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Melbourne
3 weeks ago
Staff Software Engineer- AI/ML, AI CoE Payments Technology logo

Staff Software Engineer- AI/ML, AI CoE Payments Technology

Commonwealth Bank

Melbourne
3 weeks ago
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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.

Core AIOn-siteFull-timePrincipalPythonAWS

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.

Apply
Core AIOn-siteFull-timePrincipalPython

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

On-site

Employment Type

Full-time

Experience Level

Staff-level

Core Qualifications

Technical (Must-have)
PythonAWSGenerative AILLMsAI agentsRAGPrompt engineeringModel evaluationGuardrailsResponsible AIAPIsMicroservicesDistributed systemsEvent-driven architecturesDevSecOps
Soft Skills
MentoringTechnical leadershipInfluenceAdaptabilityCuriosityProblem solvingCommunication

Preferred Qualifications

Technical (Nice-to-have)
AzureGCPJavaNode.jsTypeScriptApache KafkaTerraformKubernetesCI/CDGitHub ActionsAmazon BedrockInfrastructure as Code

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
Staff Software EngineerAI/MLPayments TechnologyFinancial ServicesCloudPythonGenAIAWSMelbourneSydney
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