About the Business Unit The Artificial Intelligence (AI) function will be a key enabler to the Clean Energy Regulator's (CER) digital transformation, driving the responsible, ethical, and effective use of AI to enhance regulatory, operational efficiencies and policy outcomes. Under the leadership of the Chief AI Officer, the team will support AI usage across the Agency, aligned with the Agency's strategic objectives and whole-of-government digital priorities. With expertise in artificial intelligence principles, practices, and technologies, the team ensures AI initiatives are designed and deployed in ways that are scalable, secure, and aligned with the Agency's values and operational goals. This includes applying robust AI governance frameworks, ensuring model integrity and performance, and integrating AI capabilities into core business processes to support sustainable and responsible innovation. The team operates in alignment with Agency program and BAU investment prioritisation and IT and data architecture governance arrangements. The AI Team is structured around two teams: AI Technical Capability Development This section leads the design, development, and deployment of AI solutions across the Agency. It provides technical leadership, supports pilot programs, and ensures alignment with IT architecture and data governance. The team is responsible for delivering robust solutions, developing and refining AI models, and integrating AI platforms into the Agency's digital environment. Their work ensures that AI systems are secure, scalable, and aligned with CER architecture standards, supporting both operational efficiency and innovation. AI Adoption This section focuses on enabling the workforce to confidently and ethically engage with AI technologies. It delivers training, builds communities of practice, and supports the development of AI use cases through business analysis and stakeholder engagement. This section ensures AI is adopted in a way that is inclusive, people-centric, and aligned with the Agency's values and operational goals. Together, these teams support the Chief AI Officer in delivering strategic leadership, uplifting AI literacy, managing risk, and ensuring the Agency remains adaptive and innovative. About the Section The AI Technical Team plays a pivotal role in shaping the Agency's approach to artificial intelligence by overseeing the complete lifecycle of AI solution development. This includes the initial design phase, where the team collaborates to identify business requirements and suitable AI technologies. This is through the development, deployment, and ongoing optimisation lifecycle of these solutions. Their remit extends to providing expert technical leadership, ensuring that all AI initiatives are grounded in best practice and adhere to the Agency's overarching enterprise IT architecture and data governance frameworks. In addition to delivering secure, scalable, and robust AI systems that enhance operational efficiency and drive innovation, the AI Technical Team actively supports pilot projects. This involves coordinating logistics, preparing user guides, and working closely with the AI adoption section. This is achieved though gathering feedback from stakeholders for further analysis and refinement of AI tools. The team is also responsible for maintaining technical documentation, updating system registers, creating architectural artefacts, and managing the backlog of AI items. The key duties of the position include The Assistant Manager, AI Technology Implementation supports the AI Business Unit and AI Technical Manager. This involves providing technical oversight and ensuring all AI initiatives are fit for purpose, align with the Agency's IT architecture and data governance frameworks. Oversee the design, build, development, deployment, and optimisation of AI solutions across the Agency, ensuring alignment with enterprise IT architecture and data governance frameworks. Provide technical leadership and support for pilot programs, including logistics coordination and preparation of user guides. Manage and influence high-level stakeholder relationships, facilitating collaboration across business areas to drive strategic agency-wide outcomes. Engage effectively with senior executives, technical specialists, policy makers, and external partners. Apply robust AI technical governance frameworks and deployment methodologies, ensuring model integrity, performance, and compliance with legislative, ethical, and regulatory requirements. Maintain technical documentation, update system registers, and create architectural artefacts. Deliver training and support communities of practice to uplift AI literacy across the technical practitioners and support the development of AI use cases through business analysis and stakeholder engagement. Enable the workforce to confidently and ethically engage with AI technologies. Navigate ambiguity, apply sound decision-making, and drive innovation while managing risk. Ensure AI systems are secure, scalable, and aligned with CER architecture standards to support operational efficiency and sustainable, responsible innovation. Manage individual and team performance, coach and develop people, and lead teams through change. Support the AI Technical Manager in delivering strategic leadership and ensuring the Agency remains adaptive and innovative. Qualifications/Experience Essential: Relevant tertiary qualifications in computer science, information technology, engineering, or demonstrated experience. Ability to design, configure, and deploy Copilot agents tailored to business needs (e.g. summarisation, document drafting, decision support). Practical experience with generative AI models, prompt engineering, and usage of enterprise-scale AI applications. Skills in architectural review, transition-to-service planning, and benchmarking model performance. Experience with Office 365/Copilot administration, including configuration and secure deployment of Copilot agents. Highly Desirable: Certifications in Azure-related skills (e.g. Azure AI Engineer, Azure Data Scientist, Azure Solutions Architect). Demonstrated experience in designing, developing, and deploying AI/ML systems in complex enterprise environments. Experience in maintaining and iterating agent prompts, workflows, and templates to improve relevance and usability. Knowledge of integrating Copilot with enterprise data sources (SharePoint, Outlook, Teams). Experience configuring and deploying Azure Large Language Models (LLMs) and Small Language Models (SLMs) for business use cases. Ability to integrate Azure AI solutions for scalable, secure, and compliant performance.
