions.

Skills

Python

SQL

Cloud platforms

Automation

Observability

AI tooling

Debugging

Education

Relevant degree in Computer Science or related field

Job description

The University of Sydney is seeking an Artificial Intelligence Engineer to support the delivery of ICT initiatives that shape education, research, and innovation. You will work across cloud, APIs, automation and observability to enable secure and scalable AI platforms and Gen AI services.

This hands-on engineering role focuses on operational reliability, model assurance and responsible AI, spanning the full engineering lifecycle from requirements to deployment and monitoring.