The Opportunity Our client is a high-growth scale-up on a mission to expand and make an impact through the delivery of innovative AI and automation solutions. They’re seeking a Lead Data Scientist and a Lead AI Engineer to lead the design, engineering and delivery of GenAI solutions across a broad range of enterprise projects. This includes building AI agents, architecting end-to-end machine learning systems, and guiding strategic AI readiness consulting engagements. You'll act as a technical lead, people manager, and client advisor - playing a pivotal role in shaping how the business scales its AI capabilities. The role is paying $160-180K Super 10% Bonus ESOP with a hybrid work environment (3-4 days a week in Sydney CBD office). The ideal candidate is commercially minded, technically excellent, and deeply curious about the evolving AI landscape, especially Generative AI . Whether you've had hands-on GenAI experience or are actively exploring it in your own time, you'll need to demonstrate the ability to turn ideas into real-world, high-impact solutions. Key Responsibilities Lead complex GenAI and data science projects from discovery to production Mentor and grow a small team of data scientists and engineers Engage with clients as a trusted technical advisor - shaping roadmaps, presenting solutions, and influencing senior stakeholders Architect AI systems and integrate models, workflows, and APIs into scalable solutions Contribute to product strategy by feeding back market insights and customer needs Collaborate cross-functionally with product, marketing, and delivery teams Stay ahead of the curve on new AI tools, trends, and methods - especially GenAI What You’ll Bring 7 years of experience in data science, with solid machine learning and AI engineering skills Confident in client-facing roles - leading workshops, scoping engagements, and delivering design architecture proposals and technical presentations Deep interest in Generative AI and emerging technologies Tech/team leadership experience in data science Retail analytics experience is a bonus Coding experience with Python and familiarity with modern AI stacks (e.g. LangChain, Hugging Face, TensorFlow, PyTorch) Experience building scalable data pipelines and working with cloud-native tools (e.g. Snowflake, dbt, Airflow) A start-up / scale-up mindset: adaptable, proactive, commercially driven, and excited to shape something from the ground up Why Join? This is a rare chance to join an emerging player in the AI space and shape its technical direction at a foundational level. You’ll work on exciting, future-focused projects with a passionate, collaborative team and have a real voice in how the business evolves. Ready to Apply? Apply now to secure an interview slot next week!
