Head of AI Engineering & Enterprise Solutions

Vocus Group; Melbourne; On-site; AUD 220,000 - 360,000; Full time

Benefits offered by this job

Career development plans

Comprehensive training and development

Wellbeing and health initiatives

Generous leave options and study leave

Employee discounts

Job summary

Vocus Group in Melbourne is seeking a visionary AI leader to build and scale its in-house AI engineering and science capability. Reporting to the MD, Consumer and Chief AI Officer, you will deliver production-grade AI solutions on the agreed platform, ensuring security, reusability, and readiness for deployment.

You will design the enterprise AI architecture, set engineering standards with Security, Legal and Risk, and develop a talent pipeline for AI engineers and scientists to reduce reliance

Qualifications

• Deep background in software or ML engineering with a track record of leading multi-disciplinary engineering teams.
• Has shipped LLM or ML solutions into production at enterprise scale.
• Strong familiarity with security, privacy and controls for critical infrastructure.

Responsibilities

• Lead and develop the AI Technical Solutions team.
• Own the technical delivery of AI solutions that deliver measurable commercial value.
• Design and build the agentic platform and enterprise AI architecture.
• Set engineering, evaluation and AI control standards, in partnership with Security, Legal and Risk.
• Own the reusable component catalogue, patterns and standards to speed up delivery.

Skills

AI leadership

Production ML

AWS Bedrock

Security controls

Team building

Tools

AWS

Bedrock

Job description

Vocus Group in Melbourne is seeking a visionary AI leader to build and scale its in-house AI engineering and science capability. Reporting to the MD, Consumer and Chief AI Officer, you will deliver production-grade AI solutions on the agreed platform, ensuring security, reusability, and readiness for deployment.

You will design the enterprise AI architecture, set engineering standards with Security, Legal and Risk, and develop a talent pipeline for AI engineers and scientists to reduce reliance