Principal AI Platform Engineer

Qantas is an Australian airline group operating regional, domestic, and international transportation services. The Principal AI Platform Engineer will build and operationalize a secure, self-service AI platform for data scientists, ML engineers, and application teams, while owning technical design, engineering standards, production code, infrastructure, and CI/CD. The role also provides technical leadership, mentoring, observability, cost transparency, and responsible AI controls.

Responsibilities:

• As the Principal AI Platform Engineer you'll be part of the team building the AI platform that the rest of the Group builds on
• That means treating the platform as a product and the engineers who use it as your customers: paved paths that make the right way the easy way, self-service onboarding, and guardrails and guidance instead of gatekeeping
• Data scientists, ML engineers and application teams should be able to onboard, build, deploy and operate their own AI workloads in production without platform team intervention
• You'll be the senior technical voice in the squad
• You'll own the technical design of the platform, set the engineering standards and patterns the team builds to, and lift the capability of the engineers around you through design review, pairing and mentoring
• You'll be writing production code, building infrastructure as code and CI/CD pipelines, and operationalising the platform on AWS SageMaker and Bedrock, working alongside the team rather than directing delivery from a distance
• You'll make the platform secure, observable, reproducible and cost-transparent, so teams can see their own consumption and troubleshoot their own workloads, with responsible AI, privacy and security controls built in from the start rather than bolted on
• You'll work in a small cross-functional squad led by a Product Owner, partnering with the AI Solution Architect, Cloud Engineer and AI Platform Engineers