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AI Systems Engineer @ Insurance Australia Group (IAG)

Sydney, New South WalesOnsiteFull-time
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About this role

At IAG, we’re ready for you. We're the largest general insurance group in Australia and New Zealand. Our family of brands turns the IAG purpose of making your world a safer place into action by helping everyday Aussies and New Zealanders, supporting their ambitions and making insurance accessible. Help build the AI solutions shaping the future of Claims Be part of a team transforming the way Claims works through modern AI technology. As an AI Systems Engineer, you'll design, build and support AI solutions that move beyond experimentation and into real world use. From developing intelligent systems to implementing controls and monitoring frameworks, you'll help ensure AI solutions are reliable, responsible and ready for production. If you enjoy solving technical challenges, learning quickly and seeing your work deliver meaningful impact, this is an exciting opportunity to grow your career in a rapidly evolving field. This is a permanent full-time role based in Gadigal Country (Darling Park 2, Sydney), Naarm (Melbourne) or Meanjin (Brisbane). What You'll Do • Build, test and deploy AI solutions and components that support Claims and insurance business outcomes. • Implement AI controls, monitoring and governance frameworks to support responsible and effective operation. • Collaborate with squad members, product owners and subject matter experts to design and improve solutions. • Conduct evaluations, analyse results and contribute to the continuous improvement of AI systems. • Support production readiness, operational management and ongoing maintenance of AI platforms. • Document technical decisions, configurations and outcomes to support quality and maintainability. What You'll Bring • Experience in software engineering, AI engineering or a related technical field. • Hands on experience building and deploying AI solutions in practical environments. • Understanding of AI platforms, integrations, testing and modern engineering practices. • Knowledge of AI governance, controls, monitoring or production support practices. • Strong problem solving skills and a collaborative approach to working with others. • Curiosity, adaptability and a desire to learn in a fast evolving AI environment. What We Offer • Boosted superannuation with 13% as standard. • 20 days annual leave + 5 days MyLeave (extra leave for what’s important to you). • Up to 50% off personal insurance, including home and motor insurance. • Partner discounts on private health insurance, tech & appliances, and many more. • Industry-leading 20 weeks paid parental leave. • Access to LinkedIn Learning, the award-winning IAG Academy, study assistance and secondment opportunities. *employment type eligibility criteria apply Applications close: Saturday 12 September 2026 11:59PM AEST Adjustments and Support If you require any support or adjustments to participate equitably in our recruitment process, we encourage you to reach out to [email protected] for a confidential conversation. More About Us As part of IAG you'll enjoy a world of career opportunities, a purpose-led place focused on creating connection and belonging, and where you can create meaningful impact every day and grow your career beyond the expected. That’s not just words. It’s our people promise. We're ready for you with unexpected opportunities for your career, your work-life and your ability to make a difference. We celebrate all viewpoints shaped by life experiences and culture, and are guided by the knowledge and voice of Aboriginal and Torres Strait Islander peoples, businesses, and communities. We collaborate on Indigenous-led solutions that enable growth and create meaningful change for our customers and employees.

Skills

ai solution developmentai platform deploymentai governance frameworksai controls implementationai monitoring frameworksai testingsoftware engineeringai integrationai production supportai system evaluationai system analysisai system documentationai system maintenanceai system operational managementai system quality assurance

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