Principal AI Platform Engineer

Posted Yesterday
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Sydney, New South Wales, AUS
Hybrid
Senior level
Information Technology • Marketing Tech • Transportation • Travel • Financial Services
The Role
Build and operate Qantas’s enterprise AI platform as a product, enabling self-service onboarding, deployment, monitoring, governance, security, and cost transparency for AI workloads. Lead technical design and engineering standards while writing production code, infrastructure as code, CI/CD pipelines, and MLOps capabilities across AWS SageMaker and Bedrock. Partner cross-functionally, translate architecture into implementation plans, mentor engineers, and deliver secure, observable, reproducible, and responsible AI platform capabilities.
Summary Generated by Built In
Company Description

Founded in the Queensland outback in 1920, Qantas has grown to be Australia’s largest regional, domestic, and international airline. Qantas has a range of subsidiary businesses that support the overall operations of the Group. The Qantas Group’s main business is the transportation of customers and freight using two complementary airline brands — Qantas and Jetstar — operating regional, domestic, and international services.

Job Description

  • Great opportunity to add significant value to Technology, AI & Transformation for the Qantas Group!
  • Permanent opportunity based at our Mascot office (hybrid working available)
  • Staff Travel Benefits from Day One

At Qantas, we represent Australia to the world. Our diverse country is known for its unique spirit, mateship, and a can-do attitude. Together we’re strong and resilient, and we work hard to make sure we’re always at our best.

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. Success is measured by adoption and by how rarely teams need you. 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. It's also a hands-on role: 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.

What you will bring:

  • 8+ years designing, building and operating scalable data and AI/ML platforms in large enterprise environments, including demonstrated technical leadership on complex platform initiatives
  • · Bachelor's degree or higher in computer science, software engineering, data science or a related field
  • Deep hands-on cloud-native engineering on AWS, including SageMaker, Bedrock, S3, IAM and related DevOps tooling, with Python, infrastructure as code (Terraform or CloudFormation) and CI/CD pipelines
  • Proven experience designing, implementing and managing secure, governed and cost-optimised AI/ML platforms, with a strong understanding of enterprise security, monitoring and access control frameworks
  • Experience establishing platform engineering practices and standards within an enterprise architecture and governance framework: defining patterns, creating reusable templates and building developer experience tooling
  • Hands-on production MLOps capability (pipelines, model registry, feature and artefact management, serving, monitoring) and GenAI capability (prompt engineering, LLM orchestration, RAG, evaluation, guardrails)
  • Platform as a product mindset: self-service, golden paths, guardrails over gatekeeping, and treating internal engineers as customers
  • Able to translate high-level architecture and product requirements into detailed technical designs, implementation plans and actionable backlog items
  • Excellent written and verbal communication skills, able to communicate highly technical information to non-technical stakeholders and influence without authority in a highly matrixed organisation
  • Track record of delivering complex technical initiatives with a high degree of autonomy, while mentoring and uplifting team capability, navigating ambiguity, shifting priorities and operational dependencies

Why Qantas?

You’ll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully.

There are many different opportunities across our team, which means you’ll be able to grow both personally and professionally at Qantas. Your development is a priority for us – so that you can maintain the high standards our customers have come to expect and can continue to develop over time. You’ll be supported from day 1 with on-the-job training and coaching as well as our formal training opportunities. While you may start in this role, we’ve got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.

The Qantas employee benefits program offers amazing benefits that extend well beyond travel:

  • We love to travel: Enjoy heavily discounted air travel within Australia and across the globe, both for you and your family and friends, as well as exclusive deals on accommodation and holidays.
  • We have flexible leave options: Make use of leave and flexible working opportunities including 18 weeks paid parental leave (plus superannuation payments on all paid and unpaid parental leave until your child turns 1) and additional purchased leave options for eligible employees.
  • We’ll give you access to thousands of rewards: Through our partnerships we can offer you discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment. You can also take advantage of our salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships.

· We’ll support your wellbeing: Whether it’s learning to better support your own and others’ mental health, our interactive wellbeing app or your very own tailored nutrition plan.

Qantas is an Equal Opportunity Employer, so by coming to work for us, you’ll be part of an organisation that encourages diversity, supports charities and environmental initiatives. We encourage Aboriginal and Torres Strait Islander – and people from every other kind of background – to apply.

We are committed to creating an inclusive workplace. Talk to us about how this job could be flexible for you.

Applications close: 16 October 2026

Skills Required

  • 8+ years designing, building, and operating scalable data and AI/ML platforms in large enterprise environments, including technical leadership on complex platform initiatives
  • Bachelor’s degree or higher in computer science, software engineering, data science, or a related field
  • Deep hands-on AWS cloud-native engineering experience, including SageMaker, Bedrock, S3, IAM, Python, infrastructure as code using Terraform or CloudFormation, and CI/CD pipelines
  • Experience designing and managing secure, governed, and cost-optimized AI/ML platforms
  • Understanding of enterprise security, monitoring, and access control frameworks
  • Experience establishing platform engineering practices and standards within enterprise architecture and governance frameworks
  • Experience defining engineering patterns, reusable templates, and developer experience tooling
  • Hands-on production MLOps experience with pipelines, model registries, feature and artifact management, serving, and monitoring
  • Generative AI experience including prompt engineering, LLM orchestration, RAG, evaluation, and guardrails
  • Platform-as-a-product mindset focused on self-service, golden paths, guardrails, and internal engineer customers
  • Ability to translate architecture and product requirements into technical designs, implementation plans, and backlog items
  • Excellent written and verbal communication skills, including explaining technical information to non-technical stakeholders and influencing without authority
  • Track record of delivering complex technical initiatives autonomously while mentoring engineers and navigating ambiguity, shifting priorities, and operational dependencies

Qantas Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qantas and has not been reviewed or approved by Qantas.

  • Wellbeing & Lifestyle Benefits — Travel benefits are considered a standout, including heavily discounted standby flights and broad partner discounts across shopping, insurance, and leisure. Access to a discounted national gym network and a confidential assistance program reinforces lifestyle and wellbeing support.
  • Parental & Family Support — Parental leave provisions include extended paid leave for primary and secondary carers, with superannuation continuing during paid or unpaid leave. Family-oriented programs and structured support for transitions strengthen the overall family benefits.
  • Career-Linked Recognition & Rewards — Recognition and rewards include one-off performance bonuses, an ongoing employee share plan tied to company results, and internal programs that convert recognition into travel credits and perks. These mechanisms provide tangible rewards connected to contribution and business outcomes.

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The Company
HQ: Mascot, New South Wales
17,283 Employees
Year Founded: 1920

What We Do

We would like to acknowledge the Traditional Custodians of the local lands and waterways on which we live, work and fly. We pay our respects to Elders past and present. Spirit is everything to us, and joining the Qantas team means bringing your spirit to ours. We have over 26,000 exceptional employees, and every year we fly millions of customers around Australia and the world – together. If you hop on board with the team, you'll experience a workplace where creativity, diversity and innovation are encouraged. We aim to give every member of the Qantas Group the support to follow their dreams, face new challenges, and let their future take flight. Ultimately, people are our priority – those who work for us and those who travel with us. For the latest information on the cyber incident: https://bit.ly/3I7jNfM Member of the oneworld Alliance. Please read the Qantas LinkedIn House Rules at http://bit.ly/QFhouserules

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