Enterprise data platforms and distributed processing
Large language models (llms) and multi-agent systems
Accelerate CBA’s Home Buying digital strategy by delivering AI-powered experiences that help customers seamlessly navigate their home buying journey through digital channels
Job Summary
Accelerate CBA’s Home Buying digital strategy by delivering AI-powered experiences that help customers seamlessly navigate their home buying journey through digital channels.
Design and build AI agent ecosystems and intelligent assistants that transform how customers interact with CBA, enabling faster, smarter, and more personalised banking experiences.
Our team is collaborative, supportive and keen to share knowledge.
Matching Summary
Accelerate CBA’s Home Buying digital strategy by delivering AI-powered experiences that help customers seamlessly navigate their home buying journey through digital channels.
Skills & Requirements
Must-have
Python programming with Pandas, SQL, PySpark
Enterprise data platforms and distributed processing
Large Language Models (LLMs) and multi-agent systems
AI agent architectures and A2A communication
Scalable backend services with FastAPI
Enterprise AI platforms (Bedrock, Copilot Studio)
Production AI systems with CI/CD
Nice-to-have
Collaborative and supportive team culture
Open communication and knowledge sharing
Drive own career growth and learning
Pushing boundaries in digital banking
Key Requirements
Bachelor’s or Master’s degree in Engineering
Hands-on use of Pandas, SQL, and PySpark
Experience with Hadoop, Apache Spark, Ab Initio, Teradata
Experience with Agent-to-Agent (A2A) communication patterns