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• Ability to lead a team, including guidance, training and direction on performing appropriate risk-based model and AI validation
• Demonstrated track record of self-directed learning and rapidly acquiring new technical capabilities in a fast-evolving AI landscape.
• Demonstrated ability to lead complex validation engagements, exercise sound judgement and provide independent challenge on novel and high-impact AI use cases.
• Hands-on experience designing, developing, and evaluating AI and Generative AI solutions, including Retrieval-Augmented Generation (RAG), multi-agent systems, guardrail design, synthetic data generation, and LLM-as-a-Judge evaluation frameworks.
• Experience designing or executing AI evaluation, red-teaming, robustness testing, benchmarking or model assurance activities is highly regarded.
• Advanced Python programming skills, along with strong experience using GitHub, version control best practices, and CI/CD pipelines. Knowledge of additional languages such as SQL, R, and TypeScript is highly regarded.
• Practical experience with AI coding agents, including tools such as Claude Code and Codex, and the ability to develop and maintain skills, sub-agents, hooks, plugins for workflow automations.
• Ability to critically assess the risks, limitations, monitoring requirements and control effectiveness of agentic AI systems.
• Working knowledge of traditional machine learning models, including various regression models, random forests, Xgboost, and related model evaluation approaches.
• Strong understanding of model limitations, performance degradation, validation techniques, monitoring approaches and sources of model risk.
• Experience assessing AI systems against governance, risk management and control requirements, including human oversight, explainability, monitoring, security, resilience, data management and model lifecycle controls.
  

• 1 wellbeing leave day per year
• Up to 5 additional service bonus leave days per year
• Up to 20 weeks’ paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks’ paid leave for non-primary caregivers
• 2 days of paid volunteer leave and donation matching
• Up to 12 months’ gender affirmation leave, including 6 weeks’ paid leave
• Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
• Access to a wide range of salary packaging options
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance. 

We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.