Job Description
Technical Lead (AI Engineering) | Melbourne | Build the Future of Enterprise AI
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Own the AI strategy for a major Australian enterprise
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Lead a team while remaining deeply hands-on
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Build production AI systems that solve real customer problems at scale
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Most AI jobs today fall into one of two categories.
n They're either research-heavy roles where your work never reaches production. Or they're feature teams adding an LLM to an existing product and calling it AI.
n This isn't either of those.
n This is an prospect to define how AI is engineered across one of Australia's largest and most recognisable organisations. You'll take ownership of AI architecture, guide technical direction, and lead a team delivering intelligent systems that operate at genuine enterprise scale.
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What's in it for you?
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Own the technical direction for AI Engineering across a high-profile product platform.
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Lead a squad of engineers while staying hands-on with architecture and development.
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Build production AI systems that customers interact with every day.
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Work on Agentic AI, RAG, vector search, intelligent automation, and LLM-powered workflows.
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Influence engineering standards, AI architecture, and platform strategy from day one.
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Work alongside experienced engineering and product leaders who value technical excellence.
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The Role
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This is an AI Engineering role, not a Data Science position. You'll be responsible for taking AI capabilities from concept through to production, ensuring they're scalable, observable, secure, and commercially valuable.
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You'll lead a team of engineers while remaining close to the technology,



making key architectural decisions and helping establish the engineering practices that will underpin future AI initiatives.
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You'll work across areas such as:
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Large Language Models (LLMs)
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Retrieval-Augmented Generation (RAG)
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Agentic AI
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Vector databases
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Prompt and context engineering
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AI orchestration
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AI observability and evaluation
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Production AI platforms
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You'll collaborate closely with Product, Engineering and business stakeholders to identify opportunities where AI can deliver meaningful customer and commercial outcomes.
n What You're Bring You're probably a Software Engineer first, who has evolved into AI Engineering.
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You'll bring experience across:
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Strong C#/.NET engineering background
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Python for AI and backend services
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AWS cloud technologies (experience with Bedrock and SageMaker highly regarded)
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Distributed systems and event-driven architecture
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Microservices and API-first design
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Building and operating production AI or ML systems
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RAG, vector databases, AI agents, MCP or similar modern AI patterns
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CI/CD, observability, monitoring and engineering best practices
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Leadership experience is equally important. You'll have mentored engineers, influenced architecture, and helped raise the technical capability of the teams around you.
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Unfortunately, candidates requiring visa sponsorship or holding temporary work visas cannot be considered.
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If you're looking for one of Australia's most impactful AI Engineering opportunities, where you'll shape strategy, remain hands-on, and build AI systems that operate at genuine enterprise scale, we'd love to hear from you.

📌 Technical Lead (Ai Engineering) (Victoria)
🏢 The Onset
📍 Victoria