Chapter Lead - Responsible AI, Agentic AI

Narooma; New South Wales; Hybrid; AUD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible work arrangements

Supportive team culture

Job summary

CommBank is seeking a Chapter Lead for Responsible AI, Agentic AI to scale advanced AI capabilities across evaluations, runtime assurance and ongoing monitoring. You will lead a data science team, collaborate with risk and engineering teams, and drive governance and risk controls for responsible AI across the Group.

You will work with risk, policy, and product teams to design, deploy, and monitor Responsible AI systems, ensuring rigorous standards and reliable outcomes.

Qualifications

• Experience leading teams in ML/AI initiatives.
• Strong statistical and ML understanding with ability to explain model behaviour.
• Hands-on production AI/ML experience including LLMs/NLP.
• Experience in risk management of AI systems.

Responsibilities

• Lead and develop a team of data scientists through coaching and collaboration.
• Lead design and implementation of evaluation and assurance capabilities for Generative and Agentic AI.
• Partner with engineering, data science, risk and policy teams to deliver Responsible AI capabilities.
• Establish executive risk reporting for Responsible AI outcomes to senior leadership.
• Apply statistical methods to complex Responsible AI challenges.
• Collaborate with data scientists and developers to identify enhancement opportunities.

Skills

Team leadership

Evaluation design

Generative AI

Agentic AI

Statistical methods

Python programming

SQL

Cloud environments

Docker

CI/CD

Git/version control

Model governance

Education

Tertiary degree in DS/Statistics/CS/Engineering/Math

Tools

AWS

Azure

Job description

Chapter Lead - Responsible AI, Agentic AI

• Scale advanced Responsible AI capabilities across evaluations, runtime assurance and ongoing monitoring, and embed them in processes and risk controls
• Solve complex challenges to influence high-priority initiatives that drive Responsible AI across the Group
• Lead a data science team and work with risk and engineering tech teams to build, deploy and manage Responsible AI capability

Do work that matters

At CommBank, we are investing in AI to create better customer experiences and meaningful value for the communities we serve. Within the Responsible AI Domain, advanced data science and risk management come together to set the direction for Responsible AI across the Group.

See yourself in our team

You will join a highly technical data science team developing and managing key Responsible AI capabilities across evaluations, runtime assurance and ongoing monitoring. The team works closely with risk and policy teams, data scientists from across the Group, engineering teams and others to ensure Responsible AI is built-in and operating seamlessly and at scale.

We value curiosity, pragmatism,inclusionand continuous improvement. We share knowledge, test emerging methodsthoughtfullyandmaintaina strong focus on outcomes and technicalquality.

We support flexible ways of working, with a balance between time in the office and remote work. Talk to us about arrangements that work for you.

Key Responsibilities

• Lead and develop a team of data scientists through coaching, knowledge sharing, technical guidance and collaboration
• Lead the design, development and implementation of world-class evaluation and assurance capabilities for Generative and Agentic AI that support data scientists across the Group
• Partner with engineering, data science, risk and policy teams in designing and delivering Responsible AI capabilities
• Partner with risk and policy teams also in building and operating formal risk controls which formalise and standardise responsible AI practises
• Establish executive risk reporting which gives appropriate visibility of responsible AI outcomes to senior leadership
• Apply statistical methods and structured problem solving to complex and ambiguous challenges in Responsible AI
• Work closely with data scientists and developers across the Group to understand requirements for Responsible AI capabilities and identify enhancement opportunities
• Keep up to date with industry developments and best practise in Generative and Agentic AI, and responsible AI
• Establish strong technical and delivery practices across data science and engineering

We’re interested in hearing from people who:

• Are experienced data science or machine learning leaders that combine their strong technical judgement with a people-first approach
• Enjoy solving complex problems, developingothersand turning emerging technologies into reliable, practical outcomes
• Communicate clearly, build trustedrelationshipsand canoperateeffectively across technical,businessand risk contexts

Technical skills and qualifications:

• Proven experience leading teams or providing significant technical leadership across machine learning, GenerativeAIor agentic AI initiatives
• A strong foundationin statistics,probabilityand machine learning, with the ability to interpret,evaluateand explain modelbehaviour
• Hands-on experience designing,developingand evaluatingproductionAI or machine learning solutions, including large language models, NLP or conversational AI
• Detailed practical experience in evaluation and managing the risk of Generative and Agentic AI systems
• Advanced Python capability, together with experience using SQL and relevant machine learning or deep learning frameworks
• Practical knowledge of cloud environments such as AWS or Azure, version control, continuous integration and delivery,containerization,monitoringand observability
• Experience applying responsible AI, model governance, riskmanagementand documentation requirements in a regulated or similarly complex environment
• Strong written and verbal communication skills, including the ability to influence senior stakeholders and explain technical decisions to varied audiences
• A tertiary qualification in Data Science, Statistics, Computer Science, Engineering,Mathematicsor a related discipline is beneficial
• Experience in software engineering is also beneficial

Working with us

At CommBank, we foster a culture of inclusion and respect, celebrating diversity across cultures, abilities, genders, gender expressions and sexual orientations.

We’re committed to making a meaningful difference for Australia’s First Nations peoples and welcome all applicants.

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