Senior AI Software Engineer

• Contract: 12-month initial contract with extensions
• Location: Canberra, Sydney, Melbourne, Brisbane, Adelaide or Perth.
• Security Clearance: Must have a current Baseline security clearance
• Key Skills: AI/ML Engineering, OpenShift AI, Python, Kubernetes, Docker, MLOps, Generative AI, AWS/Azure, Terraform and CI/CD

We are currently seeking an experienced Senior AI Engineer to help deliver enterprise-scale Artificial Intelligence and Machine Learning platforms within a major Australian Government digital transformation program. This is an opportunity to work with emerging AI technologies, build secure and scalable platforms, and contribute to technology solutions that improve essential services for millions of Australians.

Your duties will include:

• Design, develop and maintain secure, scalable AI/ML platforms across on-premises, public cloud and hybrid environments.
• Lead the implementation and optimisation of AI infrastructure, including model deployment, automated workflows and operational monitoring.
• Develop and integrate Generative AI solutions, Large Language Models (LLMs), AI agents and Retrieval-Augmented Generation (RAG) capabilities.
• Build automated deployment pipelines using Infrastructure as Code, container technologies and modern DevOps practices.
• Implement secure AI solutions incorporating governance, access controls, vulnerability management and Australian Government security requirements.
• Collaborate with data scientists, software engineers, architects and cybersecurity specialists to deliver integrated AI capabilities.
• Provide technical leadership, resolve complex engineering challenges and support continuous improvement across AI platforms.

Skills and Experience we are looking for:

• Demonstrated experience in AI Engineering, including designing, deploying and supporting enterprise AI/ML environments.
• Strong experience with Python, Linux, Docker/Podman, Kubernetes and container-based platform engineering, ideally including OpenShift AI.
• Demonstrated expertise in MLOps, model lifecycle management, model deployment, inference, monitoring and automated AI/ML pipelines.
• Practical experience with Generative AI technologies, including Hugging Face, vLLM, LLM APIs, RAG, vector databases and AI agent frameworks.
• Strong knowledge of cloud platforms such as AWS and Azure, including AI/ML services, Infrastructure as Code (Terraform/Ansible) and CI/CD automation.
• Understanding of GPU infrastructure, NVIDIA technologies, AI workload optimisation, enterprise APIs and integration patterns.
• Proven ability to design secure, reliable enterprise solutions, communicate technical concepts and provide leadership across multidisciplinary teams.

Application Process: To be considered, candidates should provide an updated resume demonstrating relevant AI engineering experience. If you would like to apply, please contact Vamshi Krishna on email [email protected]

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