Job Description
At IAG,wereready for you.We'rethe 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 theirambitionsand making insurance accessible.
IAGs specialist AI and engineering unit, builds advanced Machine Learning and Generative AI solutions that power ethical, automateddecisionmaking across the organisation.
As part of the AI Engineering team ,youllprovide technical leadership within crossfunctional squads, partnering with product and business leaders while guiding AI, software, and cloud engineers to deliverhighimpactsolutions.
Youlldesign, build, and productionise AI and ML systemsowning deployment, monitoring, and optimisationand lead the development of Generative AI solutions , from LLM integration and prompt engineering (RAG,ReAct) to finetuning specialised models.
This is ahands-onleadership role for someone passionate about scalable, responsible AI, continuous learning, and shaping how AI is built and used across IAG.
What You'll Do
Work with team members and stakeholders to manage AI projects from the concept stage to release.
Ownership and leading project technical scope before, during and postdelivery. Ensuring the technical scope is aligned with the project/product scope asdeterminedby the product/project manager.
Ownership of translating business requirements as raised by the stakeholders or project manager/owner into technical delivery tasks for the development team.
In conjunction with the product manager/owner or squad lead,frequentlyliaise with customers of the project/products to educate them on the technical aspects of the project/product, capture their feedback to improve the project/product.
Working closely with Developers, DevOps Engineers, Client Representatives, Client Engineers, Account Managers, Product Managers and other project stakeholders to deliver the project you are directly or indirectly associated with.
Determiningtechnical requirements and providing project estimates and timelines to the product manager or other senior stakeholders.
What You'll Bring
At least 4 years of experience in AI/ML engineering and operations
Experience and solid understanding of AI/ML in production
Strong software engineering skills in Python
Solid understanding of building data pipelines, ML pipelines, and Model Deployment frameworks, including Docker, Kubernetes, REST APIs, real-timeprocessingand cloud infrastructure
Hands-on experience in infrastructure automation and building CI/CD pipelines
Experience in working with and building ML models and ML pipelines in public cloud; GCP and/or AWS experience are highly regarded.
Experience in commercial deployment of emerging ML technologies and data analytics
Experience with ML toolkits such asKeras,Tensorflow,ScikitLearn,PyTorchor equivalent Ability to interact with engineering and data science teams on technical topics
What We Offer
Boosted superannuation with 13% as standard.
20 days annual leave + 5 daysMyLeave(extra leave forwhatsimportant to you).
Work from home and many more flexibility options withmyFlex.
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, studyassistanceand secondment opportunities.
employmenttype eligibility criteria apply
Applications close: Wednesday,15April2026 11:59PM AEDT
Please note full time, part time, and job-sharing arrangements will be considered.
Make sure to discuss your application with your current manager before applying.
Adjustments and Support
If you require any support or adjustments toparticipateequitably in our recruitment process, we encourage you to reach out to [email protected] for a confidential conversation.
IAGs specialist AI and engineering unit, builds advanced Machine Learning and Generative AI solutions that power ethical, automateddecisionmaking across the organisation.
As part of the AI Engineering team ,youllprovide technical leadership within crossfunctional squads, partnering with product and business leaders while guiding AI, software, and cloud engineers to deliverhighimpactsolutions.
Youlldesign, build, and productionise AI and ML systemsowning deployment, monitoring, and optimisationand lead the development of Generative AI solutions , from LLM integration and prompt engineering (RAG,ReAct) to finetuning specialised models.
This is ahands-onleadership role for someone passionate about scalable, responsible AI, continuous learning, and shaping how AI is built and used across IAG.
What You'll Do
Work with team members and stakeholders to manage AI projects from the concept stage to release.
Ownership and leading project technical scope before, during and postdelivery. Ensuring the technical scope is aligned with the project/product scope asdeterminedby the product/project manager.
Ownership of translating business requirements as raised by the stakeholders or project manager/owner into technical delivery tasks for the development team.
In conjunction with the product manager/owner or squad lead,frequentlyliaise with customers of the project/products to educate them on the technical aspects of the project/product, capture their feedback to improve the project/product.
Working closely with Developers, DevOps Engineers, Client Representatives, Client Engineers, Account Managers, Product Managers and other project stakeholders to deliver the project you are directly or indirectly associated with.
Determiningtechnical requirements and providing project estimates and timelines to the product manager or other senior stakeholders.
What You'll Bring
At least 4 years of experience in AI/ML engineering and operations
Experience and solid understanding of AI/ML in production
Strong software engineering skills in Python
Solid understanding of building data pipelines, ML pipelines, and Model Deployment frameworks, including Docker, Kubernetes, REST APIs, real-timeprocessingand cloud infrastructure
Hands-on experience in infrastructure automation and building CI/CD pipelines
Experience in working with and building ML models and ML pipelines in public cloud; GCP and/or AWS experience are highly regarded.
Experience in commercial deployment of emerging ML technologies and data analytics
Experience with ML toolkits such asKeras,Tensorflow,ScikitLearn,PyTorchor equivalent Ability to interact with engineering and data science teams on technical topics
What We Offer
Boosted superannuation with 13% as standard.
20 days annual leave + 5 daysMyLeave(extra leave forwhatsimportant to you).
Work from home and many more flexibility options withmyFlex.
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, studyassistanceand secondment opportunities.
employmenttype eligibility criteria apply
Applications close: Wednesday,15April2026 11:59PM AEDT
Please note full time, part time, and job-sharing arrangements will be considered.
Make sure to discuss your application with your current manager before applying.
Adjustments and Support
If you require any support or adjustments toparticipateequitably in our recruitment process, we encourage you to reach out to [email protected] for a confidential conversation.
💡 Quick Summary
Seeking a career-building opportunity? The Lead, AI Engineer position is now open for candidates interested in the Insurance sector. This role in Melbourne offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Insurance is a plus.
