Regulatory AI Content Engineer - Entry Level, Hybrid

Ideagen; Melbourne; Hybrid; AUD 65,000 - 90,000; Full time

Benefits offered by this job

Benefits at Ideagen

Job summary

Ideagen is seeking an Associate Regulatory Content AI & Automation Engineer in Melbourne to shape AI-powered workflows for regulatory content creation and maintenance. You will develop AI-driven tools, prompt libraries, and automation processes while collaborating with content, product and technology teams to improve outcomes.

The role emphasizes building, testing and refining AI prompts, implementing no-code automations, and contributing to governance and training to ensure safe, effective AI

Qualifications

• Experience or strong interest in AI, automation or software-related work.
• Knowledge of generative AI tools and large language models.
• Understanding of prompt engineering and workflow automation tools.
• Strong communication, problem-solving and collaboration skills.
• Curiosity, adaptability and a commitment to continuous learning.

Responsibilities

• Design, test and refine prompts for generative AI tools.
• Support the implementation of no-code and low-code automations.
• Build and maintain reusable prompt libraries and AI workflows.
• Test AI outputs and document findings to drive improvements.
• Help teams adopt approved AI tools through training and support.
• Follow AI governance, data security and quality standards.

Skills

AI interest

Automation tools

Generative AI

Prompt engineering

Power Automate

Make/Zapier

Communication

Tools

Power Automate

Make

Zapier

Job description

Ideagen is seeking an Associate Regulatory Content AI & Automation Engineer in Melbourne to shape AI-powered workflows for regulatory content creation and maintenance. You will develop AI-driven tools, prompt libraries, and automation processes while collaborating with content, product and technology teams to improve outcomes.

The role emphasizes building, testing and refining AI prompts, implementing no-code automations, and contributing to governance and training to ensure safe, effective AI