We're looking for an exceptional AI / ML Engineering Lead to take ownership of our technical direction, build a high-performing engineering capability and shape how AI is developed and delivered across the business.

This is an opportunity for someone who wants more than simply managing a backlog or overseeing delivery. We want someone who can set a vision, challenge existing approaches and build an engineering environment where talented people can do their best work.

We operate with the pace, autonomy and ambition of a scale-up. You'll have the freedom to make meaningful technical decisions, influence investment priorities and help establish the foundations for long-term AI capability.

You'll be equally comfortable discussing strategy with senior leadership, challenging architectural decisions and getting hands‑on with engineers to solve difficult problems.

The mandate is straightforward: build a great team your way, establish exceptional engineering standards and deliver AI solutions that genuinely work.

What You'll Own

AI/ML Strategy & Technical Direction

- Define and execute the AI/ML engineering strategy, balancing near‑term delivery priorities with long‑term technical capability.
- Own architectural direction and technology decisions across ML platforms, AI applications and production systems.
- Identify opportunities to introduce new capabilities, improve existing solutions and scale AI adoption.
- Work closely with senior leadership to translate business opportunities into clear technical roadmaps.
- Evaluate emerging technologies pragmatically, determining what creates genuine value rather than following industry hype.





We're looking for an exceptional AI / ML Engineering Lead to take ownership of our technical direction, build a high-performing engineering capability and shape how AI is developed and delivered across the business.

This is an opportunity for someone who wants more than simply managing a backlog or overseeing delivery. We want someone who can set a vision, challenge existing approaches and build an engineering setting where talented people can do their best work.

We operate with the pace, autonomy and ambition of a scale‑up. You'll have the freedom to make meaningful technical decisions, influence investment priorities and help establish the foundations for long‑term AI capability.

You'll be equally comfortable discussing strategy with senior leadership, challenging architectural decisions and getting hands‑on with engineers to solve difficult problems.

The mandate is straightforward: build a great team your way, establish exceptional engineering standards and deliver AI solutions that genuinely work.

What You'll Own

AI/ML Strategy & Technical Direction

- Define and execute the AI/ML engineering strategy, balancing near‑term delivery priorities with long‑term technical capability.
- Own architectural direction and technology decisions across ML platforms, AI applications and production systems.
- Identify opportunities to introduce new capabilities, improve existing solutions and scale AI adoption.




- Work closely with senior leadership to translate business opportunities into clear technical roadmaps.
- Evaluate emerging technologies pragmatically, determining what creates genuine value rather than following industry hype.

Engineering Leadership & Quality

- Lead and develop a team of talented AI/ML Engineers, setting a high bar for technical capability, ownership and delivery.
- Establish strong software engineering practices across code quality, testing, architecture, deployment and monitoring.
- Create a culture of technical excellence where engineers challenge assumptions, share knowledge and take pride in their work.
- Remain close to the technology through design reviews, technical problem-solving, mentoring and hands‑on contributions.
- Build the frameworks, processes and engineering foundations needed to scale without unnecessary bureaucracy.

Building & Delivering Production AI

- Guide the development of AI/ML solutions from early experimentation through to scalable production deployment.
- Oversee the design and implementation of machine learning systems, generative AI applications and intelligent automation.
- Establish robust approaches to model evaluation, performance monitoring, reliability and continuous improvement.
- Work across Data Engineering, Software Engineering and Product to ensure AI capabilities integrate effectively into existing systems.
- Balance experimentation and innovation with engineering discipline, security, performance and maintainability.

We're open to different backgrounds. You might already be leading an AI/ML engineering function, operating as a hands‑on En

📌 AI / ML Engineering Lead (Australia)
🏢 seek.com.au
📍 Australia