AI Cloud Engineer
Posted 14
views
Summary
Recruiter M&T Resources is hiring an AI Cloud Engineer for a Federal Government client in Melbourne. The role builds and operates AI/ML platforms and workloads on Kubernetes and AWS/Azure, using Python, Terraform, GitOps/ArgoCD and secure-by-design DevSecOps practices to deliver services for Australians.
AI Cloud Engineer
Our Federal Government client is seeking an experienced AI Cloud Engineer to support the delivery of complex AI and cloud-based solutions within a large-scale technology environment.
This role offers the opportunity to work on cutting-edge AI, cloud, and platform engineering initiatives, helping establish and enhance foundational AI capabilities that support critical services delivered to millions of Australians.
Eligibility Applicants must be Australian Citizens and be able to obtain a Baseline Security Clearance.
Key Responsibilities
- Design and develop scalable AI and cloud platform solutions
- Build and maintain AI/ML environments across cloud, on-premises and hybrid platforms
- Develop and support Kubernetes-based AI workloads and infrastructure.
- Implement Infrastructure as Code (IaC) and DevOps practices
- Collaborate with architects, cyber security specialists, data scientists and engineering teams.
- Deliver secure-by-design solutions aligned with government standards and compliance requirements.
- Support AI model deployment, monitoring, optimisation and operational management.
- Contribute to platform governance, automation and continuous improvement initiatives.
- Strong experience as an AI Engineer, AI Cloud Engineer, MLOps Engineer or Platform Engineer
- Hands-on experience with Kubernetes, OpenShift and container technologies
- Experience building and supporting AI/ML platforms and workloads
- Knowledge of LLMs, Generative AI, RAG solutions, embeddings and vector databases
- Experience with AWS and/or Azure cloud platforms
- Strong Python development and automation skills
- Experience with Terraform, Ansible, GitOps, ArgoCD or similar DevOps technologies
- Knowledge of DevSecOps, security controls and compliance requirements
- Experience with CI/CD pipelines and modern software engineering practices
- Kubeflow, MLflow, SageMaker or Azure ML
- AI model serving platforms such as vLLM or TGI
- Federal Government or highly regulated environments
- AI platform engineering and cloud migration projects
If you're passionate about AI, cloud engineering and delivering enterprise-scale solutions, we'd love to hear from you. Apply now or contact me for a confidential discussion.