AI Enablement Lead - Software Engineering

About Land Registry Services (LRS)
NSW LRS has played a foundational role in the lives of people across New South Wales for over 160 years, quietly ensuring the security, integrity and accessibility of land and property ownership. From the first handwritten titles to today’s digital platforms, our evolution has always been guided by one purpose: to create confidence beyond boundaries.
In recent years, we’ve modernised systems, expanded our digital services, and strengthened how we serve our customers and partners. Our new brand reflects this evolution. It’s a symbol of where we’ve come from and where we’re heading. At the heart of it all is our promise: Powering land certainty for NSW, so people, businesses and communities can move forward with confidence.

Your Opportunity
The AI Enablement Lead - Software Engineering is responsible for establishing and accelerating AI adoption across the software development lifecycle (SDLC) to improve engineering productivity, software quality and delivery outcomes. The role identifies, designs and implements AI-enabled engineering use cases that deliver measurable business value.
The role leads end-to-end delivery of AI capabilities including code graphing, code analysis, code generation, code review, test case generation and intelligent testing, while building organisational capability and embedding modern AI-driven engineering practices across NSW LRS.

Your Responsibilities

• Develop and maintain the AI Software Engineering roadmap, delivery priorities and implementation plans to achieve strategic alignment, measurable outcomes and sustainable adoption of AI within the SDLC.
• Identify, assess and prioritise AI-enabled software engineering use cases to achieve improvements in developer productivity, software quality, delivery speed and engineering effectiveness.
• Lead the design, implementation and optimisation of AI solutions for code graphing, code analysis, code generation, code review, test automation and quality engineering to achieve demonstrable value across the software delivery lifecycle.
• Establish engineering standards, frameworks, patterns and guardrails for AI-assisted software development to achieve secure, consistent and scalable adoption across technology teams.
• Partner with development, business analysis, testing and architecture teams to embed AI capabilities into engineering workflows and delivery practices to achieve improved collaboration and delivery outcomes.
• Deliver AI capability uplift, coaching and knowledge-sharing initiatives for engineering teams to achieve increased proficiency, adoption and effective use of AI-enabled development tools.
• Monitor, evaluate and report on AI engineering outcomes, performance metrics, benefits and risks to achieve continuous improvement, executive visibility and evidence-based decision-making.
• Ensure AI is implemented with appropriate consideration for system and data security within software engineering processes to achieve compliance, risk management and trusted use of AI technologies.

About You
To be successful in this role you will have:

• A tertiary qualification in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent industry experience.
• 6+ years' experience in software engineering, solution development, DevOps, engineering enablement, or technology delivery roles within complex enterprise environments.
• Proven success in designing, implementing and continually improving software engineering practices, developer tooling and SDLC capabilities to enhance quality, productivity and delivery outcomes.
• Hands-on experience implementing AI-assisted software development solutions for an employer or client.
• Strong expertise in Java and modern enterprise technology stacks, with practical experience in application architecture, system integration and engineering best practices.
• Experience working with DevOps, CI/CD pipelines, test automation, cloud-native delivery and developer productivity platforms, including integrating AI capabilities into engineering workflows.
• Excellent stakeholder engagement, facilitation, analytical and problem-solving skills, with a genuine passion for AI innovation, emerging engineering practices and the responsible adoption of AI in software development.

Desirable, but not limited to:

• A strong interest in driving engineering excellence and helping teams adopt modern development practices.
• A proactive approach to identifying opportunities to improve developer experience, productivity and delivery performance through AI-enabled solutions.

Why Join Us:
At NSW LRS we’re fostering a welcoming, connected, and fair workplace, where you can be yourself and thrive:
• Our differences are our strength
• You belong at NSW LRS
• Gender equity and equality
• Family comes first at LRS
• Women in Leadership program
• Your wellbeing matters

NSW LRS is committed to building a diverse, inclusive, and accessible workplace. We welcome and encourage applications from people of all backgrounds, including Aboriginal and Torres Strait Islander peoples, people with disability, LGBTQIA+ communities, and people from culturally diverse backgrounds.

Note: NSW LRS does not accept unsolicited resumes from recruitment agencies or search firms.