Lead the end‑to‑end technical delivery of AI‑enabled solutions, ensuring they are designed, built and deployed in line with approved architecture and engineering patterns.
Evaluate, adopt and integrate approved third‑party and cloud‑based AI services, frameworks and modules into enterprise systems and workflows.
Ensure AI solutions are production ready, scalable, supportable and capable of delivering measurable business outcomes.
Align solution design with enterprise architecture, data standards and responsible AI requirements, contributing to governance forums such as SGF and ARB.
Collaborate with delivery leads, SMEs and product owners to translate business needs into effective AI solutions, providing technical input into planning, estimation and risk management.
Provide technical oversight to delivery partners and vendors while clearly communicating constraints, dependencies and risks to technical and non-technical stakeholders.
Mentor engineers, uplift AI development capability, and contribute to the improvement of AI standards, reusable components and engineering practices.
Requirements
Tertiary qualification in Technology or a related discipline, or equivalent practical experience.
Commercial experience delivering complex software solutions, preferably within financial services or regulated enterprise environments.
Strong hands-on experience across multiple programming languages and modern software engineering practices.
Proven experience delivering AI enabled solutions for business functions, including solution design, integration, and operationalisation of third party and cloud-based AI services within enterprise environments.
Working understanding of applied AI concepts (e.g. GenAI, ML enabled services, intelligent automation) and their responsible use in solving business problems.
Proven experience delivering solutions on Microsoft Azure using PaaS services (e.g. Azure Functions, Azure API Management (APIM), Cosmos DB, and other native Azure services).
Working knowledge of software design and architecture, including the application of architectural and design patterns.
Experience operating within Hybrid, Agile, and Waterfall delivery methodologies and formal SDLC and governance frameworks.
Demonstrated ability to provide technical leadership and mentoring, collaborate with architects and delivery leads, and communicate effectively with non-technical stakeholders.
Tech Stack
Azure
Cloud
SDLC
Benefits
Access training and development to build on your current skills.
Career development through internal mobility opportunities.
Work for a business helping millions of Australians and make a difference every day.
Enjoy wonderful Health and Wellbeing initiatives that support you.