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

Eleks· lever· published 06/25/2026
Must-have:AWSAzureGoogle CloudCloudDataAISecurityLead

ELEKS is looking for an AI/Data Platform Architect (Digital Twin/Knowledge Graph) in Canada. Alberta-based candidates are strongly preferred (Calgary or Edmonton). Canada-based candidates will also be considered.

ABOUT CLIENT Our customer is building a next-generation AI platform that enables organizations to securely develop, govern, and operationalize artificial intelligence while ensuring that sensitive data and organizational knowledge remain fully under their control. The platform combines advanced AI capabilities with enterprise-grade governance, security, and data sovereignty to support mission-critical decision-making. The solution serves government organizations and enterprise customers operating in highly regulated and security-sensitive environments, where reliability, accountability, and trust are essential. The platform supports intelligent decision-making across strategic planning, workforce intelligence, and organizational operations, helping customers leverage AI without compromising security, compliance, or control over their data.

REQUIREMENTS 8+ years of experience designing enterprise data or AI platforms

Strong experience with cloud-native data architectures

Experience building AI-enabled data platforms

Exposure to Knowledge Graphs, Digital Twin platforms, or semantic technologies

Strong understanding of distributed systems and data integration

Experience with Azure, AWS or GCP

Familiarity with modern AI ecosystems including LLMs and Retrieval-Augmented Generation (RAG)

Experience defining architecture roadmaps and technical strategy

Excellent client-facing communication skills

Upper-Intermediate or higher level of English

RESPONSIBILITIES Design end-to-end AI and data platform architecture

Define platform capabilities supporting Digital Twin and Knowledge Graph solutions

Collaborate with AI, data engineering, and infrastructure teams

Lead architecture discussions with client stakeholders

Define scalable cloud-native platform patterns

Evaluate emerging AI technologies and recommend architecture improvements

Produce technical architecture documentation

Support solution discovery and roadmap planning