Artificial Intelligence Engineer in Melbourne

Artificial Intelligence Engineer in Melbourne

Melbourne Temporary 123750 - 151250 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Drive AI innovation in healthcare, designing and deploying cutting-edge solutions.
  • Company: Leading organisation at the forefront of healthcare and life sciences.
  • Benefits: Competitive salary, flexible hybrid work, and opportunities for professional growth.
  • Other info: Collaborate with experts and lead AI projects in a dynamic environment.
  • Why this job: Make a real impact on patient outcomes and digital transformation through AI.
  • Qualifications: Degree in Computer Science or related field, with 5+ years in software development.

The predicted salary is between 123750 - 151250 $ per year.

Base pay range

Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Overview

We’re seeking an AI Solutions Engineer to drive innovation within a leading organisation at the forefront of healthcare and life sciences.

This role will play a key part in shaping digital transformation through AI, with applications spanning research, patient outcomes, manufacturing, and regulatory processes.

  • What you’ll do
  • Partner with R&D, clinical, and operational teams to identify automation and AI opportunities.
  • Design, build, and deploy fit-for-purpose AI/ML solutions from predictive models to multi-agent workflows, leveraging platforms such as Lang Chain, Azure AI Services, Amazon Bedrock, and open-source LLMs.
  • Integrate solutions into operational systems via APIs, data pipelines, and event-driven workflows.
  • Champion AI governance, security, and compliance, ensuring adherence to industry regulations (FDA, TGA, GDPR).
  • Promote AI best practice internally, supporting capability uplift across scientific and commercial teams.

About you

  • Degree-qualified in Computer Science, Data Science, Engineering, or related field.
  • 5+ years’ software development experience, with strong skills in Python and modern frameworks.
  • Hands-on experience delivering AI/ML solutions in production, ideally within regulated or complex industries.
  • Familiarity with cloud AI ecosystems (Azure AI, AWS Bedrock, GCP Vertex AI) and tools for orchestration, testing, and deployment.
  • Knowledge of responsible AI principles, compliance frameworks, and data privacy practices.
  • Strong stakeholder engagement skills able to translate scientific or business requirements into actionable AI solutions.
  • Exposure to healthcare, pharmaceuticals, biotech, or life sciences environments is highly regarded.
  • Work at the intersection of AI, data, and life sciences, shaping solutions that improve research, manufacturing, and patient outcomes.
  • Collaborate with cross-functional experts from data scientists to clinical researchers.
  • Opportunity to lead end-to-end AI projects with a direct impact on real-world healthcare.
  • Melbourne-based role with flexible hybrid arrangements.
  • Seniority level
  • Mid-Senior level
  • Employment type
  • Contract
  • Job function
  • Information Technology
  • Industries
  • Pharmaceutical Manufacturing
  • Retail Pharmacies
  • Medical Equipment Manufacturing
  • #J-18808-Ljbffr

Artificial Intelligence Engineer in Melbourne employer: FourQuarters Recruitment

Join a leading infrastructure and services group in Sydney's Western Suburbs, where you will be part of a high-performing team dedicated to excellence and innovation. The company prioritises employee growth through continual learning and development opportunities, ensuring that you can advance your career while contributing to exciting projects and acquisitions. With a supportive work culture and a focus on collaboration, this is an excellent opportunity for those seeking meaningful and rewarding employment.

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Contact Details:

FourQuarters Recruitment Recruitment Team

We think you need these skills to ace Artificial Intelligence Engineer in Melbourne

AI/ML Solutions Development
Python
LangChain
Azure AI Services
Amazon Bedrock
Open-source LLMs
API Integration