AI Engineer Data Platforms (GBU)
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Yesterday
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Job Summary
Sydney or Melbourne Location / Hybrid Working
Are you ready to make your mark
As an AI Engineer in the General Business Units (GBU) Data Platforms (DP) team youll build deploy and operationalise enterprise AI and Generative AI on Westpacs strategic data platforms.
Working in cross-functional squads youll engineer production-ready ML agentic and GenAI solutionspipelines APIs and model deploymentsthat are secure dependable and scalable.
Youll partner with data scientists engineers and product teams to embed AI into core data products and workflows improving customer outcomes and operational efficiency.
Complementing a well-established Data Platforms engineering team that is now expanding into Enterprise AI capabilities youll also help build the foundations influence the direction and play a key role in delivering scalable AI solutions that will support critical business functions across the bank.
Westpac has been serving customers for over 200 years and youll play a key role in shaping its future through modern engineering and AI innovation.
Key areas of responsibility
- Design build and deploy ML and AI applications for business and operational problems.
- Engineer scalable pipelines and APIs for batch streaming and real-time workloads.
- Build and operationalise GenAI solutions (prompt engineering RAG agents fine-tuning).
- Integrate deploy monitor and optimise models in production for performance and resilience.
- Apply MLOps and engineering best practices (CI/CD testing versioning monitoring).
- Analyse large structured/unstructured datasets; troubleshoot pipeline/model issues.
- Maintain documentation and evaluate emerging AI/GenAI technologies.
Key ingredients for success
- Degree qualified in a relevant technical discipline.
- Passion drive natural curiosity underpinned by a continuous improvement mindset.
- Solid working experience in corporate or professional services building and deploying ML models in production.
- Strong Python/software engineering skills.
- Hands-on GenAI delivery experience (prompting RAG agents LLM integration); frameworks such as LangChain/LlamaIndex/AutoGen/DSPy.
- Cloud experience (Azure/AWS/GCP); Docker/Kubernetes.
- Experience with large-scale data platforms (e.g. Spark ADLS) and CI/CD (Git testing).
Highly desirable ingredients
- Enterprise AI/platform experience; MLOps lifecycle management.
- Streaming/real-time systems; experimentation and model evaluation.
- Strong problem-solving in complex environments.
Why join us
We are committed to supporting your growth through:
- Access to innovative technology and large-scale enterprise data platforms
- Strong career development pathways across engineering AI and platform leadership
- Flexible working arrangements and supportive team culture
- Ongoing learning certification and skill development opportunities
- Comprehensive parental leave and family support benefits
- A collaborative innovative environment focused on continuous improvement.
- to work in complex enterprise environments.
Were all about creating a supportive and inclusive community. We welcome everyone no matter your age gender background or abilities. We also provide additional support to welcome our veterans Indigenous Australians and neurodiverse community.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Westpac has a long and proud history as Australia's first and oldest bank. It was established in 1817 as the Bank of New South Wales under a charter of incorporation provided by Governor Lachlan Macquarie. In October 1982 it changed its name to Westpac Banking Corporation following th ... View more
