At IAG, we’re ready for you. We're the largest general insurance group in Australia and Current 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.
Design and prove AI systems that improve how insurance works.
As a Senior AI Systems Engineer, you'll join a new, greenfield team that sits between the business and core engineering. You'll partner closely with claims experts to understand their problems and pain points, work out where agentic AI genuinely helps, and define and prove what those systems should do before they're built to enterprise standard.
Your early focus is claims, where you'll work on a broad range of opportunities to improve customer outcomes and help claims operations work more effectively at scale.
You'll work in multidisciplinary squads with business subject matter experts, product leads, technology leads, architects and production engineers. Your primary focus will be discovery, definition and evaluation, while working closely with engineering partners as solutions move through hardening, integration, production and post-launch improvement. Our delivery model is new and still evolving, so we're looking for someone who enjoys shaping how the work gets done.
This is a permanent full-time role based in Gadigal Country (Darling Park 2, Sydney), Naarm (Melbourne) or Meanjin (Brisbane).
What You'll Do
- Partner with business subject matter experts and product leads to understand workflows, rules, exceptions and decision points. Help assess where agentic AI fits, and where rules, process change or simpler automation would work better.
- Rapidly prototype AI agents and run showcases and workshops with subject matter experts, iterating quickly on their feedback.
- Shape agent behaviour, decision points, autonomy boundaries and human-in-the-loop controls, and capture them as clear, testable specifications.
- Capture business, policy and regulatory knowledge in structured,
reusable sources of truth that AI systems can rely on.
- Build runnable evaluation suites, including golden datasets, thresholds, deterministic tests and LLM-as-a-judge, and maintain prompt and decision registers for traceability.
- Work alongside production engineering teams through hardening and integration, sharing specifications, knowledge, evaluations and working code so behaviour stays consistent from prototype to production.
- Contribute to post-launch monitoring, track and correct drift through evaluations, and keep business and regulatory context current.
- Mentor engineers, review designs and code, and contribute reusable patterns across the organisation.
What You'll Bring
- 5+ years in AI or machine learning engineering, software engineering, data science, actuarial or another quantitative technical discipline, with recent hands-on experience building with large language models.
- A track record of rapid prototyping with business users, plus involvement in at least one AI system that reached real users in production.
- A business and problem-solving mindset. You draw out what domain experts know, turn their feedback into system changes, and can tell when AI is the right answer and when it is not.
- Practical depth in LLM and agent design, including context engineering, retrieval-augmented generation, tool use, structured outputs, orchestration and combining model reasoning with deterministic rules.
- Hands-on experience writing evaluations as code, including golden datasets, thresholds, deterministic tests, LLM-as-a-judge and regression testing after prompt or model changes.
- Solid coding foundations in Python, version control and testing,
and fluent use of AI coding tools with the discipline to verify their output.
- Production literacy. You understand what hardening, integration, security, performance and monitoring involve, and design with them in mind.
- Ability to design AI for regulated or customer-impacting settings, with human accountability, explainability, auditability, privacy and escalation built in.
- Experience mentoring engineers and reviewing designs and code, and comfort shaping ways of working in a team that's still evolving.
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: Wednesday 18 November 2026 11:59PM AEDT
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.
📌 Senior AI Systems Engineer (Melbourne)
🏢 Iag
📍 Melbourne