Skip to main content

Network Engineer- Automation & AI

Capgemini
Melbourne, VIC
hybrid
Permanent / Full Time

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.

You will play a key role in:

  • 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

  • 6+ 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)
  • Experience building AI assistants and managing the lifecycle of the assistants
  • CI/CD and DevOps practices(e.g. Jenkins, Ansible, GitHub Actions, Python, ArgoCD)
  • 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)

What you'll love about working here

Experience a Positive Work-Life Balance: We prioritize your well-being with hybrid and flexible working arrangements, making it easy to balance your personal and professional life.

Own your Growth: Dive into endless learning opportunities with courses from Capgemini University and numerous external certifications. Benefit from digital learning platforms and specialized campuses in AI, Cloud, Data, and Sustainability. Propel your career with our award-winning Career Acceleration programs.

Thrive in an Inclusive Environment: We don't just believe in inclusion; we live it. Be part of a workplace that values authenticity, inclusion, and belonging. We encourage applications from all backgrounds, even if you don't meet every requirement. Research shows that individuals from underrepresented groups often hesitate to apply unless they meet every criterion. If you're excited about this role, we welcome your application and invite you to share what you can bring.

Work with Integrity: Join a company recognized by Ethisphere as one of the World's most Ethical companies.

Collaborate with Industry Leaders: Gain exposure to top global companies, including 145 of the Fortune 500, through your work with Capgemini.

Showcase Your Skills: Participate in our internal annual global tech challenges and help address world issues.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply for this job

Posted 27d ago

AI Developer

JANA
Melbourne, VIC | Sydney, NSW
hybrid
  • Design and deliver enterprise-grade AI solutions across the firm
  • 3-5 years software development and applied Generative AI experience
  • Python, SQL, LLMs, AI agents, Copilot Studio, Claude, Azure AI Foundry
Posted 17d ago

Lead AI Business Consultant

NICE
Sydney, NSW
hybrid
  • Drive AI adoption, stabilization & optimization for enterprise customers
  • 10+ years CCaaS consulting, CX operations or AI-enabled self-service
  • Conversational AI, prompt engineering, contact center KPIs, analytics
Posted 1d ago

HR Engagement Platforms Analyst – AI, Chatbot & Voice

CommBank
Sydney, NSW
hybrid
  • Design, build & improve HR chatbot, conversational AI & voice experiences
  • Entry to mid-level, experience beneficial but not essential
  • AWS Lex, Amazon Connect, conversational AI, Generative AI, Python
Posted 1d ago