Key Responsibilities & Operational Scope

• Lead and steer independent validation of complex AI use cases used across a wide range of business operations, forming independent risk opinions and providing credible challenge to senior business, engineering and governance stakeholders.
• Your work will assess whether AI systems are fit for purpose, operate as intended and ensure that the risks introduced are understood, appropriately controlled, and remain within the the organization’s risk appetite.
• Throughout your role, you will provide coaching and mentorship to junior team members, helping to build technical capability in AI risk and validation.
• Additionally lead and manage AI validation engagements from planning through execution, coordinating stakeholders and ensuring timely delivery of high-quality validation outcomes.
• Execute and drive independently assess AI systems, evaluation methodologies, monitoring frameworks and control environments, forming evidence-based opinions on the effectiveness of risk management and controls.
• In addition, you will contribute to the establishment and continuous improvement of AI validation methodologies, standards, tools and practices, helping to build a scalable and effective validation function that keeps pace with evolving AI technologies and risks.
• Execute and drive help shape the firm's approach to independent AI assurance, including validation methodologies for generative AI, agentic AI systems, foundation models, AI observability and emerging AI technologies.

Candidate Profile & Required Qualifications

• Ability to lead a team, including guidance, training and direction on performing appropriate risk-based model and AI validation.
• Track record of self-directed learning and rapidly acquiring new technical capabilities in a fast-evolving AI landscape.
• 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.
• 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.

What Macquarie Offers

• Market-Leading Rewards: Competitive base remuneration supplemented by performance-linked incentive programs.
• Flexible Work Frameworks: Modern hybrid working arrangements supporting professional productivity and personal balance.
• Professional Development: Clear internal mobility pathways, technical skill enhancement, and professional accreditation support.
• Comprehensive Wellbeing: Access to employee assistance programs, holistic healthcare coverage, and dedicated wellbeing initiatives.
• Global Network & Impact: Collaborative engagement with cross-border teams across the Americas, EMEA, and Asia-Pacific regions.

Core Competencies & Key Technical Focus