Senior AI Platform Engineer: Self-Service, Secure & Scalable

Qantas Airways; Sydney; Hybrid; AUD 210,000 - 290,000; Full time

Benefits offered by this job

Staff Travel Benefits from Day One

Job summary

Qantas Airways seeks a Principal AI Platform Engineer to own the technical design of a scalable AI platform used across the Group. You will write production code, build infrastructure as code, and deploy CI/CD pipelines, ensuring secure, observable, and cost-aware operations.

You will lead and mentor engineers, set standards, and collaborate with data scientists, ML engineers and solution architects to enable self-service onboarding and guardrails. This is a hybrid role based in Mascot.

Qualifications

• 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

Responsibilities

• Own the technical design of the AI platform and set engineering standards
• Write production code and build infrastructure as code and CI/CD pipelines
• Operationalise the platform on AWS SageMaker and Bedrock with the team
• Ensure security, observability, cost transparency and governance from day one

Skills

Platform leadership

Cloud-native engineering

MLOps

Communication

Architecture design

Mentoring

Product mindset

Backlog management

Stakeholder influence

Autonomy

Education

Bachelor's degree or higher in CS/SE/Data Science

Tools

AWS SageMaker

Bedrock

Terraform

CloudFormation

CI/CD tooling

Job description

Qantas Airways seeks a Principal AI Platform Engineer to own the technical design of a scalable AI platform used across the Group. You will write production code, build infrastructure as code, and deploy CI/CD pipelines, ensuring secure, observable, and cost-aware operations.

You will lead and mentor engineers, set standards, and collaborate with data scientists, ML engineers and solution architects to enable self-service onboarding and guardrails. This is a hybrid role based in Mascot.