Senior AI Solutions Architect for GenAI & Azure

Hitachi Solutions Germany

Greater London

On-site

GBP 90,000 - 130,000

Full time

6 days ago
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Job summary

Hitachi Solutions Europe Limited is seeking a senior AI/ML consultant to drive end-to-end AI solutions across clients. The role focuses on translating customer needs into scalable architectures, advising on best practices, and leading delivery from design to deployment.

You will work with Azure-based data platforms, GenAI workflows, and collaboration with multidisciplinary teams to deliver impactful transformations. A consultancy background is advantageous.

Qualifications

  • Experience integrating AI solutions into existing systems at scale using Azure.
  • Proficiency in Python or SQL for data analysis, ML and GenAI.
  • Experience with cloud platforms for data science and machine learning, preferably Azure.
  • Familiarity with generative AI frameworks and LLM tools.

Responsibilities

  • Capture client requirements and lead architecture for AI solutions to meet current and future needs.
  • Provide expert advisory services on AI best practices ensuring scalable deployment.
  • Lead teams from requirements gathering to solution design and implementation.
  • Define high-value business scenarios that benefit from AI, ML and GenAI.
  • Explore and analyse data from multiple sources using Azure tools and Databricks.

Skills

AI/ML
Azure
Python
SQL
Data visualization
Stakeholder mgmt

Education

Experience in data science / ML field

Tools

Azure Databricks
Azure Synapse
Azure ML
Power BI
Azure Data Factory

Job description

Hitachi Solutions Europe Limited is seeking a senior AI/ML consultant to drive end-to-end AI solutions across clients. The role focuses on translating customer needs into scalable architectures, advising on best practices, and leading delivery from design to deployment.

You will work with Azure-based data platforms, GenAI workflows, and collaboration with multidisciplinary teams to deliver impactful transformations. A consultancy background is advantageous.

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