Enterprise data platforms and distributed processing
Ai applications with large language models
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.
Help shape the future of AI-powered banking platforms by building scalable AI systems that leverage CBA’s enterprise AI ecosystem and support millions of customer interactions.
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
AI applications with Large Language Models
AI agent architectures and orchestration
Scalable backend services with FastAPI
Enterprise AI platforms (Bedrock, Lite LLM, Portkey, Copilot Studio)
Production AI systems with CI/CD
Nice-to-have
Collaborative and knowledge-sharing team culture
Drive own career growth and learning
Pushing boundaries in digital banking
Open communication and quality work
Key Requirements
Bachelor's or Master's degree in Engineering
Experience with enterprise data platforms
Experience building AI applications with LLMs
Experience with AI agent architectures
Experience developing backend services for AI
Experience with enterprise AI platforms
Experience building and deploying production AI systems