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Commonwealth Bank of Australia

Principal Software Engineer, Group AI Enablement

Commonwealth Bank of Australia is hiring a Principal Software Engineer, Group AI Enablement. Level rates it ; you can apply on Commonwealth Bank of Australia.

Level's read on this job

  • Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions LangChain, LlamaIndex and RAG among its tools and skills.
  • Level classes it as a lead role.
  • Commonwealth Bank of Australia has 201 other open roles on Level.
  • Posted in the last few days.

AI in this role

LangChainLlamaIndex
ragai-safety

Principal Software Engineer | Group AI Enablement


*Sydney or Melbourne locations


  • Shape the engineering strategy behind AI capabilities that transform how CommBank works.
  • Lead complex engineering across agentic AI, RAG, cloud platforms and enterprise integrations.
  • Build secure, reliable and reusable AI foundations that scale across the Group.

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 Principal Engineer, you’ll lead the technical strategy and architectural direction for Group AI Enablement, connecting our enterprise AI ambitions with the engineering foundations needed to deliver them.


Your scope will span multiple teams, platforms and business functions. You’ll work with product leaders, Staff Engineers, technology teams and enterprise partners to establish a coherent technical direction, solve complex engineering challenges and create approaches that enable AI capabilities to scale across the Group.


You’ll remain hands-on where your expertise has the greatest impact, testing emerging technologies, building reference implementations, validating architectural decisions and solving critical production problems.


See yourself in our team


You’ll join a team focused on moving AI from experimentation to useful, secure and reliable enterprise capability.


In this role, you will:


  • Define the long-term engineering strategy and architecture for enterprise AI capabilities, balancing immediate delivery with scalability, resilience and commercial value.
  • Shape how AI models, agents, knowledge sources and business systems integrate, establishing patterns that enable security, interoperability and reuse.
  • Lead complex engineering initiatives from discovery and experimentation through to production.
  • Build reusable services, reference implementations and engineering patterns covering identity, permissions, observability and operational ownership.
  • Establish rigorous approaches to evaluating RAG and agentic systems using representative business tasks and measurable success criteria.
  • Engineer for trust by translating cyber security, privacy, risk and Responsible AI requirements into practical engineering controls.
  • Remain hands-on through prototyping, software design and review, technical investigations and resolution of critical production challenges.
  • Mentor senior technical practitioners and influence engineering decisions across organisational boundaries.

We’re interested in hearing from people who:


You’re an experienced engineering leader who combines strong architectural judgement with deep hands-on software engineering capability. You can move comfortably between strategic technical decisions and implementation detail, navigate ambiguity and bring multiple teams together around a clear engineering direction.


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


  • Leading complex engineering initiatives across multiple teams, platforms and stakeholders.
  • Designing distributed, cloud-native systems and enterprise integration patterns, with strong AWS and/or Microsoft Azure experience.
  • Building retrieval-augmented generation solutions using LlamaIndex, LangChain or comparable frameworks, including ingestion, retrieval, grounding, permissions and evaluation.
  • Designing or building agentic systems involving tool use, orchestration, state management, human approval and failure recovery.
  • Strong software engineering capability using Python, TypeScript, C# or comparable modern languages.
  • DevSecOps, infrastructure as code, automated testing, CI/CD, observability and operational resilience.
  • Evaluating AI systems across quality, safety, latency, reliability and cost.
  • Working with product and business stakeholders to connect engineering decisions with measurable customer, employee or productivity outcomes.
  • Influencing senior stakeholders and mentoring experienced engineers without relying on formal authority.

A curiosity for emerging AI technology and a practical approach to experimentation will be important. You’ll be comfortable testing new technologies, understanding their limitations and determining what is genuinely ready for enterprise-scale use.


Working with us


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 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.

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.

Advertising End Date: 27/11/2026

How we rate this

Principal Software Engineer, Group AI Enablement at Commonwealth Bank of Australia rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

RAGAI SafetyLangChainLlamaIndex

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. What are the limits of LangChain that you've run into, and how did you work around them?
  4. What's a project where you used LlamaIndex hands-on?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: RAG, AI Safety, LangChain, and LlamaIndex. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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