Chapter Lead, Responsible AI & Generative AI

Commonwealth Bank; Sydney; Hybrid; AUD 220,000 - 300,000; Full time

Job summary

Commonwealth Bank is seeking a Chapter Lead for Responsible AI to guide a specialist data science chapter focused on Generative and Agentic AI. You will shape technical direction, deliver capabilities used across the Group, and collaborate with risk, engineering and policy teams to embed Responsible AI in processes and risk controls.

This hands-on leadership role involves moving ideas from ambiguity to build, test and delivery, enabling AI developers to put Responsible AI into practice at scale

Qualifications

• Experience leading teams or significant technical leadership across ML/Generative AI or agentic AI initiatives.
• Strong foundation in statistics, probability and ML with ability to interpret and explain model behaviour.
• Hands-on experience designing, developing and evaluating production AI/ML solutions including LLMs, NLP or conversational AI.

Responsibilities

• Lead and develop a team of data scientists through coaching and collaboration.
• Design, develop and implement evaluation and assurance capabilities for Generative and Agentic AI across the Group.
• Partner with engineering, risk and policy teams to deliver Responsible AI capabilities and formal risk controls.
• Establish executive risk reporting for Responsible AI outcomes to senior leadership.
• Apply statistical methods and structured problem solving to complex Responsible AI challenges.
• Maintain up-to-date understanding of Generative and Agentic AI developments and best practices.

Skills

Leadership

Communication

Statistics

Production ML

Cloud experience

Education

Tertiary qualification in Data Science, Statistics, CS, Engineering, Maths or related

Tools

Python

SQL

ML frameworks

AWS/Azure

CI/CD / Docker

Job description

Commonwealth Bank is seeking a Chapter Lead for Responsible AI to guide a specialist data science chapter focused on Generative and Agentic AI. You will shape technical direction, deliver capabilities used across the Group, and collaborate with risk, engineering and policy teams to embed Responsible AI in processes and risk controls.

This hands-on leadership role involves moving ideas from ambiguity to build, test and delivery, enabling AI developers to put Responsible AI into practice at scale