AI Engineer
Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Aug 13, 2026.
The role
The Artificial Intelligence (AI) Engineer is responsible for assisting in the design and development of scalable AI solutions to solve our business problems. The role will focus on building and operationalising AI solutions that drive innovation and deliver practical business value.
The AI Engineer will work closely with solutions architects, software engineers, and product teams to develop AI-enabled products, testing and tuning models, and ensuring solutions are secure, reliable, and scalable.
The team
APRA’s Technology team delivers, maintains, and enhances essential information technology services that support the organisation's productivity, strategic objectives, and business unit priorities.
Technology partners with stakeholders to design, implement and maintain IT solutions that meet the needs of the organisation and ensuring these are secure and aligned with APRA’s technology architecture.
Key responsibilities
- Support the testing, and deployment of new AI systems and enhancements to existing architectures
- Ensure that AI products and solutions are robust, efficient, and easy to maintain.
- Develop prototypes and proof of concepts to explore new AI capabilities.
- Collaborate with cross-functional teams to identify business needs and turn them into integrated AI solutions.
- Evaluate, fine-tune and optimise AI models for performance, scalability, and ethical outcomes.
- Apply techniques such as prompt engineering, RAG, and model evaluation frameworks.
- Monitor and improve AI systems ensuring reliability and user trust.
- Optimise models to ensure performance and efficiency.
- Stay up to date with the latest AI trends, tools and technologies to contribute to discussions and innovation within the team.
- Contribute to best practices, documentation and knowledge sharing to support scalable and sustainable delivery.
About you
- Proven experience working with AI platforms (particularly MS Copilot Studio and/or MS Foundry) and services (particularly Azure DevOps.)
- Practical knowledge of generative AI, LLMs, and machine learning frameworks (e.g. PyTorch, Tensorflow, MLFlow, RAG models, Langchain, etc.).
- Proficiency in coding languages such as Python, with experience in libraries such as Pandas, NumPy, and Scikit-learn.
- Experience with prompt engineering and fine-tuning large language models (LLMs)
- Familiarity with neural networks, predictive modelling, and natural language processing
- Familiarity with Agile delivery methodologies and SecDevOps practices.
- Ability to quickly prototype and iterate solutions using modern tools, including low-code platforms where appropriate.
- Passion for problem-solving, curiosity to explore new technologies, and a passion for continuous learning to keep up with the fast-changing AI field.
- Excellent communication and collaboration skills, with the ability to engage both technical and non-technical stakeholders.
- AI certifications from a recognized provider is a bonus.
To work with us, you need to be an Australian citizen with eligibility to obtain and maintain Australian Government Security clearance.
About APRA
The Australian Prudential Regulation Authority (APRA) places you at the heart of Australia’s financial services industry. APRA serves the Australian community by helping ensure financial institutions deliver on the financial commitments they make, within a stable, efficient and competitive financial system.
At APRA we’re committed to providing an inclusive workplace where everyone belongs, feels valued and respected. We aspire to attract and foster diversity of background, thought, and experience, recognising that a broad range of perspectives, approaches and ideas makes us stronger, and better enables us to meet our obligation to protect the financial wellbeing of the Australian community. When applying, please inform us of any adjustments you may need during the interview process.