The Clean Energy Regulator is seeking an experienced APS6 AI Developer to help design, configure, deploy and continuously improve enterprise AI agents and generative AI solutions.

Working within a flexible hybrid environment, the successful candidate will use Microsoft Azure AI Foundry, Azure AI services and generative AI technologies to develop secure, scalable and business-focused AI capabilities.

The role combines AI development, agent configuration, cloud integration, prompt engineering, automation and responsible AI , with a strong focus on integrating AI capabilities into the Microsoft enterprise ecosystem, including SharePoint, Outlook and Microsoft Teams .

This is an opportunity to contribute to practical AI adoption within a Commonwealth Government environment and help translate emerging AI capabilities into measurable business outcomes.

Key Responsibilities The APS6 AI Developer will:

- Design, configure, deploy and maintain AI agents using Microsoft Azure AI Foundry .
- Develop agents supporting use cases including summarisation, document drafting, knowledge retrieval, workflow assistance and decision support .
- Tailor AI agents to specific business and user requirements.
- Design and continuously improve prompts, workflows, instructions, templates and agent behaviours .
- Integrate AI agents with enterprise information and collaboration platforms including SharePoint, Outlook and Microsoft Teams .
- Develop code and supporting components required for AI-powered applications and automation.
- Integrate generative AI models and Azure AI services with existing cloud and enterprise infrastructure.
- Test and optimise agents for accuracy, relevance, reliability, performance and usability.
- Implement appropriate controls for privacy, security,



responsible AI, bias, fairness and ethical use of AI .
- Contribute to solution architecture reviews and transition-to-service activities.
- Support AI risk management, perks realisation and reporting.
- Benchmark AI-agent performance against relevant CER and Australian Government/DTA standards .
- Analyse user feedback, surveys and usage information to improve AI solutions.
- Support cross-application AI functionality and insight generation.
- Assist with AI/Copilot adoption, onboarding and organisational change activities.
- Develop user guides, learning materials and other enablement content.
- Deliver or support user training, demonstrations and workshops.

Job RequirementsSkills and Experience We are particularly interested in candidates with experience across:

Microsoft AI & Cloud

- Microsoft Azure AI Foundry
- Azure AI Services
- Generative AI and Large Language Models
- AI agents and agentic workflows
- Microsoft Copilot technologies
- Azure cloud integration
- Microsoft 365 integration
- SharePoint, Teams and Outlook

AI Development

- Prompt engineering
- Agent configuration and orchestration
- Generative AI application development
- API and enterprise-system integration
- AI testing and evaluation
- Retrieval/enterprise knowledge integration
- Automation and workflow development
- Relevant AI development languages and frameworks

Enterprise AI





- Secure deployment of generative AI solutions
- Responsible AI principles
- Privacy and information security
- AI governance
- Bias and fairness considerations
- Performance monitoring and optimisation
- Production support and transition to service

Qualifications A relevant tertiary qualification such as Computer Science, Software Engineering, Information Technology, Artificial Intelligence or a related discipline is desirable. Relevant Microsoft Azure and AI certifications will be highly regarded.

Mandatory Selection Criteria

Candidates must provide a written response addressing each of the four criteria below . Each response is limited to 3,000 characters .

1. Microsoft Azure AI Foundry

Demonstrate your proficiency in configuring AI tools using Microsoft Azure AI Foundry , including your understanding of how AI agents and associated technologies may interact with and impact enterprise systems.

2. Agent Design and User Outcomes

Describe your experience designing and tailoring AI agents to specific user and business requirements , including how you have improved usability, productivity or service outcomes.

3. Enterprise Integration, Security and Scalability

Demonstrate your experience integrating AI agents and generative AI solutions with enterprise systems and cloud infrastructure , including the approaches used to achieve secure, reliable and scalable operation.

4. Change Management and AI Adoption

Describe how you have supported change management, user adoption and organisational enablement for generative AI or similar emerging technologies , including training, communication, documentation and stakeholder engagement.

📌 AI Developer – Microsoft Azure AI Foundry / AI Agents (Australia)
🏢 aienablers.io
📍 Australia