Key Responsibilities & Operational Scope

• Function in a global capacity providing hands-on technical leadership role spanning business enablement, application design, data utilisation, and intelligent automation.
• Focus strategically on how data, models and systems are practically combined to deliver measurable outcomes, rather than on owning core data sourcing, engineering, or governance functions.
• Interface strategically with business leaders to identify and prioritise high-value opportunities; work closely with Engineering and control partners to establishing comprehensive technical guardrails, system observability, and risk mitigation protocols; and leading the end-to-end design, production deployment, and business value realization of enterprise-grade AI solutions.

Candidate Profile & Required Qualifications

• Extensive technical leadership experience across enterprise software engineering, distributed data architecture, or production AI engineering.
• Comprehensive architectural mastery of distributed cloud platforms, enterprise data pipelines, APIs, and modern CI/CD practices.
• Direct hands-on experience engineering and scaling production ML/LLM applications with rigorous observability and evaluation models.
• Ability to quantify business value, prioritise a portfolio of initiatives and track outcome realisation beyond the proof-of-concept stage.
• Familiarity with agentic systems, tool-calling and workflow orchestration patterns, and the control requirements needed to operate them safely in enterprise environments.
• Practical experience deploying secure, scalable architectures across AWS or Google Cloud platforms.
• Ability to identify business value, prioritise initiatives and engage effectively with senior stakeholders across business, technology, and risk functions.
• Comfortable operating in ambiguity, setting direction, and making pragmatic trade-offs to move from experimentation to durable enterprise capability.
• Experience selecting and operating across both closed and open-weight models, with sound judgment on trade-offs involving performance, cost, explainability, portability and confidentiality.
• Experience in financial services, markets, banking, trading or another regulated data and engineering environment is preferred.

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