Some Data Scientists write models.
Others shape the future of enterprise AI.
Were hiring a Lead Data Scientist / AI Architect for a high-calibre team solving real-world AI challenges - from agentic systems to GenAI tooling and enterprise-scale AI platforms.
This is not a research-only role or one where youll just hand over notebooks. Youll sit at the centre of solution design technical architecture and delivery leadership helping organisations build out secure scalable AI-native platforms - and shaping the way they think about intelligent systems.
Youll bridge technical disciplines - from data science and AI engineering to infrastructure and cloud - and help turn big ideas into pragmatic production-ready solutions.
The opportunity:
Shape and deliver end-to-end AI solutions across UI agents ML pipelines and data infrastructure
Own technical decision-making on architecture devops observability and deployment approaches
Work with multi-cloud environments and define AI platform capabilities (e.g. LLM gateways orchestration layers tooling)
Jump onto the tools when needed from hands-on DS work to AI engineering support
Help shape our internal AI capabilities as we build toward a truly AI-native organisation
Collaborate directly with clients execs and delivery teams to translate business goals into scalable technical strategy
Youll bring:
Strong background in data science software engineering and cloud-native AI solutions
Experience defining AI solution architectures and reference patterns
Hands-on work with AI agents LLM platforms orchestration and MLOps
Understanding of enterprise IT environments ideally including Australian government or regulated sectors
Broad cloud experience Azure a strong plus
5 years commercial experience ideally with platform-level ownership
Australian Citizenship (required due to project security needs)
Location:
Melbourne preferred
Sydney possible for the right person
Want to help lead Australias shift to AI-native delivery
Get in touch.
Contact
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