Design, build, and scale production-grade generative and agentic AI products, platforms, agents, copilots, and customer experiences. Develop LLM and RAG applications, reusable AI engineering frameworks, evaluation and guardrail systems, and reliable cloud-native services. Influence architecture and engineering standards, apply responsible AI practices, mentor engineers, and champion automated testing, DevSecOps, CI/CD, observability, and operational excellence across Business Banking technology.
Staff Software Engineer – AI InnovationCustomer Channels, Data & AI | Business Banking Technology
Multiple Opportunities | Sydney or Melbourne
- Build and scale Generative AI and agentic AI experiences that transform how customers and bankers engage with the bank.
- Influence architecture, engineering standards and technical direction across modern AI, cloud and data platforms.
- Solve complex engineering challenges at the intersection of software engineering, customer experience and artificial intelligence.
At CommBank, we're reimagining how customers and bankers interact through Generative AI, intelligent digital experiences and emerging agentic AI capabilities.
Within our Customer Channels, Data & AI domain, we're investing heavily in the next generation of AI-enabled customer engagement, banker experiences and decisioning platforms that will help define the future of Business Banking.
As a Staff Software Engineer – AI Innovation, you'll play a critical role in designing, building and scaling intelligent solutions that combine modern software engineering with emerging AI technologies. You'll help create experiences that assist customers, augment colleague capability and unlock new ways of engaging with the bank.
This is a rare opportunity to influence the future application of Generative AI and agentic AI at enterprise scale while remaining deeply hands-on with technology, architecture and delivery.
See yourself in our teamBusiness Banking Technology executes the Technology Strategy across Business Banking through world-leading application of technology and operations.
We partner closely with the business to solve real-world problems using data and AI-driven insights, resilient platforms and modern engineering practices, delivering customer value at speed and scale.
You'll join our Customer Channels, Data & AI organisation, where teams are building:
- AI-enabled customer engagement experiences
- Agentic AI workflows and orchestration capabilities
- Intelligent banker experiences and copilots
- Data-driven decisioning services
- Customer channels powered by modern cloud and AI platforms
Working closely with engineers, architects, data specialists, product managers and business stakeholders, you'll help shape how Business Banking adopts and scales AI-enabled experiences safely and responsibly.
What you'll do- Design, build and scale AI-powered products, services and platform capabilities.
- Build AI agents, copilots and intelligent customer experiences that deliver measurable customer and colleague outcomes.
- Develop production-grade AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and agentic AI patterns.
- Drive architecture and engineering decisions across AI-enabled customer and colleague experiences.
- Develop reusable frameworks, services and engineering patterns that accelerate AI adoption across the domain.
- Improve AI reliability through evaluation frameworks, guardrails, observability and monitoring.
- Partner with product, design, engineering and risk teams to implement responsible AI practices.
- Champion modern software engineering practices including automated testing, DevSecOps, CI/CD and operational excellence.
- Mentor engineers and help uplift AI engineering capability across the broader organisation.
- Proven experience designing and delivering complex software solutions within large-scale or distributed environments.
- Strong hands-on software engineering capability and a passion for solving challenging technical problems.
- Experience building cloud-native applications, APIs, platforms or data-driven services.
- Experience building or integrating AI-enabled products, intelligent applications or LLM-powered services.
- The ability to balance strategic technical thinking with hands-on delivery.
- Experience influencing technical direction, architecture and engineering standards.
- Experience evaluating new technologies and turning prototypes into production-ready solutions.
- A track record of mentoring engineers and uplifting capability across teams.
Experience in customer channels, digital platforms, AI-enabled products or financial services is highly regarded, but not essential. We're looking for exceptional engineers who can learn quickly, apply sound judgement and make an impact across a rapidly evolving technology landscape.
Technical skillsWe value strong engineering fundamentals over expertise in any single language or framework. Experience with some of the following will help you succeed.
AI Engineering- Python
- LangChain
- LangGraph
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- AI Agent Frameworks
- LLM Integration
- AI Evaluation & Monitoring
- Guardrails and Responsible AI Controls
- Semantic Search and Knowledge Retrieval
- Distributed systems design and development
- API development and microservices architectures
- Cloud-native application development
- Event-driven architectures
- Domain-Driven Design (DDD)
- Secure software engineering practices
- AWS
- Kubernetes
- Docker
- Infrastructure as Code (Terraform and/or CloudFormation)
- CI/CD pipelines and deployment automation
- DevSecOps practices
- Experience with HoneyHive, A2UI or similar AI engineering platforms
- Full-stack development using .NET, React, TypeScript or Next.js
- Vector databases and semantic retrieval architectures
- Knowledge graphs and intelligent data platforms
- AI agent orchestration frameworks
- Safe and effective use of AI-powered engineering tools to improve productivity and software quality
- Automated testing
- Observability and monitoring
- Production platform ownership
- Reliability engineering and operational excellence
- Agile software delivery practices
- Help define how Generative AI and agentic AI are applied across one of Australia's largest technology organisations.
- Build intelligent customer and banker experiences used across Business Banking.
- Work at the intersection of software engineering, AI innovation and customer experience.
- Influence engineering direction while remaining hands-on with technology and delivery.
- Experiment, prototype and scale emerging AI capabilities with real customer impact.
- Join a growing technology organisation investing heavily in the future of AI-powered banking.
At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support please contact 1800 989 696.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
Commonwealth Bank Darling, Victoria, AUS Office
Darling, Australia
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