Solutions Architect - Azure Cloud (Japanese Speaking - Remote) #2209

EDUCARE HUMAN CAPITAL PRIVATE LIMITED

Singapore

Remote

SGD 140,000 - 200,000

Full time

5 days ago
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Job summary

EDUCARE HUMAN CAPITAL PRIVATE LIMITED in Singapore is seeking an Azure AI Solution Architect to lead enterprise AI transformations for Japan-based clients. You will design and implement scalable AI solutions within the Microsoft Azure ecosystem, guiding projects from discovery to production deployment.

You will act as the technical lead, running PoCs, delivering architecture specifications, and ensuring alignment with business objectives.

Qualifications

  • Minimum 5 years of experience in cloud architecture and Azure expertise.
  • Solid understanding of modern AI technologies, LLMs, MLOps and enterprise data workflows.
  • Business-level English and Japanese to communicate with enterprise clients in Japan.
  • Ability to explain technical decisions and trade-offs to C-level executives.

Responsibilities

  • Design and implement scalable AI solutions using the Microsoft Azure ecosystem.
  • Conduct technical discovery sessions to identify enterprise AI opportunities and align solutions with business objectives.
  • Develop architecture specifications covering AI models, data pipelines, identity management, security and governance.
  • Lead as the technical authority, validating architecture and feasibility through PoCs.

Skills

Microsoft Azure
Cloud architecture
AI technologies
LLMs
MLOps
Data workflows
Stakeholder management
English
Japanese

Tools

Azure DevOps
Azure ML

Job description

Azure AI Solution Architect

The Opportunity

Drive enterprise AI innovation by designing and implementing advanced AI solutions for leading enterprise clients in Japan. You will lead end-to-end AI and cloud transformation initiatives, guiding projects from initial technical assessment to successful production deployment.

Core Responsibilities

  • Design and implement scalable AI solutions using the Microsoft Azure ecosystem.
  • Conduct technical discovery sessions to identify enterprise AI opportunities and align solutions with measurable business objectives.
  • Develop architecture specifications covering AI models, data pipelines, identity management, security and governance.
  • Serve as the technical lead, validating architecture and solution feasibility through hands-on Proofs of Concept (PoCs).

Key Requirements

  • Minimum 5 years of experience in cloud architecture, with strong expertise in Microsoft Azure.
  • Solid understanding of modern AI technologies, Large Language Models (LLMs), MLOps and enterprise data workflows.
  • Strong communication and stakeholder management skills, with the ability to explain technical decisions and trade-offs to C-level executives.
  • Business-level proficiency in both English and Japanese to communicate effectively with enterprise clients in Japan.
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