Capgemini Global Insights & Data business line is a market leader in Data Engineering, Cloud Data Platforms, Data Science, and AI and Advanced Analytics across all sectors including financial services, public sector, consumer products, telecommunication & energy resources. Our offerings include end-2-end data integration to cloud platforms, complete suite of data engineering capabilities and a category of sector-based advanced analytics and AI driven solutions.

This is a unique opportunity within the Insights & Data (I&D;) Global Business Line (GBL) to help grow the data, AI and Data Science engagements across all sectors in Australia and New Zealand. You will help shape and deliver complex projects and programs of work for our clients. You will understand our client’s need to bring maximum value, impact, and innovation to the market as you oversee the delivery of client engagements for data and AI initiatives.

Let’s talk about the roles and responsibilities:

- Experience working in the field of generative AI applying large language models to real world problems.
- Experience working with agentic AI frameworks such as Langgraph, Autogen and CrewAI etc.
- Hands-on experience designing and managing collaborative multi-agent systems, including task decomposition, tool usage (APIs, databases), memory handling, and coordination between agents to achieve reliable, production-grade outcomes.
- Hands-on experience implementing end-to-end MLOps/LLMOps practices such as CI/CD pipelines, model/version management, prompt/version tracking, monitoring (drift, hallucination, performance), and continuous improvement of deployed solutions.
- Build data science and AI solutions for clients relating to their business problems in areas such as generative AI, NLP, computer vision, machine learning, etc.
- Collaborate with sales and engagement teams to build client proposals in response to RFPs.
- Experience in designing end-to-end Generative AI/ Data Science solutions.





About the Service Line:

Capgemini Global Insights & Data business line is a market leader in Data Engineering, Cloud Data Platforms, Data Science, and AI and Advanced Analytics across all sectors including financial services, public sector, consumer products, telecommunication & energy resources. Our offerings include end-2-end data integration to cloud platforms, complete suite of data engineering capabilities and a category of sector-based advanced analytics and AI driven solutions.

This is a unique opportunity within the Insights & Data (I&D;) Global Business Line (GBL) to help grow the data, AI and Data Science engagements across all sectors in Australia and Current Zealand. You will help shape and deliver complex projects and programs of work for our clients. You will understand our client’s need to bring maximum value, impact, and innovation to the market as you oversee the delivery of client engagements for data and AI initiatives.

Let’s talk about the roles and responsibilities:

- Experience working in the field of generative AI applying large language models to real world problems.
- Experience working with agentic AI frameworks such as Langgraph, Autogen and CrewAI etc.
- Hands-on experience designing and managing collaborative multi-agent systems, including task decomposition, tool usage (APIs, databases), memory handling, and coordination between agents to achieve reliable, production-grade outcomes.
- Hands-on experience implementing end-to-end MLOps/LLMOps practices such as CI/CD pipelines, model/version management, prompt/version tracking, monitoring (drift, hallucination, performance), and continuous improvement of deployed solutions.
- Build data science and AI solutions for clients relating to their business problems in areas such as generative AI, NLP, computer vision, machine learning, etc.
- Collaborate with sales and engagement teams to build client proposals in response to RFPs.
- Experience in designing end-to-end Generative AI/ Data Science solutions.

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📌 Senior AI Engineer - Data Scientist (Sydney/Melbourne) (New South Wales)
🏢 Capgemini
📍 New South Wales