- 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.
- Robust 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.

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📌 Senior AI Platform Engineer (Sydney)
🏢 Talent
📍 Sydney