- Location
- Margaret Telfer Building (K07), Australia
- Type
- Full-time
- Education
- Bachelor
- Visa
- Not sponsored
- Closing date
- Today
- Source
- Workday
Description
- Full-time, three-year fixed-term opportunity to launch your career as an AI Graduate within the University's AI Hub, starting February 2027
- Join a structured graduate program where you will solve real business problems using AI, automation and modern software engineering
- Base Salary $86,360 + 17% superannuation
Build trusted AI and automation solutions that improve how the University works
Are you a recent graduate or final-year student with strong Python foundations, an analytical mindset and an interest in solving business problems? The University of Sydney's Graduate Program is seeking an AI Graduate to join the AI Hub. We welcome applicants from any university and discipline who can demonstrate technical aptitude, curiosity and people skills.
You will help take opportunities from an initial business problem through to a trusted production service. Using AI throughout your work, you will design, code, test, document and troubleshoot solutions. Strong Python and software delivery fundamentals remain essential: you must understand, review and improve AI-generated work and apply sound judgement.
- Python and AI-assisted software delivery
- Generative AI, machine learning and AI evaluation
- Cloud services, APIs and system integration
- Automation, RPA and process orchestration
The AI Hub embeds AI in its own workflows to learn what effective, responsible adoption requires and increase the pace and scale of delivery. As your experience grows, you will contribute across generative AI, machine learning, AI evaluation, automation and service management, balancing innovation with privacy, security, governance, maintainability and measurable value. We invest in your growth through funded training, mentoring and coaching, including opportunities for industry-recognised certifications.
As an internal consulting team, we work with areas across the University to understand processes, identify the real problem and redesign work. You will help guide practical solutions through delivery, adoption and continuous improvement.
You will learn alongside a cross-functional graduate cohort, build professional networks and take part in social and development programs.
If you enjoy coding and working with people to solve meaningful organisational problems, we would like to hear from you.
Responsibilities
- partner with stakeholders to understand processes, define problems and improve how work is done
- design, build, test and deploy production AI and automation solutions using Python and AI-assisted development
- communicate throughout delivery and help stakeholders redesign processes, implement solutions and support adoption
- monitor and continuously improve solutions, considering user trust, security, privacy, governance, maintainability and business value
Benefits
- fully funded training and industry-recognised certifications
- mentoring, coaching and support throughout the program
- competitive salary and career development programs
- collaborative culture and graduate social programs
Eligibility
- recent graduate or final-year student from any university and discipline who will complete an undergraduate degree before starting full-time employment in February 2027
- relevant working rights for full-time employment in Australia
Minimum Qualifications
- demonstrated Python experience solving practical problems through building, automation or analysis
- ability to understand, review, test and improve code, including AI-generated code
- strong analytical and structured problem-solving skills
- clear communication and effective collaboration with technical and non-technical stakeholders
Preferred Qualifications
- evidence of applying AI, Python or automation to a practical problem through study, personal projects or work, including testing or deployment
- experience improving a business process, working with stakeholders or supporting organisational change
- familiarity with generative AI, machine learning, AI evaluation, RPA, cloud services, APIs or automation platforms
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.
Pre-employment checks and declarations
Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role 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. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.
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 LGBTQIA+. We welcome applications from candidates from all backgrounds.
We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion.
How to apply
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.
For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Victoria Ford-Rogers, Recruitment Operations by email to [email protected]
© The University of Sydney
The University reserves the right not to proceed with any appointment.
Click to view the Position Description for this role.
Applications Close
Monday 07 September 2026 11:59 PM