Principal AI Engineer
Sydney | Hybrid | Full-Time | Permanent
We’re working with a high-performing insurance company that’s scaling their AI capability across the business—and they’re searching for a Principal AI Engineer to lead the charge.
This is a rare opportunity to step into a technical leadership role where you’ll set the direction for AI engineering, guide a team of smart, driven engineers, and architect enterprise-scale solutions using ML, GenAI, and LLMs.
If you're ready to own strategy, design, delivery, and influence across teams—with the freedom to innovate and build at scale—this could be your next move.
Why You’ll Love This Role – the Benefits
- 12.5% performance bonus – your leadership and results are valued
- $600 annual wellbeing allowance – use it for the gym, sports, or self-care
- Birthday leave – take the day off, no questions asked
- Volunteer day – paid time to give back to causes that matter to you
- CEO Sleepout involvement – contribute to social impact in a meaningful way
- Real L&D investment – upskill, reskill, and grow internally
- Creative control – define architecture, influence standards, and lead innovation
- Not just a people manager – stay hands-on and deeply technical
- Work across the business – partner with data, engineering, product, and exec teams
What You’ll Do
- Lead the design and delivery of enterprise-grade AI/ML systems
- Set the technical vision for AI engineering across products and platforms
- Architect scalable, production-ready AI solutions integrated into core applications
- Guide engineering best practices around MLOps, CI/CD, code quality, and testing
- Drive automation across data pipelines, model lifecycle, and business workflows
- Champion responsible AI practices including fairness, performance, and explainability
- Mentor and upskill engineers, building strong internal capability
- Stay across the latest tools, frameworks, and GenAI/LLM developments
What You’ll Bring
- 8–10+ years of software engineering experience, including 4+ years in AI/ML delivery
- Deep knowledge of software design patterns, scalable architectures, and testing strategies
- Proven experience deploying AI/ML models in production (model serving, monitoring, lifecycle mgmt)
- Hands-on with GenAI / LLMs, and experience on AWS (e.g., Bedrock, SageMaker)
- Strong grasp of MLOps, DevOps, CI/CD pipelines, and data infrastructure
- Clear leadership ability—mentoring, guiding, and enabling technical teams
- Understanding of AI risk, governance, bias, and explainability
- Bonus: Open-source contributions or community involvement in the AI/ML space
If you’re a senior engineer or tech lead ready to shape AI strategy while staying hands-on, this role offers you the autonomy, impact, and backing to do it right.
Apply now or reach out to [email protected] for a confidential chat.
