Engineering Manager - AI - $190k + Super - Sydney

Job Description

Engineering Manager - AI - $190k + Super - Sydney

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Excellent opportunity for seasoned AI Engineer from a software background to move into a leadership position in a large Australian enterprise.

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11th September, 2026

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Engineering Manager - AI

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About the role

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A large, well known Australian brand is hiring an Engineering Manager to lead their AI Engineering function. This is an excellent opportunity for someone that has come from a hands-on software engineering background and is ready to step up the leadership whilst maintaining hands-on engineerinng work. Deep AI/software experience is important.

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What you'll be doing

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• Building agentic AI solutions, you need to have a strong hands-on engineering background
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• Leading a team of AI Engineers
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• Setting the software engineering standard for the team: code quality, testing, CI/CD, system design and clean architecture
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• Enforcing engineering rigour through hands on code reviews, architecture decisions and technical design sessions
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• Owning the technical architecture of AI powered systems and balancing pragmatic delivery with long term maintainability
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• Owning production stability, monitoring and incident management for systems running across cloud infrastructure
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• Removing blockers and keeping the team shipping consistently, including improving Agile/Scrum practices
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• Staying hands on: writing, reviewing and improving code alongside the team
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This role is not a fit for:

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• Data Scientists or ML researchers focused on model building, experimentation or statistical modelling
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• Candidates without hands-on software engineering or coding experience
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What we're looking for

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• 7+ years of commercial software engineering experience with a track record of shipping and operating production systems
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• Strong Python skills
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• Experience designing and building backend systems and APIs with solid software architecture fundamentals
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• Hands on experience with cloud platforms (AWS, GCP, Azure)
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• Experience with containerisation (Docker) and container orchestration (Kubernetes)
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• Proficiency with CI/CD pipelines and modern delivery practices
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• Experience with Infrastructure as Code tooling such as Terraform
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Nice to haves

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• Experience building applications with LLMs or agentic AI frameworks
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• Familiarity with RAG, vector databases or embedding models
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• Prior experience in a media, publishing or digital content organisation
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