Senior Cloud AI Engineer

Akkodis; Canberra; Hybrid; AUD 150,000 - 190,000; Full time

Job summary

Akkodis is seeking a Cloud AI Engineer to join a major Australian Federal Government digital transformation program. You will design, implement and optimise cloud-native AI platforms, working with architects, cyber security and data teams to ensure solutions are secure, scalable and compliant with government standards.

You will lead AI workload deployment, build IaC patterns and deliver end-to-end solutions across greenfield and brownfield environments.

Qualifications

• Minimum 5 years' experience as a Cloud AI Engineer delivering enterprise-scale cloud solutions.
• Proven expertise in AI/ML platforms, MLOps and Generative AI.
• Strong cloud architecture design and automation skills.
• Experience with secure cloud-native environments and gov standards.

Responsibilities

• Design and deliver secure, scalable cloud and AI platforms.
• Lead AI workload deployment, migration and optimization.
• Create reusable IaC patterns and automation.
• Collaborate with architects, security and data teams.
• Provide end-to-end solution design and governance.
• Drive DevSecOps and secure-by-design outcomes.

Skills

AI/ML platform

Kubernetes

OpenShift

DevSecOps

Terraform

Ansible

Python

CI/CD

Cloud architecture

Security governance

MLOps

Stakeholder management

Tools

Docker

Podman

GitHub

GitLab

Azure DevOps

OpenShift AI

Prometheus

Grafana

Job description

• Opportunity to work on enterprise-scale AI, Machine Learning and Generative AI initiatives
• Hybrid working arrangement with flexibility after an initial onsite onboarding period
• Work with leading cloud, data, cyber security and architecture specialists
• Contribute to digital transformation projects that support millions of Australians
• Exposure to AWS, Azure, OpenShift AI, Kubernetes and emerging AI technologies
• Multi-state opportunities available across ACT, NSW, VIC, QLD, SA and WA

Ready to help shape the future of AI within one of Australia's largest and most impactful technology environments?

The Company

Our client is a major Federal Government organisation at the forefront of digital transformation and service delivery. Supporting millions of Australians each year, the organisation continues to invest heavily in modern cloud platforms, artificial intelligence, machine learning and automation technologies to improve the experience and outcomes of its customers.

The Role

An exciting opportunity exists for an experienced Cloud AI Engineer to join a high-performing technology team delivering complex AI and cloud engineering initiatives.

As a senior EL1-equivalent specialist, you will play a key role in designing, implementing and optimising cloud-native and AI platform capabilities across greenfield and brownfield environments. Working closely with architects, cyber security specialists, data scientists and engineering teams, you will help establish foundational platform capability while ensuring solutions are secure, scalable and compliant with government standards and frameworks.

Security Clearance

Ability to obtain Baseline Clearance

Duties / Typical Day / Responsibilities

• Design and deliver secure, scalable and highly available cloud and AI platforms
• Lead AI workload deployment, migration and operational optimisation activities
• Build reusable Infrastructure as Code (IaC) patterns and automation capabilities
• Design and implement enterprise AI, Machine Learning and Generative AI solutions
• Collaborate with architecture, cyber security and data teams to establish platform standards and governance
• Deliver end-to-end solution design and integration across complex technology environments
• Lead technical implementation activities and provide expert guidance to delivery teams
• Drive DevSecOps practices and secure-by-design architecture outcomes
• Produce solution documentation, technical recommendations and executive briefings
• Resolve complex technical issues and support continuous improvement initiatives
• Engage with stakeholders across multiple business and technology groups
• Contribute to innovation, strategic planning and organisational transformation initiatives

What Our Client Requires

Essential

• Minimum 5 years' experience as a Cloud AI Engineer designing and delivering enterprise-scale cloud solutions
• Strong experience with AI/ML platforms, MLOps and Generative AI technologies
• Demonstrated expertise in cloud architecture, automation and platform engineering
• Experience designing and supporting secure cloud-native environments
• Strong stakeholder management, presentation and communication skills
• Ability to lead technical discussions and influence solution outcomes

Technical Experience

• Kubernetes, OpenShift and OpenShift AI
• Docker, Podman and container platform engineering
• Linux administration, networking, DNS, certificates and storage platforms
• Git, GitHub, GitLab, Azure DevOps and CI/CD pipelines
• Terraform, Ansible and Infrastructure as Code
• Python scripting and automation
• AI/ML engineering and model lifecycle management
• LLMs, Generative AI, Hugging Face, embeddings and vector databases
• GPU platforms including NVIDIA and CUDA
• REST APIs, OAuth/OIDC and enterprise integration technologies
• AWS and/or Microsoft Azure cloud platforms
• Prometheus, Grafana and observability tooling
• Security, compliance, governance and DevSecOps frameworks
• FinOps and cloud cost optimisation practices