Minimum of 1 Senior AI Engineer

Closes in 14 daysSubmission deadline: 29 October 2026, 11:59 PM Australia/Sydney

About this tender

This Tender is invited by the Issuer. Overview Services Australia is seeking a minimum of 1 Senior AI Engineer to support the implementation of artificial intelligence and machine learning solutions. The Role AI Engineers are primarily responsible for the implementation of AI models and algorithms. Working under the guidance of more experienced professionals, they contribute to the design, testing, and deployment of AI solutions. The AI Engineer is responsible for designing, developing, integrating, deploying and maintaining artificial intelligence and machine learning solutions that deliver measurable business outcomes. The role works across the AI lifecycle, from experimentation and prototyping through to production implementation, monitoring, optimisation and retirement. The AI Engineer applies contemporary AI engineering practices to develop secure, scalable, reliable and responsible AI solutions, including machine learning, generative AI, large language models (LLMs), retrieval-augmented generation (RAG), intelligent automation and AI-enabled decision support. Role Requirements Desirable qualifications/knowledge Artificial intelligence, machine learning, statistical modelling and analytical techniques, and their application to complex business problems and datasets Best-practice data cleansing, validation, quality assurance and feature preparation techniques for complex datasets Data science platforms, analytical environments and integration approaches that support scalable, reproducible and reliable delivery AI engineering and software development skills and experience developing scalable, production ready AI applications Practical knowledge of LLMs, prompt engineering, RAG, embeddings, agents and generative AI application patterns Ability to design AI solution architectures and integrate AI capabilities with enterprise systems, data platforms and applications MLOps and LLMOps understanding of AI lifecycle management, CI/CD, deployment, monitoring and continuous improvement Ability to design and implement testing and evaluation approaches Advanced degree in computer science, statistics, mathematics, or a related field, with a focus on data science, machine learning, or artificial intelligence Experience (typically 3+ years) in AI/ML engineering with a proven track record Enquiries Buyer contact: ICT.PANEL.DMP@servicesaustralia.gov.au

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