Senior AI Cloud Engineer

This is an opportunity to work on complex and innovative AI initiatives involving cloud engineering, platform modernisation, generative AI, machine learning operations and enterprise-scale infrastructure.

About the Role
As a Senior Cloud AI Engineer, you will be responsible for the design, deployment and operation of cloud-native AI platforms, supporting AI, ML and Generative AI workloads across both existing and newly established environments.

You will collaborate with architects, cyber security specialists, data scientists, engineering teams and business stakeholders to establish secure, resilient and scalable AI platforms that align with government standards and best practices.

This position requires a highly autonomous professional who can provide technical leadership, drive innovation, influence stakeholders and deliver outcomes within complex enterprise environments.

Key Responsibilities

• Design, build and maintain secure, scalable cloud infrastructure supporting AI, ML and Generative AI services
• Lead AI platform implementation, migration, integration and optimisation activities
• Build and enhance cloud-native platforms in both greenfield and brownfield environments
• Develop infrastructure using Infrastructure as Code (IaC) and DevSecOps practices
• Implement governance, security controls and compliance requirements across AI platforms
• Design enterprise-grade solutions aligned with business and technical requirements
• Lead platform engineering and automation initiatives
• Develop reusable architecture patterns and deployment frameworks
• Support disaster recovery, resilience and operational readiness activities
• Troubleshoot and resolve complex infrastructure and platform issues
• Drive continuous improvement and innovation across cloud and AI capabilities

Required Skills & Experience

• Proven experience designing, building and supporting secure, scalable cloud infrastructure across AWS and/or Azure environments
• Strong expertise in Kubernetes, OpenShift and OpenShift AI, including deployment, administration and optimisation
• Experience with container technologies including Docker and Podman, with a focus on security and enterprise platform engineering
• Demonstrated capability implementing Infrastructure as Code (Terraform, Ansible or similar) and DevOps/GitOps practices
• Hands-on experience with CI/CD pipelines using GitHub, GitLab, Azure DevOps, Argo CD and related tooling
• Experience delivering AI/ML platforms, MLOps solutions and model lifecycle management in production environments
• Knowledge of Generative AI and LLM technologies, including RAG, vector databases, model serving and AI agent frameworks
• Strong Python scripting and automation skills, with experience integrating cloud, platform and AI services
• Solid understanding of Linux, networking, observability, security, DevSecOps and secure-by-design principles
• AGSVA Security Clearance

Desirable: Experience with Azure AI, SageMaker, NVIDIA GPU environments, FinOps practices and Australian Government security or compliance frameworks

What's on Offer?

• Initial contract up to 12 months with extension options
• Long-term program of work delivering strategic AI initiatives
• Hybrid working arrangements
• Multiple capital city locations available across Australia

Due to the nature of this role, this job is open to Australian Citizens only.

Calleo is an equal opportunity employer and we encourage applications from all people including Aboriginal and Torres Strait Islander peoples.
  
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