AI Engineer DDAI

How will I help

If youre a hands-on AI Engineer who loves building shipping and scaling real AI products this is your moment. Youll work in delivery squads designing building and operationalising production-grade AI and GenAI solutions that directly enhance Westpacs products and services.

Its an exciting time for AI at Westpac and youll be part of our rapidly growing DDAI (Data Digital & Artificial Intelligence) team where ideas move fast and models go live.

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.

Your responsibilities include:

• Designing building and deploying machine learning models and GenAI applications that solve genuine business problems.
• Working hands-on with large-scale data from preprocessing through to insights and features.
• Building robust data pipelines and APIs (batch real-time and streaming).
• Implementing GenAI solutions using modern frameworks prompting techniques RAG patterns fine-tuning and evaluation.
• Deploying models into production and monitoring performance in the real world.
• Collaborating across squads to embed AI into products and services.
• Keeping pace with fast-moving advances in GenAI 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 in Computer Science Engineering Mathematics or a related field.
• Hands-on production AI/ML experience including working knowledge of MLOps and AI tooling
• Strong Python skills and deep experience with TensorFlow PyTorch or scikit-learn.
• Demonstrable GenAI/LLM build experience (prompting agents RAG fine-tuning) using frameworks such as LlamaIndex LangChain AutoGen DSPy.
• Cloud platform expertise and containerisation (Docker Kubernetes)
• Strong software engineering fundamentals Git CI/CD clean code.
• Experience with big 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

Were obsessed with becoming our customers #1 banking partner for life and were building the AI capability to make that real.

At Westpac youll find:

• Exclusive banking benefits including employee-only mortgage rates.
• Flexible 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

To apply select Apply or Apply NOW and submit your CV and cover letter.

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.