Staff Software Engineer - Gen AI

Staff Software Engineer-Gen AI

• You are passionate about AI and working to deliver better outcomes for CBA’s customers, employees and the wider community 

• We are world leaders in AI ambition 

• Together, we will innovate the future of banking with state-of-the-art AI accelerated Engineering solutions 

Your business  

CommBank is recognised as leading the industry in IT and operations with its world-class platforms and processes, agile IT infrastructure, and innovation in everything from payments to internet banking and mobile apps.  

The Engineering Platform domain within the Chief Technology Office (CTO) is foundational to delivering scalable, secure, and intelligent software systems across the organisation. This domain has strong emphasis on generative AI–driven enhancements and concentrates on developing core capabilities including CI/CD pipelines, secure coding practices and automation using GitHub actions. 

Do work that matters : 

The Engineering Pathways crew is seeking an experienced Senior Gen AI Engineer to join our AI acceleration function dedicated to working with Commonwealth Bank’s global engineering community to use AI assisted tools and capabilities in ways that improve the engineering experience and productivity at scale.  

Role responsibilities:  

• Lead the design and development of scalable AI-driven systems and services, with a focus on integrating generative AI into core engineering workflows. 

• Drive cross- functional collaboration to embed AI capabilities into CI/CD pipelines, secure coding practices, and developer tooling. 

• Accelerate development workflows by writing, testing, and optimising system code, and enabling intelligent debugging through AI-powered suggestions. 

• Conduct independent research to evaluate emerging Gen AI technologies and contribute to the evolution of internal platforms through rapid prototyping and production-grade implementation. 

• Write, test and optimise product or system development code and accelerate debugging through intelligent suggestions. 

• Develop, test, and refine product or system code while collaborating with peers and stakeholders through structured design and code reviews  

• Diagnose and resolve complex system issues, performing root cause analysis and assessing their impact on hardware, network, or service performance and quality.  

We are interested in hearing from people who have:  

AI/ML & GenAI Frameworks
Deep expertise with TensorFlow, PyTorch, Hugging Face, and CI/CD integration to automate and optimise development lifecycles. RAG & Agentic AI Systems
Hands-on experience building Retrieval-Augmented Generation (RAG) systems and orchestrating multi-agent workflows using LangChain, LlamaIndex, AutoGen, Semantic Kernel, and Pydantic.

Advanced Programming & Scalable AI
Strong coding skills in Python, TypeScript, JavaScript, or C#, with proven ability to deploy ML models and build scalable AI solutions in production.

AI Tools & Developer Productivity
Familiarity with tools like Claude, LLaMA, LiteLLM, Cursor, Codeium, and others to enhance developer workflows and build intelligent, context-aware systems.

Cloud, Containers & Microservices
Proficient in AWS/Azure, Docker, Kubernetes, and microservices architecture for secure, scalable AI/ML workloads and services.

Engineering Excellence & Agile Delivery
Solid foundation in SDLC, secure coding, CI/CD (GitHub Actions), automated testing, and agile collaboration using Jira and Confluence.