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Network Engineer- Automation & AI
ICT
Company shared salary
NA
Market rate
A$8,333–A$12,500/mo (A$99,996–A$150,000/yr)
Based on similar roles (title + domain + location).
About the Company
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. YOUR ROLE As an Access Network Engineer with a specialised focus on introducing AI & Automation to solution engineering and the delivery lifecycle, you will play a key role in building and scaling AI & Automation-powered engineering capabilities that improve efficiency, reduce manual effort, and enhance decision-making across design, testing, and deployment workflows. This is a hands-on engineering role focused on delivering real, production-grade solutions-from AI assistants to end-to-end automation pipelines-that will be used daily by engineering teams, transforming the way they design, test, and deploy network solutions.
Responsibilities
- ● Developing AI assistants to support engineering teams, including backlog
- ● management, development, test, knowledge retrieval, troubleshooting, and
- ● insights generation.
- ● Implementing "human-in-the-loop" models to ensure accuracy and trust, while
- ● ensuring security and responsible AI standards are followed.
- ● Building solutions leveraging existing Large Language Models (LLMs), prompt
- ● engineering, retrieval-augmented generation (RAG) & machine learning models
- ● for analysis and prediction.
- ● Identifying and automating repetitive or manual processes across design,
- ● test, and deployment workflows
- ● YOUR PROFILE
- ● + years in Layer 2 & 3 network engineering and solution development, with
- ● hands-on experience in building automation or AI/ML solutions
- ● Hands on experience building automation workflows, scripts, or pipelines.
- ● Hands-on experience with AI/ML or Generative AI technologies (LLMs, prompt
- ● engineering, RAG)
- ● CI/CD and DevOps practices (e.g. Jenkins, Ansible, GitHub Actions, Python,
- ● Exposure in one or both the below areas:
- ● FTTx Access Network: GPON/XGSPON (OLT, ONT), Intent Based Networking
- ● FTTx EMS Applications: Containerised (AAC), Virtualised (ACS, AMS),
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