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 workplace 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, benefits 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