Solution Architect - Azure

EDUCARE HUMAN CAPITAL PRIVATE LIMITED

Singapore

On-site

SGD 120,000 - 180,000

Full time

13 days ago
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Job summary

Educare Human Capital is seeking an Azure AI Solution Architect to shape enterprise AI deployments for clients in Japan. You will design and deploy scalable AI solutions on the Azure platform, leading discovery sessions and crafting architecture specs to cover models, data pipelines, identity, security, and governance.

You will communicate trade-offs to C-level stakeholders and validate critical assumptions through hands-on PoCs, leveraging deep Azure expertise and AI know-how.

Qualifications

  • 5+ years of cloud-architecture experience with Microsoft Azure.
  • Strong understanding of modern AI systems, LLMs, and MLOps.
  • Ability to communicate technical trade-offs to C-level stakeholders.
  • Business-level fluency in English and Japanese.

Responsibilities

  • Design, architect, and deploy scalable AI-driven solutions on Azure.
  • Lead discovery sessions to identify enterprise AI use cases with measurable outcomes.
  • Create architecture design specs covering models, data, identity, security, and governance.
  • Act as the primary technical authority, validating assumptions through PoCs.

Skills

Azure cloud architecture
AI systems & MLOps
Executive communication
English & Japanese fluency

Job description

The Opportunity

Shape the future of enterpriseintelligence. As an Azure AI Solution Architect, you will spearhead the designand deployment of advanced AI architectures for top-tier enterprise clients inJapan. This is an opportunity to lead high-impact cloud transformations, movingcomplex AI initiatives from strategic evaluation through to productionadoption.

Core Responsibilities
  • Design, architect, and deployscalable AI-driven solutions leveraging the Microsoft Azure ecosystem.
  • Lead technical discoverysessions to identify and qualify enterprise AI use cases tied to measurablebusiness outcomes.
  • Develop robust architecturedesign specifications covering models, data pipelines, identity, security, andgovernance.
  • Act as the primary technicalauthority, validating critical assumptions through hands-on Proofs of Concept(PoCs).
Key Requirements
  • 5+ years of experience in cloudarchitecture, specifically designing solutions within Microsoft Azure.
  • Deep understanding of modern AIsystems, frontier LLMs, machine learning operations (MLOps), and enterprisedata workflows.
  • Executive presence with theability to communicate technical trade-offs to C-level stakeholders.
  • Business-level fluency inEnglish and Japanese.
Lawrence Pang l Educare Human Capital

Reg No.: R1989674 l EA License No: 11C4731

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