We’re working with a large enterprise organisation looking for a Senior AI AWS Engineer to join a high-performing engineering team working on a major data migration and AI modernisation program.
This would suit an experienced Data Engineer who wants to move further into AI, while still working on complex data platforms, real-time systems and large-scale engineering problems.
What you’ll be doing
- Build and improve scalable data pipelines and platforms on AWS
- Work on a major enterprise data migration
- Build real-time and event-driven data systems
- Develop data solutions using Databricks
- Work with Generative and Agentic AI using Amazon Bedrock and AgentCore
- Help make technical and architectural decisions across the platform
- Work closely with experienced data, cloud, software and AI engineers
What we’re looking for
You’ll need to come from a strong Data Engineering background and have experience building production systems.
Ideally,
you’ll have:
- Strong AWS experience
- Hands-on Databricks
- Data pipelines and ETL/ELT
- Real-time, streaming or event-driven systems
- Python and SQL
- Exposure to Bedrock, AgentCore or similar GenAI technologies
- Experience working in larger, complex environments
Why join?
You’ll be joining a high-performing team working on challenging engineering problems at enterprise scale, with plenty of prospect to learn from strong engineers around you.
It’s also a great next step for a Data Engineer who wants to build their career in AI and agentic systems, without moving away from hands-on data engineering.
Interested?
Get in touch to learn more - ********@nuagetg.io
Additional information
- Hybrid and Flexible Working Arrangements
- AWS, Databricks, Bedrock & AgentCore
- Real-time systems & enterprise-scale AI
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📌 Senior AI AWS Engineer (Melbourne)
🏢 NuAge Tech Group
📍 Melbourne
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