Senior AI Platform Engineer

Talent; Canberra; Hybrid; AUD 180,000 - 210,000; Full time

Job summary

Talent in Canberra is seeking a Senior Cloud AI Engineer to design, build and optimise secure, enterprise‑scale AI infrastructure across cloud and on‑premises to support government services.

You will lead deployment of AI platforms, implement IaC and DevOps practices, manage Kubernetes/OpenShift environments, and collaborate with architects, data scientists and cybersecurity teams to deliver reliable, scalable AI solutions. The role offers initial onsite work with negotiated hybrid arrangements.

Qualifications

• Hands-on Cloud AI engineering in enterprise AI/ML environments.

Responsibilities

• Design, build and maintain secure, scalable cloud infrastructure supporting AI/ML workloads.

Skills

Cloud AI engineering

AWS/Azure

Kubernetes/OpenShift

IaC/DevOps

Python/Linux

MLOps/LLMs

GPU infrastructure

Tools

Terraform

Ansible

GitLab

GitHub Actions

Azure DevOps

Argo CD

Kubernetes

OpenShift

Job description

• Contract: Up to 12 months, with potential extension opportunities.
• Location: Canberra, Sydney, Melbourne, Brisbane, Adelaide or Perth. Initial two weeks onsite, followed by negotiated hybrid arrangements.
• Security Clearance: Must hold a Baseline security clearance.

We are currently seeking an experienced Senior Cloud AI Engineer to support a major Australian Government digital transformation program. This is an opportunity to design, build and optimise secure, enterprise-scale AI infrastructure, enabling the adoption of Artificial Intelligence, Machine Learning and Generative AI technologies that support essential services for millions of Australians.

Your duties will include:

• Design, build and maintain secure, scalable cloud infrastructure supporting AI, Machine Learning and Generative AI workloads.
• Lead the deployment, integration and optimisation of AI platforms across on-premises, public cloud and hybrid environments.
• Develop reusable infrastructure solutions using Infrastructure as Code, automation and modern DevOps practices.
• Implement and manage container-based AI environments using Kubernetes, OpenShift and associated platform technologies.
• Collaborate with architects, data scientists, cybersecurity specialists and engineering teams to deliver reliable enterprise AI solutions.
• Establish monitoring, performance optimisation, security controls and operational standards for AI infrastructure.
• Provide technical leadership, resolve complex infrastructure challenges and contribute to architecture decisions and continuous improvement.

Skills and Experience we are looking for:

• Demonstrated hands-on Cloud AI Engineering experience, including designing, implementing and supporting enterprise AI/ML environments.
• Strong experience with AWS and/or Microsoft Azure, ideally including services such as Amazon SageMaker or Azure AI/ML.
• Demonstrated expertise in Kubernetes, OpenShift/OpenShift AI, Docker and container orchestration, including deployment, security and operational management.
• Strong capability in Infrastructure as Code and DevOps, using technologies such as Terraform, Ansible, GitLab, GitHub Actions, Azure DevOps or Argo CD.
• Proficiency in Python, Linux administration, scripting, networking and automation to support complex cloud infrastructure.
• Practical experience supporting AI/ML and Generative AI platforms, including model deployment, MLOps, Large Language Models, model serving and monitoring. Exposure to GPU infrastructure, Hugging Face, vector databases or Retrieval-Augmented Generation would be advantageous.
• Strong understanding of cloud security, governance, performance, availability and capacity management, combined with excellent stakeholder engagement and technical problem-solving skills.