How will I help?
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.
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.
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
)
Robust 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?
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, 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?
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.
#J-*****-Ljbffr

📌 Ai Engineer (New South Wales)
🏢 Westpac Group
📍 New South Wales