AI Solution Engineer

About the role

AFCA, a not-for-profit financial ombudsman for Australians, is hiring an AI Solution Engineer in Melbourne on a 12-month contract. Reporting to the Technical Data Manager, you will design, build and deploy AI and machine learning solutions that turn complex data into practical business outcomes, working with data engineers, architects, business stakeholders and delivery teams. The role bridges analytical concepts and production implementation, keeping solutions scalable, maintainable, secure and aligned with responsible AI principles.

Key responsibilities

• Design, build and deploy end-to-end AI and machine learning solutions
• Translate business problems into analytical approaches, model designs and technical solutions
• Analyse structured and unstructured data to find trends, patterns and insights
• Develop, evaluate and optimise machine learning models for classification, prediction and decision support
• Integrate models into enterprise systems and workflows with data and platform engineers
• Contribute to AI engineering, MLOps, DevOps and CI/CD practices
• Support testing, deployment, monitoring and continuous improvement of AI solutions
• Embed responsible AI principles such as fairness, transparency, privacy and explainability
• Document models, methods and designs to support governance and sustainability
• Communicate analytical findings to technical and non-technical audiences

Required profile

• Experience delivering AI, machine learning or advanced analytics solutions in production environments
• Strong knowledge of statistics, machine learning techniques, model evaluation and experimental design
• Experience with structured and unstructured datasets
• Cloud-based data and AI platforms, ideally Microsoft Azure, Microsoft Fabric and Databricks
• Knowledge of data governance, security, privacy and responsible AI
• Nice to have: Generative AI, NLP or optimisation experience, integration with enterprise applications and APIs, model observability and risk management knowledge, and a degree in Data Science, Statistics, Computer Science or Engineering

Required skills

• Python and SQL
• Version control and modern engineering practices
• Model deployment, monitoring, CI/CD pipelines and MLOps

What we offer

• Flexible work options and hybrid arrangements
• Inclusive leave options and a supportive, diverse culture
• Not-for-profit salary packaging