Junior AI Systems Analyst — Hands-on AI & Low-Code

Give A Grad A Go Company; Melbourne; Hybrid; AUD 68,000 - 83,000; Full time

Benefits offered by this job

Hybrid working

3 days in Melbourne CBD office

Hands-on ownership of live AI agent

Exposure to senior leaders

Job summary

Give A Grad A Go Company is seeking a Junior IT Systems Analyst in Melbourne to own and enhance an AI support agent from day one. You will analyze its accuracy, update knowledge sources, and drive improvements across AI-enabled automations using low-code tools in a collaborative, risk-aware environment.

You’ll work with cross-functional teams, learning hands-on in AI, data and risk, while receiving full training and development opportunities in a hybrid setup.

Qualifications

• Degree in AI, IT, Information Systems, Computer Science or similar.
• Hands-on experience experimenting with AI tools, through study, work or personal projects.
• Confident working with stakeholders across the business.
• Practical, self-motivated and happy working autonomously.

Responsibilities

• Owning and improving an AI support agent.
• Analysing where the agent's responses were inaccurate, incomplete or needed human handover.
• Updating knowledge sources and configuration based on broker and staff feedback.
• Tracking accuracy, deflection rates and response times to measure improvements.
• Building AI-enabled automations with low-code tools like Claude and Lovable.
• Identifying manual, repetitive tasks across teams that AI could help with.
• Working with Technology, Data and Risk teams to keep solutions secure and compliant.
• Helping teams get comfortable with AI through clear guides and training.

Skills

AI tools experience

Stakeholder communication

Autonomous work

Education

Degree in AI/IT/IS/CS

Tools

Claude

Lovable

Job description

Give A Grad A Go Company is seeking a Junior IT Systems Analyst in Melbourne to own and enhance an AI support agent from day one. You will analyze its accuracy, update knowledge sources, and drive improvements across AI-enabled automations using low-code tools in a collaborative, risk-aware environment.

You’ll work with cross-functional teams, learning hands-on in AI, data and risk, while receiving full training and development opportunities in a hybrid setup.