Are you ready to be part of an organisation that values expertise, passion and diversity?
At CFS we know that the foundation of our success lies in our exceptional people.
We believe in celebrating individuality, have a passion for high performance and creating an workplace where you can unleash your full potential.
Our people enable us to make a difference and deliver exceptional experiences to help our customers achieve financial freedom.
Your Team
As the Director AI Controls Engineering Lead, you will be responsible for translating AI (including GenAI and Machine Learning) governance, risk and policy requirements into operational controls and enterprise platforms.
You will design, build and operate the central control, monitoring, evaluation and assurance infrastructure that enables AI to scale safely, consistently and transparently across CFS.
Acting as the bridge between governance and engineering, you will provide the shared capabilities and control patterns consumed by federated delivery teams.
Your Responsibilities
Lead the design and operation of the enterprise AI control plane, including policy enforcement, approvals, guardrails, auditability and control automation.
Establish enterprise observability, monitoring and telemetry capabilities, providing visibility of model performance, operational health, risk indicators and control effectiveness.
Build and operate AI evaluation, testing and assurance platforms,



including capabilities for model validation, performance monitoring, explainability, groundedness, fairness and ongoing assurance.
Establish the infrastructure required for continuous third and fourth-party AI oversight, including monitoring of dependencies, model changes, concentration risk and operational resilience in line with regulatory expectations.
Provide common monitoring, assurance, reporting and evidence-generation capabilities across both internal and external AI solutions.
Define reusable control patterns, reference architectures, engineering standards and implementation guidance for enterprise adoption.
Partner with Risk, Compliance, Legal, Data Science and Architecture teams to translate governance requirements into practical engineering controls.
Enable federated engineering and delivery teams through shared platforms, services and guardrails that reduce duplication and improve consistency.
Your Capability and Experience
Solid experience in spanning software engineering, platform engineering, AI (including GenAI and Machine Learning), model operations, technology risk or technology delivery within large enterprise environments.
Proven experience in designing, building or operating AI platforms, model governance capabilities, monitoring frameworks or enterprise control platforms in production environments.
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📌 Director, Ai Controls Engineering - Colonial First State (Sydney)
🏢 OpenTalent
📍 Sydney