Become part of a dynamic and innovative group within our Commodities and Global Markets AI team, dedicated to delivering sophisticated Generative AI (GenAI) solutions. Our team drives advancements in trading, risk management, and client services across global markets. We foster a supportive, collaborative environment that values expertise, encourages curiosity, and thrives on pushing the boundaries of AI innovation.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

As an AI Data Scientist (GenAI & Engineering Hybrid), you will take a leading role in designing, prototyping, and deploying cutting-edge Generative AI solutions to tackle complex business challenges. Your responsibilities will span both domains, focusing on solutioning business problems, rapid prototyping, prompt engineering, engaging with stakeholders, and delivering actionable insights. You will also be contributing by writing production-grade code, integrating APIs, managing databases, developing CI/CD pipelines, and building scalable, maintainable AI systems.

In addition to driving technical excellence, you will serve as a senior technical mentor within the data science stream, collaborating closely with a team of dedicated platform engineers (so you won’t be the sole engineer!). However, you’ll also have the flexibility and capability to step into engineering tasks when needed, ensuring seamless integration and delivery of AI solutions.

• Proven expertise in Generative AI (GenAI) and Large Language Models (LLMs), including hands-on experience with LLMs, RAG techniques, AI agents, prompt engineering, and frameworks such as LangChain, LlamaIndex, LangGraph, AWS Bedrock Agents & Bedrock Agentcore, GCP Agentspace, etc.
• A hybrid data science and engineering skillset, with a strong ability to productionise AI/ML models in Python, write maintainable code, and work in cloud environments (AWS, GCP, Azure).
• A personal passion for GenAI, demonstrated through personal projects, experimentation, or active use of tools like GitHub Copilot or Claude Code to enhance creativity and productivity.
• Strong business and communication skills, including the ability to translate technical concepts into business value and collaborate effectively with stakeholders to deliver impactful solutions.
• Leadership and mentoring experience, with a passion for knowledge sharing and fostering a high-performing, collaborative team culture.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.