AI Solutions Architect

2 days ago

Melbourne, Victoria, Australia beBeeData Full time $180,000 - $200,000
Job Description

We're seeking a skilled professional to drive innovation in the field of Artificial Intelligence. This role will play a key part in shaping digital transformation through AI, with applications spanning research, patient outcomes, manufacturing, and regulatory processes.


This is an opportunity for you to work at the intersection of AI, data, and life sciences, shaping solutions that improve research, manufacturing, and patient outcomes.


You'll have the chance to partner with cross-functional experts from data scientists to clinical researchers, and collaborate on end-to-end AI projects with a direct impact on real-world healthcare.


Key Responsibilities
  • 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 LangChain, Azure AI Services, Amazon SageMaker, 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).

Requirements
  • 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 SageMaker, 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.

Benefits
  • Opportunity to lead end-to-end AI projects with a direct impact on real-world healthcare.
  • Chance to collaborate with cross-functional experts from data scientists to clinical researchers.
  • Hybrid working arrangements available.

Location
  • Melbourne, Victoria, Australia.

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