Chapter Lead - AI - Home Buying at Commonwealth Bank

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

0.0

Posted On

03 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Leadership, Generative AI, Agentic AI, Machine Learning, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Python, PyTorch, TensorFlow, Spark, SQL, CI/CD, Docker, Cloud Architecture

Industry

Financial Services

Description

We look forward to welcoming a technical leader who will drive impactful projects, lead and mentor a team of Data Scientists, harness cutting-edge AI technologies and pioneer innovative practices that benefit not only CommBank but the banking industry as a whole. See yourself in our team: At CBA we have an ambitious goal of leading the way in changing the world through AI. With great buy-in from all senior leadership, we have embarked on world first initiatives to deliver exceptional experiences to our customers. In Retail Banking Services (RBS), as the largest and customer facing part of the bank, we play a unique role in bringing this vision to life and build a brighter future for all Australians. The opportunity: Reporting to the Home Buying Chapter Area Lead, you will deliver high priority initiatives across RBS. You will lead the delivery of world-class AI capabilities across RBS that will also build capabilities for the rest of CBA. You will be responsible for cutting edge initiatives in agentic AI, GenAI, and broader AI. Our strategic focus lies in delighting our customers at every touchpoint, offering outstanding service, and meet the needs of our customers. Why CommBank? CommBank is leading the world of banking by venturing into new-to-the-world innovations. We're on the cutting edge, embracing AI technologies to reshape how we operate and serve our customers. When you join CommBank, you’re joining a team that values expertise and innovation, and you’ll be empowered to lead projects that push the boundaries of what's possible. Key Responsibilities: · Lead GenAI and Agentic system design and development: Drive the expansion and adoption of Generative AI solutions across RBS, optimising our product offerings through design and implementation of advanced Gen AI capabilities and agentic AI systems. · Develop and implement Machine Learning Models: Lead the overhaul of various machine learning models, enabling to drive strategic business outcome for various stakeholders. · Expand Data/AI Science Usage: Identify AI opportunities and embed these methodologies into a broader range of activities across the banking landscape · Drive Continuous Improvement and Business Outcomes: work closely with business stakeholder to pioneer adoption and application of cutting edge AI and Gen AI capabilities and paving the path for how the bank will operate to towards the vision of re-imagined banking and customer service. We’re interested in hearing from people with the following skills. · Technical Leadership and Coordination: o Ability to coordinate effectively across the Data Science community to unify efforts and drive collaborative outcomes. o Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group. o Intellectual curiosity and ability and willingness to learn, experiment and lead new to the world concepts Technical Skills and Tools: o Machine Learning: Expertise in the design and construction of machine learning models, including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of predictive models into production environments. o Generative AI: Familiarity with various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, and tools such as LangChain and LangGraph. o Cutting-Edge AI: Work on projects leveraging traditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future. o Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub. o Tooling: Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL. o Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration. o Deployment: Familiar with Docker for containerization and deployment of applications. o Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions. 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: 16/07/2026 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.

Responsibilities

Lead the design and development of Generative AI and agentic systems to optimize product offerings within Retail Banking Services. Drive the overhaul of machine learning models and identify new AI opportunities to reimagine banking and customer service.