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À propos de ce poste Staff Software Engineer, Group AI Enablement chez Commonwealth Bank of Australia

Commonwealth Bank of Australia · Sur site · Sydney CBD Area

Staff Engineer | Group AI Enablement


  • Shape and build AI capabilities that transform how CommBank’s people work.
  • Solve complex engineering problems across agentic AI, RAG, cloud platforms and enterprise integrations.
  • Combine hands-on engineering with technical leadership to deliver secure, reliable AI at scale.

Do work that matters


Group AI Enablement sits within the Chief AI Office, part of Group Central Technology. Our mission is to help CommBank realise the value of AI by shaping and scaling enterprise capabilities that improve how our people work and the outcomes they deliver.


As a Staff Engineer, you’ll provide technical leadership and hands-on engineering expertise to turn our enterprise AI ambitions into secure, reliable and reusable capabilities.


Working closely with product and engineering teams, you’ll help shape architecture, evaluate emerging technologies, build integrations and establish engineering patterns that take ideas from experimentation through to production.


This is an opportunity to work on complex engineering problems at enterprise scale, while staying close to the technology and influencing how AI engineering evolves across CommBank.


See yourself in our team


You’ll join a team focused on building AI capabilities that can be used and reused across the Group.


You’ll work across team boundaries, partnering with engineers, product leaders, Business Unit technology teams and control functions to connect real business problems with practical technical solutions.


In this role, you will:


  • Shape the architecture and engineering approach for enterprise AI capabilities, making pragmatic trade-offs across capability, complexity, cost, risk and maintainability.
  • Design, build and review production software, integrations and shared services, taking ownership of technically challenging problems.
  • Build reusable components, integration patterns and reference implementations that help teams adopt AI capabilities effectively at scale.
  • Evaluate AI tools, models and platforms through practical experimentation and technical due diligence.
  • Connect AI capabilities with enterprise systems and knowledge sources, designing appropriate identity, permissions and data access controls.
  • Establish repeatable approaches to evaluating AI solutions across quality, groundedness, safety, latency and cost.
  • Build secure, production-ready solutions with appropriate observability, automated delivery, operational ownership and resilience.
  • Lead technical discussions, review designs and code, mentor engineers and help raise engineering standards across teams.

We’re interested in hearing from people who:


You’re an experienced software engineer who combines deep hands-on technical capability with the ability to lead through influence. You’re comfortable taking an ambiguous problem, asking the right questions, experimenting with possible solutions and turning an idea into working software.


Experience across several of the following will set you up for success:


  • Designing, delivering and operating scalable software in complex environments, with ownership from initial design through to production.
  • Providing technical leadership across teams and influencing architecture and engineering decisions without relying on formal authority.
  • Building or integrating generative AI capabilities, including retrieval-augmented generation, enterprise assistants, tool use or agentic systems.
  • Strong programming skills in Python, TypeScript, C# or comparable modern languages, combined with experience building APIs and distributed systems.
  • Cloud engineering using AWS and/or Microsoft Azure, including modern infrastructure-as-code approaches.
  • Automated testing, CI/CD, observability, DevSecOps and production reliability.
  • Evaluating AI systems using representative tasks and evidence to understand quality, safety, failure modes, performance and cost.
  • Working directly with users, product teams and business stakeholders to turn real problems into useful technology solutions.
  • Mentoring engineers, improving engineering practices and communicating complex technical ideas clearly.

You’ll bring curiosity about emerging AI technology, sound engineering judgement and a product mindset. Just as importantly, you’ll know when a simpler solution is the right solution and be comfortable changing direction when the evidence tells you to.


Working with us


At CommBank, we value the diverse backgrounds, experiences and perspectives our people bring. We’re committed to building a respectful, inclusive and flexible workplace where you can contribute, learn and grow.

If you’re excited about this opportunity but don’t meet every requirement, we encourage you to apply. Your experience and perspective could make you a great fit for this role.



If this sounds like you, apply today.

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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Advertising End Date: 04/12/2026
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À propos de Commonwealth Bank of Australia

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive and flexible workplace. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day. Here, you’ll thrive. You’ll be supported when faced with challenges, and empowered to tackle new opportunities. We really love working here, and we think you will too.

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