Senior AI Platform Engineer

Talent; Sydney; Hybrid; AUD 150,000 - 230,000; Full time

Job summary

Talent is seeking an experienced Senior Cloud AI Engineer to support a major Australian Government digital transformation program. Design, build and optimise secure, enterprise-scale AI infrastructure to enable AI, ML and Generative AI across essential public services for Australians.

You will lead deployments across on-premises, cloud and hybrid environments, implement IaC, containerised AI environments, and collaborate with architects, data scientists and cybersecurity experts to deliver

Qualifications

• Hands-on cloud AI engineering in enterprise environments.
• Experience with AWS and/or Azure incl. SageMaker or Azure AI/ML.
• Kubernetes/OpenShift and container orchestration, security, ops.
• IaC and DevOps using Terraform, Ansible, GitLab CI, GitHub Actions, Azure DevOps or Argo CD.
• Python, Linux, scripting, networking and automation.
• Experience with AI/ML platforms, MLOps, LLMs, model serving and monitoring.
• Strong cloud security, governance, performance, availability and stakeholder engagement.

Responsibilities

• Design and maintain secure, scalable cloud infrastructure supporting AI workloads.
• Lead deployment and optimisation of AI platforms across hybrid environments.
• Develop reusable infrastructure solutions using IaC, automation and modern DevOps.
• Implement and manage container-based AI environments using Kubernetes/OpenShift.
• Collaborate with architects, data scientists and cybersecurity teams.
• Establish monitoring, performance, security controls and operational standards.
• Provide technical leadership and drive architecture decisions.

Skills

Cloud AI Eng

AWS/Azure

Kubernetes & OpenShift

IaC & CI/CD

Python & Linux

MLOps/GenAI

Cloud security

Stakeholder mgmt

Tools

Kubernetes

OpenShift

Docker

Terraform

Ansible

GitLab CI

GitHub Actions

Azure DevOps

Argo CD

Hugging Face

Job description

• Contract: Up to 12 months, with potential extension opportunities.
• Location: Canberra, Sydney, Melbourne, Brisbane, Adelaide or Perth. Initial two weeks onsite, followed by negotiated hybrid arrangements.
• Security Clearance: Must hold a Baseline security clearance.

We are currently seeking an experienced Senior Cloud AI Engineer to support a major Australian Government digital transformation program. This is an opportunity to design, build and optimise secure, enterprise-scale AI infrastructure, enabling the adoption of Artificial Intelligence, Machine Learning and Generative AI technologies that support essential services for millions of Australians.

Your duties will include:

• Design, build and maintain secure, scalable cloud infrastructure supporting AI, Machine Learning and Generative AI workloads.
• Lead the deployment, integration and optimisation of AI platforms across on-premises, public cloud and hybrid environments.
• Develop reusable infrastructure solutions using Infrastructure as Code, automation and modern DevOps practices.
• Implement and manage container-based AI environments using Kubernetes, OpenShift and associated platform technologies.
• Collaborate with architects, data scientists, cybersecurity specialists and engineering teams to deliver reliable enterprise AI solutions.
• Establish monitoring, performance optimisation, security controls and operational standards for AI infrastructure.
• Provide technical leadership, resolve complex infrastructure challenges and contribute to architecture decisions and continuous improvement.

Skills and Experience we are looking for:

• Demonstrated hands-on Cloud AI Engineering experience, including designing, implementing and supporting enterprise AI/ML environments.
• Strong experience with AWS and/or Microsoft Azure, ideally including services such as Amazon SageMaker or Azure AI/ML.
• Demonstrated expertise in Kubernetes, OpenShift/OpenShift AI, Docker and container orchestration, including deployment, security and operational management.
• Strong capability in Infrastructure as Code and DevOps, using technologies such as Terraform, Ansible, GitLab, GitHub Actions, Azure DevOps or Argo CD.
• Proficiency in Python, Linux administration, scripting, networking and automation to support complex cloud infrastructure.
• Practical experience supporting AI/ML and Generative AI platforms, including model deployment, MLOps, Large Language Models, model serving and monitoring. Exposure to GPU infrastructure, Hugging Face, vector databases or Retrieval-Augmented Generation would be advantageous.
• Strong understanding of cloud security, governance, performance, availability and capacity management, combined with excellent stakeholder engagement and technical problem-solving skills.