AI Platform Engineer

AI Platform Engineer

• Employment Type: Full Time (35 hours per week)
• Duration: Continuing
• Remuneration: Level 8 from $132445 - $149228 (depending on experience) 17% super leave loading
• Location: UNSW Kensington Campus NSW

About UNSW:

UNSW isnt like other places youve worked. Yes were a large organisation with a diverse and talented community doing extraordinary things. Together we are driven to be thoughtful practical and purposeful in everything we do.

As Australias #1 university and one of the worlds leading research institutions our people are helping solve societys biggest challenges through world-class research education and innovation. If you want a career where you can thrive be challenged and make a genuine impact youre in the right place.

Why Your Role Matters

As AI reshapes education you will lead the technical development of scalable platforms and applications that improve teaching learning and assessment across the Business Faculty. Working with Education Designers academics professional teams and external partners you will turn ideas into practical prototypes and production-ready solutions for large student cohorts. This role reports to the Director Education Excellence and Innovation has no direct reports and is not available remotely.

Key responsibilities

• Design build and deploy full-stack AI-enabled education platforms applications and digital tools.
• Develop solutions using Large Language Models retrieval-augmented generation conversational AI agentic workflows and intelligent automation.
• Lead platform architecture integrations and technical standards across cloud services APIs databases authentication services and learning systems.
• Rapidly prototype test and improve solutions based on user feedback and operational needs.
• Ensure solutions are secure accessible reliable scalable and maintainable.
• Provide technical leadership and oversight to project teams vendors and development partners.
• Apply strong software engineering DevOps testing documentation and production support practices.
• Identify and manage psychosocial and physical health and safety risks within your area of responsibility.

Who you are

You are a technically strong software engineer who enjoys solving complex problems with AI. You are curious practical and comfortable experimenting learning from setbacks and improving ideas through testing. Education-sector experience is desirable not essential.

You will bring:

• A relevant qualification and experience in software engineering computer science artificial intelligence information technology or a related field or equivalent competence.
• Strong full-stack development experience using modern programming languages and frameworks.
• Experience building and deploying AI-enabled applications using LLMs AI APIs and cloud platforms.
• Experience with APIs databases web services authentication and third-party integrations.
• Experience with RAG systems agentic workflows conversational AI or intelligent automation.
• Technical leadership experience across complex software platform or product initiatives.
• Experience with version control testing CI/CD monitoring observability and production support.
• Strong problem-solving stakeholder communication and interdisciplinary collaboration skills.
• A practical understanding of privacy security accessibility and ethical AI.
• Commitment to UNSWs values policies and health and safety responsibilities.

Desirable experience includes higher education learning technologies digital assessment learning analytics or vendor coordination.

For further details on role responsibilities and skills & experience required refer to the position description found under the positionlisting on

Benefits and Culture:

People are at the core of everything we do. Its our people who make UNSW one of the worlds leading universities.

Along with the opportunity to work on diverse high-risk projects that support world-class research and education youll enjoy benefits that are hard to find in many construction and infrastructure environments including:

• 17% superannuation and additional leave loading.
• Additional 3 days leave over the Christmas shutdown.
• Flexible working options and genuine work-life balance.
• Career development and learning opportunities.
• Discounts and entitlements across retail education and fitness.

To learn more about working at UNSW visit: to Apply: Submit your CV & Cover Letter by Sunday 23rd August 2026

Please note: Sponsorship is not available for this role valid Australian working rights are required on application.

Contact: Amy Denney - Talent Acquisition Associate
Please apply directly through the website applications sent to the contact above will not be accepted.

Pre-Employment Checks
As part of our recruitment process candidates may be required to undergo pre-employment screening which may include reference checks qualification verification right-to-work verification and criminal history screening where relevant to the role.

UNSW is committed to equity diversity and inclusion. Applications from women people of culturally and linguistically diverse backgrounds those living with disabilities members of the LGBTIQ community; and people of Aboriginal and Torres Strait Islander descent are encouraged. UNSW provides workplace adjustments for people with disability and access to flexible work options for eligible staff.

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