Job Description
AI Cloud Engineer n
Essential: Baseline Clearance
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Type:
Contract
Duration:
12 months (with possible extension)
Location:
CBD in Adelaide, Brisbane, Canberra or Melbourne
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Hybrid working workplace (after initial 2 weeks in the office)
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We are seeking an experienced Senior AI Cloud Engineer with a background in software development to design, build and operate secure, scalable AI/ML and Generative AI platforms across cloud, on-premises and hybrid environments.
Key Skills n
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5+ years' AI Engineering experience delivering enterprise AI/ML solutions.
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Expertise in Kubernetes, MLOps, Python, Linux, Docker/Podman and Platform Engineering.
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Experience with LLMs, RAG, vector databases, model serving, Hugging Face and AI agents.
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Strong DevOps, CI/CD, GitOps, Terraform, Ansible and Infrastructure as Code capability.
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Experience with AWS and/or Azure AI services.
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Knowledge of security, governance, observability, FinOps and regulated environments.
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Strong communication,



stakeholder engagement and technical leadership skills.
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Key Responsibilities n
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Design, develop and support AI/ML platforms and cloud-native applications.
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Lead solution design, software development, deployment and operational support.
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Drive AI workload migrations, platform optimisation and automation initiatives.
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Collaborate with architecture, security, data and engineering teams to establish platform standards and governance.
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Troubleshoot complex technical issues and provide expert technical advice.
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Deliver secure-by-design solutions using reusable patterns and Infrastructure as Code.
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Contribute to project delivery, risk management, innovation and continuous improvement.
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This role suits a hands‐on engineer who can operate autonomously, influence technical outcomes, and deliver scalable AI solutions in a complex enterprise environment.
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📌 Ai Cloud/Software Engineer Developer (Melbourne)
🏢 Logical Resources
📍 Melbourne