
Staff Software Engineer- AI/ML, AI CoE Payments Technology
Commonwealth Bank
Staff Software Engineer- AI/ML, AI CoE Payments Technology
Staff Software Engineer role in the AI Centre of Excellence within Payments Technology at CommBank, based in Sydney or Melbourne. The position combines strong software engineering fundamentals with hands-on AI/ML and cloud capability to build secure, scalable production AI systems in a regulated payments environment.
Staff Software Engineer- AI/ML, AI CoE Payments Technology
Staff Software Engineer role in the AI Centre of Excellence within Payments Technology at CommBank, based in Sydney or Melbourne. The position combines strong software engineering fundamentals with hands-on AI/ML and cloud capability to build secure, scalable production AI systems in a regulated payments environment.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Design, build and operate production-grade AI/ML and GenAI solutions in a cloud environment
- Build backend services and AI capabilities using Python and modern software engineering practices
- Design and productionise AI agents and agentic workflows, including orchestration, tool use, grounding and human-in-the-loop patterns
- Work with LLMs and cloud AI platforms to solve real engineering and operational problems within Payments
- Develop RAG and grounding patterns, integrating models with enterprise data, APIs and internal systems
- Establish approaches for evaluation, guardrails, observability and responsible AI
- Design reusable AI services, frameworks, APIs and platform capabilities
- Apply strong cloud-native engineering principles across scalability, resilience, security and performance
- Champion DevSecOps and design-to-run ownership
- Explore how AI-assisted engineering can improve software delivery, testing, operational support and developer productivity
- Mentor engineers and help grow AI engineering capability across Payments Technology
- Influence technical strategy and contribute to engineering standards and reference patterns for AI adoption