AI Cloud Engineer

Talent; City of Melbourne; Hybrid; AUD 120,000 - 180,000; Full time

Job summary

Talent in Australia is seeking an experienced AI/ML Platform Engineer to design, build and operate AI environments across on-premises, cloud and hybrid platforms, enabling secure, reliable AI capabilities for government services.

You will develop software, APIs and automation, create deployment pipelines with code, and apply security controls across containers, networks and data. The role requires strong Kubernetes, cloud experience (AWS/Azure), Python and IaC skills.

Qualifications

• Hands-on AI engineering experience, building and operating AI/ML environments.
• Strong Kubernetes and container experience, secure deployment and monitoring.
• Experience with AWS or Azure, ideally both, and cloud AI services.
• Python development, CI/CD and infrastructure as code (Terraform/Ansible).
• Experience with MLOps, model serving and generative AI tools (LLMs, RAG).
• Knowledge of Linux, networking, APIs and security in complex environments.
• Clear communication and ability to guide technical decisions; qualifications in IT/CS/AI valued.

Responsibilities

• Design, build and improve AI/ML environments across on-premises, cloud and hybrid platforms.
• Develop software, APIs and automation to support AI workloads and platform operations.
• Build deployment pipelines and reusable infrastructure using code.
• Support model training, deployment, monitoring and ongoing performance.
• Apply security controls across containers, networks, data and software delivery.
• Troubleshoot complex issues and support releases into production.
• Work with technical teams and stakeholders to turn requirements into practical solutions.

Skills

AI/ML platforms

Kubernetes

Cloud engineering

Python

Infrastructure as Code

Terraform

Ansible

CI/CD

MLOps

LLMs

Security practices

Tools

AWS

Azure

Git

Docker

Job description

• Contract: Up to 12 months, with a potential extension
• Location: Canberra, Brisbane, Melbourne or Adelaide; initially onsite for two weeks – then hybrid
• Key experience: AI/ML platforms, Kubernetes, cloud engineering, Python and infrastructure as code

Help build and operate the platforms that support AI development across a major Australian Government technology program. You’ll work with data scientists, architects and security specialists to deliver secure, reliable AI capabilities that can improve services for Australians.

Your duties will include:

• Design, build and improve AI/ML environments across on-premises, cloud and hybrid platforms.
• Develop software, APIs and automation to support AI workloads and platform operations.
• Build deployment pipelines and reusable infrastructure using code.
• Support model training, deployment, monitoring and ongoing performance.
• Apply security controls across containers, networks, data and software delivery.
• Troubleshoot complex issues and support releases into production.
• Work with technical teams and stakeholders to turn requirements into practical solutions.

Skills and Experience we are looking for:

• Demonstrated hands-on AI engineering experience, including building and operating AI/ML environments.
• Strong Kubernetes and container experience, including secure deployment and monitoring.
• Practical experience with AWS or Azure, ideally both, and relevant cloud AI services.
• Python development, CI/CD and infrastructure as code experience using tools such as Terraform or Ansible.
• Experience with MLOps, model serving and generative AI tools, including LLMs or retrieval-augmented generation.
• Sound knowledge of Linux, networking, APIs and security practices in complex environments.
• Clear communication skills and the ability to guide technical decisions. Relevant IT, computer science or AI qualifications will be highly regarded.

Applications close Tuesday, 13 October 2026.