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2 дня назад

AI/Data Platform Architect (Digital Twin/Knowledge Graph)

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

AI/Data Platform Architect (Digital Twin/Knowledge Graph): Designing and implementing a next-generation secure AI platform for government and enterprise clients with an accent on data sovereignty and governance. Focus on building Knowledge Graph and Digital Twin capabilities, defining cloud-native architecture roadmaps, and integrating LLMs via RAG.

Location: Must be based in Canada (Alberta-based candidates in Calgary or Edmonton are strongly preferred)

Company

hirify.global is a custom software development company providing a full range of software engineering services as an innovation partner since 1991.

What you will do

  • Design end-to-end AI and data platform architecture for highly regulated and security-sensitive environments.
  • Define platform capabilities specifically supporting Digital Twin and Knowledge Graph solutions.
  • Develop scalable cloud-native platform patterns and produce detailed technical architecture documentation.
  • Lead architecture discussions, solution discovery, and roadmap planning with client stakeholders.
  • Collaborate with AI, data engineering, and infrastructure teams to operationalize AI capabilities.
  • Evaluate emerging AI technologies and recommend architecture improvements to maintain a cutting-edge platform.

Requirements

  • 8+ years of experience designing enterprise data or AI platforms.
  • Strong expertise in cloud-native data architectures using Azure, AWS, or GCP.
  • Experience with Knowledge Graphs, Digital Twin platforms, or semantic technologies.
  • Familiarity with modern AI ecosystems, including LLMs and Retrieval-Augmented Generation (RAG).
  • Solid understanding of distributed systems and data integration.
  • English: Upper-Intermediate (B2) or higher required.

Culture & Benefits

  • Ability to directly influence project technologies and architectural decisions.
  • Close cooperation with the customer on mission-critical AI projects.
  • Opportunity for professional competence development within a team of experts.
  • Dynamic work environment characterized by a low level of bureaucracy.

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