
Head of AI Engineering
1 week ago
*Role Details*
- Internal Title: Head of AI Engineering
- Location: Eveleigh, Sydney, NSW
- Assignment Length: 12 months (Start Date: 30 September 2025)
- Hours: 40 hours per week
About the Role
This NSW Government Department is seeking a Head of AI Engineering to lead its Data, Integration, and AI Engineering division. This is a senior executive leadership role responsible for driving strategic technology initiatives that impact educational outcomes for more than 800,000 students across 2,200+ schools.
Reporting to the Chief Information Officer, you will oversee a team of 40 professionals across three specialised pillars:
- Operations (18 staff): Azure cloud platforms, enterprise data lakes, real-time analytics, database operations, integration middleware, and platform engineering.
- Engineering (8 staff): AI-assisted software engineering, R&D, engineering excellence, developer experience, and technical standards.
- AI Products & Solutions (20 staff): Education data lakes, AI software products, machine learning operations, and cross-functional delivery teams.
This role requires a blend of hands-on technical expertise and strategic leadership, with a mandate to drive innovation, resilience, and scalability across the department's data and AI ecosystem.
Key Responsibilities
- Partner with the CIO to define and execute data, digital, and AI strategy.
- Provide thought leadership on emerging technologies and their application in education.
- Architect scalable, secure, and resilient technology solutions.
- Establish technical standards and engineering practices across data, integration, and AI domains.
- Lead, mentor, and grow a high-performing technical organisation.
- Foster a culture of innovation, continuous learning, and operational excellence.
- Oversee day-to-day operations, monitoring, and incident response.
- Collaborate with senior stakeholders, security teams, and external partners.
About You
You are a proven technology leader with:
- 10+ years in progressive technology leadership, including 5+ years in senior executive roles.
- Experience building and scaling technical organisations (20+ engineers).
- Strong background in digital transformation within large, complex organisations (government/enterprise preferred).
- Deep hands-on software engineering expertise (Python frameworks).
- Advanced knowledge of cloud platforms (Azure preferred, AWS/GCP valuable).
- Strong AI/ML implementation background, including MLOps and responsible AI practices.
- Extensive experience with enterprise data architecture, data lakes, and streaming analytics.
- Proficiency in infrastructure-as-code, containerisation, and cloud-native architectures.
- Understanding of data governance, compliance frameworks, and security monitoring.
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