Data AI Engineer

Job Description

Appealing Points:

• Opportunity to work on cutting-edge AI and LLM applications (including RAG) using Azure AI ecosystem (ML, OpenAI, AI Foundry)
• End-to-end exposure from data platforms (ADLS, Synapse, Databricks) to MLOps and CI/CD for scalable AI solutions
• Build scalable, production-grade architectures using serverless (Azure Functions) and AI-powered search (Azure AI Search)

Annual Salary : 8 million yen and above

Job Description

• 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.

Job Qualification:

• 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

Preferred Qualifications

• 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.

Language Proficiency: Business level Japanese(N2)  and Business-level English

About Company:

This company is one of the largest IT consulting companies in Europe, with more than 200,000 employees based in locations in over 40 countries.

As a global leader in consulting, technology services and digital transformation, they were established in 2013 as a Japanese corporation of the world's leading IT consulting company at the forefront of innovation, and they offer a wide range of integrated services with the highest level of technology and abundant expertise.