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1 день назад

AI Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

AI Architect (Cloud/MLOps): Designing secure, scalable, and cost-efficient AI architectures for APAC deployments with an accent on the Marine Ground Digital Twin Platform. Focus on defining technical standards, building MLOps/LLMOps pipelines, and ensuring compliance with regional data sovereignty requirements.

Location: Must be a Singapore Citizen (SG) or Permanent Resident (PR). Onsite in Singapore.

Company

A global leader in Geo-data, providing invaluable insights to help clients design and operate assets safely and sustainably.

What you will do

  • Design secure, scalable, and cost-efficient AI system architectures and technical standards for regional APAC deployments.
  • Lead "build vs buy vs integrate" evaluations and produce detailed architecture artifacts, including solution designs and technical roadmaps.
  • Architect multi-cloud and hybrid solutions across Azure, AWS, and other compliant platforms, ensuring data sovereignty.
  • Govern AI/ML environments, selecting foundational models and designing RAG architectures and MLOps/LLMOps pipelines.
  • Integrate security controls, encryption, and access controls into all architectural decisions to align with global governance.

Requirements

  • Must be a Singapore Citizen or Permanent Resident (SG/PR).
  • Bachelor’s or Master’s degree in IT, Computer Science, Engineering, Data/AI, or equivalent experience.
  • 8+ years of experience in solution, software, data, or enterprise architecture.
  • Proficiency in SQL and Python for data access, analysis, and preparation.
  • Extensive experience with data platforms, data lakes, lakehouses, or data warehouses.
  • Strong understanding of security-by-design, privacy-by-design, and data governance.

Nice to have

  • Experience with RAG, model integration, agentic workflows, and secure enterprise deployment.
  • Hands-on experience with Microsoft Fabric, Databricks, Azure AI Foundry, or Copilot Studio.
  • Knowledge of MLOps, LLMOps, and AI evaluation frameworks.
  • Expertise in API design, DevOps, or Infrastructure-as-Code.
  • Relevant certifications in Azure, AWS, or Databricks.

Culture & Benefits

  • Opportunity to work on a pioneering Marine Ground Digital Twin Platform.
  • Role operates as a 3-year fixed-term contract.
  • Collaborative environment focusing on the "Geo-data revolution".

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