Software Engineering Expert, Ai Security

NBN Co; Sydney; Hybrid; AUD 140,000 - 210,000; Full time

Job summary

NBN Co is seeking a Software Engineering Expert in AI Security to deliver secure, scalable AI capabilities across the organization. You will design, build and operate AI platform services and security controls, supporting AI agents and enterprise use cases while embedding secure development and observability into delivery.

The role requires hands-on software and cloud experience, with strong coding skills in AWS or Azure and a drive to mentor others in secure AI engineering practices.

Qualifications

• Hands-on experience across software, cloud, DevSecOps or security engineering.

Responsibilities

• Design, build and operate reusable AI platform services and security controls.
• Collaborate with Engineering, Security, Architecture, Cloud and Responsible AI teams to embed secure development and observability.

Skills

Software engineering

Cloud environments

DevSecOps

Security engineering

Generative AI

Job description

Job Expectations

Position Title: Software Engineering Expert, AI Security

Build your career and Australia’s future.

Not many people can say they are working on building Australia’s future. With us you’ll be doing just that, leaving a legacy for all Australians. Plus, there’s equal employment, great training, and true flexible working arrangements.

A fantastic opportunity has presented itself for a Software Engineering Expert, AI Security reporting to DevSecOps Manager, AI Platform.

A bit about your role

The Software Engineer Expert, AI Security helps deliver secure, scalable AI capabilities across nbn. You’ll design, build and operate reusable AI platform services, security controls and automated engineering patterns, supporting AI agents and enterprise use cases throughout their lifecycle. Working collaboratively across Engineering, Security, Architecture, Cloud and Responsible AI teams, you’ll embed secure development, automated testing, observability and resilience into everyday delivery, while helping improve standards, resolve complex technical challenges and strengthen secure AI engineering practices.

A bit about you

The ideal candidate brings hands-on experience across software, cloud, DevSecOps or security engineering, with strong programming capability in and experience with AWS or Azure. You thrive in both autonomous and collaborative environments, possess excellent communication skills, and have a passion for mentoring and sharing knowledge. You’ll have practical exposure to generative AI, LLMs, RAG or agentic systems, alongside security practices such as vulnerability remediation, automated testing and observability. A relevant degree or equivalent professional experience is suitable, with cloud, security, DevSecOps or AI certifications considered.