Senior AI Platform Engineer

Project overview

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:

Skills and Experience we are looking for:

Application Process

If you are an experienced Cloud AI Engineer looking to contribute to a significant Australian Government technology initiative, we would welcome your application. Please contact Vamshi on email [contact removed]

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• 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.
• Key Technologies: AWS, Azure, Kubernetes, OpenShift AI, Python, Terraform, DevOps, AI/ML and Generative AI platforms.
• 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.
• 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.

Project details

• Start: 1 November 2026
• Duration: 12 months
• Remote: hybrid
• Location: Australian Capital Territory