Senior Cloud AI Engineer| AUS HYBRID | Federal Government Client | Australian Citizens Only |
This position is no longer accepting applications (closed Oct 26, 2026).
See similar open jobs →Cbite Recruit Senior Cloud AI Engineer| AUS HYBRID | Federal Government Client | Australian Citizens Only |
Description
- Our Federal Client is seeking Senior Cloud AI Engineers (EL1 equivalent) to deliver complex AI/cloud application projects across the Technology and Digital Program Group. Engineers will design, implement and operate AI/ML environments across on-premise, public cloud and hybrid platforms.
- Specialise in cloud-native or public cloud AI platforms, building secure-by-design solutions using reusable patterns and Infrastructure as Code (IaC).
- Collaborate with Data Scientists, Architecture, Cyber Security and Core Data teams to establish governance, platform capabilities and best practices.
- Operate with a high degree of autonomy while maintaining strong stakeholder engagement and compliance with agency processes.
- 5+ years hands-on experience as a Cloud AI Engineer across greenfield and brownfield AI/ML environments.
- OpenShift, OpenShift AI, Kubernetes, RBAC, operators, AI pipelines, model serving and monitoring.
- Containers and platform engineering using Docker/Podman, registries, image scanning and secure supply chain practices.
- Linux administration, networking, DNS, TLS, load balancing and cloud connectivity.
- DevOps, GitOps, CI/CD, Terraform, Ansible, Tekton, GitHub/GitLab/Azure DevOps and Argo CD.
- Python scripting, AI/ML integration and automation.
- MLOps, Generative AI, LLMs, Hugging Face, RAG, vector databases and AI agents.
- GPU engineering including NVIDIA GPUs and CUDA.
- AWS and/or Azure cloud AI services, APIs, observability, security, governance and FinOps.
- Design, build and maintain secure, scalable and highly available infrastructure supporting AI, ML and Generative AI workloads.
- Lead implementation, optimisation and operation of enterprise AI solutions.
- Develop solution architectures for greenfield and brownfield cloud environments.
- Provide technical leadership, documentation and guidance to APS teams.
- Lead integration, migration and platform modernisation initiatives.
- Apply DevSecOps, security, compliance and governance controls.
- Drive innovation, continuous improvement and stakeholder engagement.
- Resolve complex technical issues and prepare architecture and solution documentation.
Candidates must address all criteria in a one-page pitch (up to 5000 characters).
Essential Criteria- Availability Management Level 5 (SFIA)
- Capacity Management Level 4 (SFIA)
- IT Infrastructure Level 4 (SFIA)
- Problem Management Level 4 (SFIA)
- Programming/Software Development Level 3 (SFIA)
- Systems Design Level 5 (SFIA)
- Systems Installation and Removal Level 5 (SFIA)
Skills
- Agentic AI
- AI
- Ansible
- API
- Argo CD
- Automation
- AWS
- Azure
- Azure DevOps
- CI/CD
- Cloud
- Cloud Native
- CUDA
- Cybersecurity
- DevOps
- DevSecOps
- DNS
- Docker
- FinOps
- Generative AI
- GitHub
- GitLab
- GitOps
- GPU
- Hugging Face
- Infrastructure as Code
- Kubernetes
- Linux
- LLM
- Machine Learning
- MLOps
- Networking
- Observability
- OpenShift
- Podman
- Python
- RAG
- RBAC
- Terraform
- TLS
- Vector Databases