Staff/Lead Gen AI Engineer
- 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:
Experience with AI/ML and Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, etc), with a deep understanding of their integration into CI/CD pipelines and their role in automating and optimising software development lifecycles.
Hands-on experience developing Retrieval-Augmented Generation (RAG) systems using frameworks such as LlamaIndex, LangChain, or similar frameworks
Experience designing and implementing Agentic AI systems using frameworks such as AutoGen, Semantic Kernel, Pydantic, or similar tools to orchestrate multi-agent workflows, and enable autonomous task execution.
Advanced programming skills in languages such as Python, TypeScript, JavaScript, or C#, with the ability to build scalable AI solutions and integrate machine learning models into production environments.
Experience with AI technologies and developer tools, including one or more of the following: Anthropic Claude, LLaMA, LiteLLM, Cursor, Windsurf / Codeium, VO Vercel, Continue, Aider, or Cline, with a focus on building intelligent, context-aware systems and enhancing developer productivity through AI integration.
Proficiency in cloud platforms such as AWS and Microsoft Azure, with experience deploying, scaling, and managing AI/ML workloads in secure, production-grade environments.
Solid understanding and hands-on experience with API development and microservices architecture, enabling the design and deployment of scalable, AI services.
Experience with containerisation tools such as Docker and Kubernetes, enabling the development, deployment, and orchestration of scalable AI applications in cloud environments.
Hands-on experience with CI/CD pipelines for automated deployments, including proficiency with tools like GitHub Actions
Strong foundation in software engineering principles, including the full software development lifecycle (SDLC), secure coding practices, automated testing strategies, and CI/CD pipeline integration to support scalable and resilient AI solutions.
Demonstrated hands-on experience in designing, deploying, and maintaining scalable and reliable software solutions in production environments.
Demonstrated ability to take ownership of complex tasks, break them down into actionable steps, and deliver high-quality results independently or as part of a collaborative team.
Proficiency in collaborative development practices and agile methodologies, with hands-on experience using tools like Jira and Confluence to manage workflows, document progress, and drive iterative delivery in cross-functional teams.
Working with us
Please include a cover letter with your application that highlights how your experience, through personal or work projects, aligns with the requirements of the role and demonstrates your proficiency in AI-powered engineering. Referencing the specified tools, or similar technologies that you have used is recommended.
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.
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