Why This Role Stands Out
You will design, build, and deploy cutting-edge AI solutions for critical clinical and operational challenges within a reputable state government organization, gaining comprehensive experience across the full AI product lifecycle. This role is ideal for a mid-senior engineer with a passion for solving complex problems and a desire to make a significant impact in healthcare, offering a competitive salary and the chance to work with advanced AI platforms. Don't miss this opportunity to advance your career in a dynamic and impactful field.
Quick Overview
Job Description
These are three Permanent Full-Time positions within the Allied & Digital Health Division.
You will be responsible for designing, building, and deploying production AI solutions that address real clinical and operational problems at RCH - spanning revenue integrity, clinical workflow, diagnostic support, surveillance, and service design. You will work across the full pipeline, from evaluating whether an AI-based approach is suitable for a problem, through designing the appropriate orchestration architecture, to building and delivering the end product.
You will join a small team that operates with a high degree of autonomy and collective ownership, working together to move AI from validated concept through to production. The role reports to the Head of Intelligent Automation and works closely with engineers, clinical specialists, and operational staff. The technology stack is Python and React with FastAPI, deployed primarily on Azure, using Azure AI Foundry and AWS Bedrock as the primary AI platforms. AI-assisted development tools (including Claude Code, GitHub Copilot, and Cursor) are used as part of standard practice.
This role's classification is AO71 to AO75 ($114,436.4 - $124,912.84 per annum pro rata, plus super)
What you'll achieve:
- Design and build AI orchestration architectures for clinical and operational problems, including prompt chains, agent-based workflows, and hybrid systems combining AI reasoning with deterministic logic
- Build and deploy end-to-end AI-powered systems, from data ingestion through to the interface where clinicians and operational staff interact with outputs
- Evaluate the feasibility of AI-based approaches with clinical and operational staff, determining appropriate architectures and achievable levels of accuracy before committing to a full build
- Apply creative, considered problem-solving to clinical and operational challenges that do not have straightforward solutions
Your skills and experience
- Tertiary qualifications in Computer Science, Software Engineering, Information Technology, or a related discipline, and/or significant relevant industry experience.
- Demonstrated experience building and deploying production software systems, with strong capability across backend development, API design, and at least one of frontend development or infrastructure.
- Practical experience with AI orchestration in a production context, including prompt engineering, multi-step prompt chains, agent architectures, retrieval-augmented generation, or hybrid systems combining AI with deterministic logic.
- Proficiency in Python and React, with experience building APIs using FastAPI or equivalent frameworks, and experience with the Azure cloud platform.
- Active use of AI-assisted development tools (such as Claude Code, GitHub Copilot, or Cursor) as part of a regular workflow.
- An understanding of the healthcare sector and the ability to work effectively with clinical stakeholders, translating domain expertise into technical requirements.
What we offer:
- Salary Packaging - Increase your take home pay!
- Early Learning Centre childcare
- Parkville location and close to public transport
- Discounted on-site car parking
Other requirements:
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