DATA AI Engineer
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Job Summary
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like where youll be supported and inspired bya collaborative community of colleagues around the world and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable more inclusive world.
Capgemini Japan is seeking an experienced AI Engineer to join our Insights and Data team. This role sits at the intersection of a large-scale insurance data ecosystemcovering customer agent transaction and policy dataand advanced AI-driven intelligence.
The successful candidate will design build and deploy scalable Generative AI and Predictive Analytics solutions that transform our Azure-based data lake into actionable insights and automated intelligent experiences. You will work closely with data engineers platform teams and business stakeholders to operationalize AI at enterprise scale.
AI & Model Development
- Design train and deploy predictive machine learning models and LLM-powered applications including Retrieval-Augmented Generation (RAG) systems.
- Leverage Azure Machine Learning and Azure AI Foundry to build scalable and production-ready AI solutions.
Data Integration & Collaboration
- Partner with data engineering teams to ingest and process high-volume datasets (Parquet CSV text) from Azure Data Lake Storage (ADLS) and Azure Synapse Analytics.
- Ensure seamless integration between data pipelines and AI workflows.
Application Architecture
- Develop serverless orchestration layers using Azure Functions to connect AI models with downstream applications and APIs.
- Support real-time and batch inference use cases.
Search & Storage Optimization
- Use Azure AI Search to enable low-latency retrieval for AI outputs embeddings and metadata.
- Contribute to efficient data and metadata storage strategies.
Operational Excellence & MLOps
- Implement MLOps best practices including model versioning monitoring and lifecycle management.
- Integrate AI workflows into CI/CD pipelines to enable automated testing and deployment.
Azure AI & Cloud Stack
- Hands-on experience with Azure Machine Learning Azure AI Foundry and Azure OpenAI Service.
Data & Analytics
- Strong understanding of Azure Data Lake Storage (ADLS) and Azure Synapse Analytics.
- Experience working with Parquet files and large-scale enterprise data environments.
Programming & Frameworks
- Proficiency in Python for AI/ML development.
- Working knowledge of Scala and Apache Spark aligning with enterprise ETL platforms.
Backend & Storage
- Experience building serverless solutions using Azure Functions.
- Familiarity with Azure Cosmos DB or other NoSQL data stores.
DevOps & Automation
- Knowledge of CI/CD tooling such as Azure DevOps or GitHub Actions to automate AI and ML workflows.
- Prior experience in the Insurance or Financial Services domain.
- Proven ability to extract actionable insights from complex customer and transactional datasets.
- Hands-on experience designing and implementing RAG-based AI systems.
- Familiarity with distributed data processing using Azure Databricks.
Capgemini is an AI-powered global business and technology transformation partner delivering tangible business value. We imagine the future of organizations and make it real with AI technology and people. With our strong heritage of nearly 60 years we are a responsible and diverse group of 420000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem leveraging our capabilities across strategy technology design engineering and business operations. The Group reported 2024 global revenues of 22.1 billion.
Make it real
Required Experience:
IC
About Company
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.
