How will I help?
If you're ahands-on AI Engineerwho loves building, shipping, and scaling real AI products - this is your moment.
You'll work in delivery squads designing, building, and operationalisingproduction-grade AI and GenAI solutionsthat directly enhance Westpac's products and services.
It's an exciting time for AI at Westpac, and you'll be part of our rapidly growingDDAI (Data, Digital & Artificial Intelligence)team - where ideas move fast and models go live.
This role is for engineers who want tobuild, 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.
Your responsibilities include:
Designing, building, and deployingmachine learning models and GenAI applicationsthat solve genuine business problems.
Working hands-on withlarge-scale data, from preprocessing through to insights and features.
Buildingrobust data pipelines and APIs(batch, real-time and streaming).
ImplementingGenAI solutionsusing modern frameworks, prompting techniques, RAG patterns, fine-tuning, and evaluation.
Deploying models into production andmonitoring performance in the real world.
Collaborating across squads to embed AI into products and services.
Keeping pace with fast-moving advances inGenAI, ML and big data- and applying them where they matter.
Writing clear documentation to support reproducibility, learning and scale.
Troubleshooting model, data, and deployment issues end-to-end.
Key ingredients for success ...
A tertiary qualification inComputer Science,



Engineering, Mathematics, or a related field.
Hands-on productionAI/ML experience including working knowledge of MLOps and AI tooling,
Strong Python skills and deep experience withTensorFlow, PyTorch or scikit-learn.
DemonstrableGenAI/LLM build experience(prompting, agents, RAG, fine-tuning) using frameworks such asLlamaIndex, LangChain, AutoGen, DSPy.
Cloud platform expertiseand containerisation (Docker, Kubernetes)
Strong software engineering fundamentals —Git, CI/CD, clean code.
Experience withbig data technologies(Spark, Hadoop or similar), plus experimentation and A/B testing.
A problem-solving mindset, great people skills and a passion for building AI in general.
Why join us?
We're obsessed with becoming our customers'#1 banking partner for life- and we're building the AI capability to make that real.
At Westpac, you'll find:
Exclusive banking benefits, includingemployee-only mortgage rates.
Versatile work and additional leave options (Culture, Lifestyle and Wellbeing leave)
Tailored learning and development to help you grow your AI career.
Plenty of opportunities to give back through community and volunteering initiatives.
Does this sound like you?
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.
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