Drive Gen AI engineering capability and technical skill uplift.
Partner with Technology Product Owners, Principal Engineers and senior stakeholders.
Support engineers working across multiple squads and priorities.
Drive continuous improvement and engineering excellence.
Maintain sufficient technical depth to engage directly with complex engineering problems and, where required, dive into code.
Your Reporting Lines
Direct line reporting into the Engineering General Manager/CAL, Gen AI, India.
Your Team and Responsibilities
Collaborate & Partner
Collaborate with Technology Product Owners across squads to achieve Squad and Chapter goals.
Cultivate key internal and external partnerships.
Act as a key liaison between support and cross-functional teams across Australia and India.
Partner with Squads and Centre of Excellence leads to determine skill and capability requirements.
Support sustainable resourcing and capability planning across Gen AI teams.
Work effectively across Engineering, Architecture, Data, AI and Product disciplines.
Drive & Execute Strategy
Elevate engineering craft capabilities across the portfolio to accelerate Gen AI delivery.
Drive a strong technology culture of continuous improvement.
Support workforce planning and movement of engineering talent across squads.
Help squads identify the right technical skills and capabilities.
Bring demonstrable software development experience and technical credibility.
Be willing to engage deeply with technical challenges and dive into code where required.
Demonstrate a strong understanding of software design and the Software Development Lifecycle.
Stay current with emerging technologies, Generative AI capabilities and engineering methodologies.
Lead & Drive Cultural Change
Build an Engineering Mindset and AI-First Mindset across teams.
Inspire teams through a collaborative and positive leadership style.
Develop a high-performing engineering culture aligned with CommBank values.
Drive a one-team culture across Engineering and other technical disciplines.
Encourage knowledge sharing and adoption of engineering best practices.
Design and implement accredited learning pathways, reskilling initiatives and talent transformation programs.
Build technical academies that enable people to upskill and become proficient across multiple technologies and capabilities.
Take accountability for the development, performance management and career progression of technology professionals.
Drive a Risk Mindset
Build collaborative relationships with stakeholders to identify risks early.
Ensure technology and Gen AI risks are managed effectively and in a timely manner.
Role-model exceptional risk behaviours.
Embed a strong risk culture across engineering teams.
Promote secure, responsible and compliant adoption of Generative AI within a regulated banking environment.
Your Skills & Experience
Minimum 12–14 years of relevant technology experience.
Minimum 5+ years of experience in a core technology organisation or Banking environment.
Proven track record of building and leading teams of engineering professionals.
Strong People Management and Engineering Leadership experience, beyond Project or Program Management.
Strong stakeholder management capabilities.
Technology delivery expertise combined with strong technical depth.
Demonstrable software engineering/development experience.
Strong understanding of software architecture, design and SDLC.
Experience operating effectively within cross-functional teams.
Strong communication, influencing and negotiation skills.
Ability to solicit opinions, receive feedback and influence senior stakeholders.
Strong written documentation and technical specification skills.
Excellent problem-solving skills with the ability to develop creative solutions to complex problems.
Strong cross-cultural communication skills and experience collaborating across locations and time zones.
Ability to thrive in a high-ambiguity and rapidly evolving technology environment.
Technical Capabilities
Experience across one or more of the following
Generative AI
Gen AI Adoption
Prompt Engineering
Knowledge Engineering
Platform Engineering
Architecture
AI / Machine Learning
Data Engineering / Data Science
Exposure to relevant technologies and capabilities including
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI frameworks
LangChain
Semantic Kernel
LLM fine-tuning
Machine Learning
Vector databases
Graph databases
SQL databases
Python
TypeScript
C#
AWS
Azure
Cloud Solution Architecture and Development
Infrastructure as Code (IaC)
Cloud Security
Secure Coding
Non-deterministic automated testing
System Reliability Engineering
Customer engagement systems
Workflow platforms
Your Capability
Customer Focus
Create value in each customer interaction while maintaining a strong focus on the total customer experience.
Team and Culture
Inspire others to demonstrate CommBank values and build passionate, collaborative and high-performing teams.
Continuous Improvement
Continuously improve and innovate engineering practices, platforms and ways of working.
Effective Communication
Communicate clearly and with impact to build understanding, engagement and commitment to action.
Judgement
Apply technical, organisational, industry and risk knowledge to make effective decisions.
Drive Results
Take ownership, initiate action and remain accountable for achieving technology and business outcomes.
Education
Bachelor’s degree in engineering or master’s degree in computer science.
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: 29/11/2026
