Job Description
How will I help?
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If you're a hands-on AI Engineer who loves building, shipping, and scaling real AI products - this is your moment. You'll work in delivery squads designing, building, and operationalising production-grade AI and GenAI solutions that directly enhance Westpac's products and services.
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It's an exciting time for AI at Westpac, and you'll be part of our rapidly growing DDAI (Data, Digital & Artificial Intelligence) team - where ideas move fast and models go live.
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This role is for engineers who want to build, deploy, and own AI in production, working side-by-side with data scientists, software engineers, and product managers. To hit the ground running, you will have real-time experience in the AI Engineering space and can demonstrate solid hands-on AI experience beyond experimentation and POCs.
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Your responsibilities include:
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Designing, building, and deploying machine learning models and GenAI applications that solve genuine business problems.
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Working hands-on with large-scale data, from preprocessing through to insights and features.
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Building robust data pipelines and APIs (batch, real-time and streaming).
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Implementing GenAI solutions using modern frameworks, prompting techniques, RAG patterns, fine-tuning, and evaluation.
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Deploying models into production and monitoring performance in the real world.
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Collaborating across squads to embed AI into products and services.
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Keeping pace with rapid-moving advances in GenAI, ML and big data - and applying them where they matter.
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Writing clear documentation to support reproducibility, learning and scale.
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Troubleshooting model, data, and deployment issues end-to-end.
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Key ingredients for success ...
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A tertiary qualification in Computer Science, Engineering, Mathematics, or a related field.
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Hands-on production AI/ML experience including working knowledge of MLOps and AI tooling,
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Strong Python skills and deep experience with TensorFlow, PyTorch or scikit-learn.
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Demonstrable GenAI/LLM build experience (prompting, agents, RAG, fine-tuning) using frameworks such as LlamaIndex, LangChain, AutoGen, DSPy.
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Cloud platform expertise and containerisation (Docker, Kubernetes)
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Strong software engineering fundamentals — Git, CI/CD, clean code.
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Experience with big data technologies (Spark, Hadoop or similar), plus experimentation and A/B testing.
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A problem-solving mindset, great people skills and a passion for building AI in general.
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Why join us?
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We're obsessed with becoming our customers' #1 banking partner for life - and we're building the AI capability to make that real.
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At Westpac, you'll find:
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Exclusive banking benefits, including employee-only mortgage rates.
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Flexible work and additional leave options (Culture, Lifestyle and Wellbeing leave)
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Tailored learning and development to help you grow your AI career.
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Plenty of opportunities to give back through community and volunteering initiatives.
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Does this sound like you?
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We are committed to creating a supportive and inclusive workplace. We welcome applicants of all ages, genders, backgrounds, and abilities, and provide additional support for veterans, Indigenous Australians, and the neurodiverse community.
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If you require adjustments during the recruitment process, you can find further information and contact details by visiting the People with Disability and/or needing Accessibility Requirements page on our website.
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📌 Ai Engineer (New South Wales)
🏢 Westpac Group
📍 New South Wales