Commonwealth Bank of Australia
Expression of Interest - Software Engineering, AI Venturing Pod
Commonwealth Bank of Australia is hiring an Expression of Interest - Software Engineering, AI Venturing Pod for a remote role open to applicants in Australia. Level rates it ; you can apply on Commonwealth Bank of Australia.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions Coding Agents, AI agents and AI automation among its tools and skills.
- Commonwealth Bank of Australia has 186 other open roles on Level.
- Posted in the last few days.
AI in this role
Ship AI-powered products and agentic workflows across a portfolio of ventures as a senior software engineer in the AI Venturing Pod.
Software Engineer - AI Venturing - x15ventures (Senior/ Staff or Principal)
Ship AI-powered products across a portfolio of ventures.
A bit about us
x15ventures is CommBank’s venture-building arm. Our AI Venturing team brings product judgement and deep engineering to focused missions across the portfolio, turning hard venture problems and emerging AI capabilities into products people use.
One mission might be to build an AI-native customer operations capability that adapts to different venture contexts and requirements, then scales across the portfolio. The next might redesign an operational workflow around intelligent automation, or ship an agentic feature that materially changes how customers use a venture’s product. You’ll adapt quickly to different products, codebases, technology stacks and commercial contexts.
This is product engineering with unusual scope. You’ll help identify which problems matter, own the journey from discovery to production, and stay accountable for measuring and improving real-world outcomes.
Reporting to the Chief Venturing Officer, you’ll work with venture and x15 leaders to identify where strong product engineering and emerging AI capabilities can create the most value.
What you'll do
- Own the outcome, end to end. Take ambiguous customer and venture problems through discovery, prototyping, production, measurement and iteration.
- Take on focused missions across the portfolio. Move between ventures at different stages of maturity, adapting to each context while delivering in close collaboration with the venture – some will advance a venture’s critical path; others will explore what could shape its future.
- Extend x15’s AI-native engineering capability. Use coding agents and AI-enabled workflows to improve development speed, testing, iteration and software quality; turn what works into repeatable practices that strengthen the portfolio and can inform how x15 and CommBank engineers build with AI.
- Build AI products that hold up in the real world. Design, evaluate and operate systems using the right mix of models, agents, tools and deterministic software. Make explicit trade-offs across accuracy, latency, cost, reliability, security and control.
- Make modern AI work in a high-trust environment. Design for sensitive data, existing platforms and complex integrations, with security, privacy, testing, observability and appropriate controls built in from the outset.
- Turn experimentation into evidence. Work with product, design, venture leaders and customers to test assumptions, evaluate outcomes and decide what warrants further investment.
- Build shared product and platform foundations where they create real leverage. Develop reusable AI services, integration patterns and architecture that help multiple ventures move faster or operate more safely, without forcing reuse where venture needs differ.
You might thrive here if you
- Have repeatedly shipped significant software products and can explain your personal technical, product and delivery contribution.
- Can work hands-on across the full stack and become effective quickly in unfamiliar products, codebases and technology stacks.
- Show strong product judgement. You find the underlying problem, challenge assumptions and make sensible trade-offs between customer value, commercial value, complexity and speed.
- Use AI-assisted development as a core part of your engineering practice, and understand how to build and evaluate AI-powered systems without being tied to a particular framework.
- Know the difference between a clever prototype and a dependable product. You use AI where it creates measurable value and choose a simpler or deterministic approach when it is better.
- Navigate security, privacy, risk, legal, platform and organisational constraints pragmatically, working with specialists to resolve issues and keep delivery moving.
- Hold strong technical opinions loosely. You explain trade-offs, challenge approaches constructively and change your mind when the evidence warrants it.
- Adapt across ventures, domains and technical environments while carrying useful lessons and capabilities into the next mission.
We’ll hire at the level that matches demonstrated experience, scope and impact. Senior engineers independently own complex product builds end to end. Staff engineers lead technically ambiguous initiatives and create leverage across teams and ventures. Principal engineers shape portfolio-level technical direction and tackle difficult cross-venture engineering problems. Every level stays hands-on and close to the code.
Experience we'd value
We’re looking for exceptional product engineers first. Depth in one or more of these areas will help you contribute quickly:
- Building and evaluating AI-powered applications using models, tool use, retrieval, agentic workflows and appropriate evaluation techniques.
- Designing and operating cloud-native applications, APIs and integration-heavy systems.
- Building secure, high-trust products in financial services, fintech, healthtech or other regulated environments.
- Working in startups, venture studios or product teams where rapid experimentation and production delivery go hand in hand.
Why x15?
The difference is the combination: frontier AI work, focused venture missions and a path to production, backed by CommBank’s reach and real-world complexity.
You’ll have direct access to venture and x15 leaders, and enough proximity to the decisions for your technical judgement to materially influence what progresses and how it is built.
We value curiosity, craft, pace and good judgement. We try things, challenge each other without the theatre and take responsibility for software that works.
If you’re a hands-on product engineer who wants to work at the edge of AI, move across ambitious ventures and turn difficult problems into reliable products, we’d like to hear from you.
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: 09/11/2026How we rate this
Expression of Interest - Software Engineering, AI Venturing Pod at Commonwealth Bank of Australia rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where ai product development was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Automation, AI Product Development, Machine learning, and Software Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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