In-Demand Python Jobs in Cannington, Wa

Artificial Intelligence Engineer
University of Sydney —Darlington WA
- $131,108 - $147,858 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
- Parental leave
19h
Principal Engineer
Snowflake —Perth WA
- Full-time
- Azure
- Computer Science
- Engineering
Forecasting Officer
WesTrac —Guildford WA
- Part-time
- Microsoft Excel
- Analysis skills
- Communication skills
- Employee stock purchase plan
- Parental leave
8h

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Artificial Intelligence Engineer

University of Sydney -
Darlington WA

Apply Now

Job Details

Full-time
$131,108 - $147,858 a year
19 hours ago

Benefits

Parental leave
Salary packaging

Qualifications

Azure
Law
SQL
Analysis skills
Data management
APIs
Scalability
AI
Workday

Full Job Description

Help deliver and support the University’s enterprise AI platforms, integrations and Gen AI services
Work across cloud, APIs, automation and observability to enable secure, reliable and scalable AI
Salary $131,108 to $147,858 + 17% Superannuation

Solve by Talent is partnering with the University of Sydney to recruit an Artificial Intelligence (AI) Engineer to support the delivery of key Information and Communications Technology (ICT) initiatives that help shape the future of education, research, and innovation.

Why join the University of Sydney?

Join one of Australia’s leading universities at a pivotal point of change, where technology is evolving to better support student learning, empower teaching excellence, and enable research delivery at global scale.

ICT is central to delivering the University’s academic mission. Working across faculties, disciplines, and research communities, you will shape the platforms, services, and partnerships that enable student success, strengthen teaching, and accelerate research impact.

With strong investment and clear direction, you’ll operate in a large and complex environment where your contribution has visible, meaningful impact across the University.

The opportunity

This role offers the opportunity to play a key part in operating and evolving the University’s enterprise AI environment, ensuring AI-enabled systems and generative AI tools are secure, reliable and responsibly managed.

You’ll work across the full engineering lifecycle of AI-enabled systems, from understanding business needs and shaping technical solutions through to development, deployment, monitoring, support and ongoing optimisation.

This is a hands-on engineering role with a strong focus on operational reliability, model assurance and responsible AI, oppose to building AI models from scratch .

What you’ll do

Design, develop, deploy and operationalise scalable AI-enabled platforms, solutions and tools.
Administer, monitor and maintain AI-enabled platforms, services and generative AI tools in cloud environments.
Monitor and support the observability of AI platforms and services, responding to incidents, conducting root cause analysis and implementing preventative improvements.
Plan and deliver software upgrades, security patches, performance tuning and maintenance activities to keep AI services secure, reliable and efficient.
Validate and monitor AI model performance, identify technical and operational risks, and ensure outcomes remain accurate , explainable and aligned with assurance standards.
Support the infrastructure, data pipelines and data management practices underpinning AI systems.
Partner with architects, engineers, product teams, governance functions and business stakeholders to understand requirements and translate them into practical technical solutions.

What we’re looking for

Extensive commercial experience across cloud, software, platform or integration engineering, including hands-on experience delivering and supporting AI-enabled platforms within a large , complex organisation.
Strong coding capability in Python, SQL or similar languages, with experience in version control, testing and automation.
Hands-on experience with AI platforms such as Microsoft Copilot, OpenAI, Azure AI Foundry, intelligent agents and other LLM-based services.
Strong data management and engineering capability, including troubleshooting AI systems and improving performance, reliability and scalability.
Demonstrated understanding of secure and responsible enterprise AI practices, including privacy, data protection, access controls, AI risk assessment, assurance, monitoring and governance in a complex organisational environment.
Strong analytical, problem-solving and stakeholder engagement skills, with the ability to translate business needs into practical technical solutions.
Relevant tertiary qualifications in Computer Science, ICT or a related discipline, or equivalent training and experience.

What’s in it for you?

At the University of Sydney, we support our staff with a range of benefits designed to enhance your career, wellbeing and work-life balance, including:

17% superannuation to support your financial future.
Generous parental leave entitlements.
Salary packaging options.
Flexible and hybrid working arrangements.
Career development and learning opportunities.
Health and wellbeing programs, including Fitness Passport.
Access to a vibrant, globally recognised university community.

How to apply

If you're looking for an opportunity to contribute to meaningful work while building your career in a world-class university environment, we would love to hear from you.

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

Accessibility and inclusion

The University of Sydney is committed to creating an inclusive recruitment experience for all candidates. If you require adjustments or additional support at any stage of the recruitment process, we encourage you to let us know.

This may include adjustments to the interview format, additional time, breaks, accessible interview locations, receiving materials in advance, or any other practical support that will help you participate comfortably.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Nick Barwick, [email protected] .

EEO statement

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion , evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a disability , people from culturally and linguistically diverse backgrounds , and those who identify as LGBTIQ+ . We welcome applications from candidates from all backgrounds.

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion .

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University.

Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process.

Sponsorship / work rights for Australia

You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment.

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

Sunday 13 September 2026 11:59 PM

Apply Now

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python jobs in cannington, wa

Artificial Intelligence Engineer

Principal Engineer

Forecasting Officer

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Help deliver and support the University’s enterprise AI platforms, integrations and Gen AI services

Work across cloud, APIs, automation and observability to enable secure, reliable and scalable AI

Salary $131,108 to $147,858 + 17% Superannuation

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