Enterprise Knowledge Graph & Ontology Architect

Kinaxis; Southwestern Ontario; Hybrid; CAD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible vacation

Kinaxis Days(company-wide days off)

Flexible work options

Well-being programs

Virtual fitness classes

Mentorship & training

Recognition & referrals

Hackathons

Job summary

Kinaxis is seeking a senior AI architect to lead agentic AI initiatives across enterprise planning, data modeling, and graph technologies. You will shape platform architecture, guide data integration with systems like warehouse/inventory, and mentor teams in scalable, product-focused AI solutions.

Applicants should hold advanced degrees in CS/AI and have hands-on experience with knowledge graphs, semantic modeling, and enterprise data platforms, delivering impact for global customers.

Qualifications

• Advanced degree in CS/AI with enterprise software focus.
• Deep understanding of enterprise supply chain systems and data modeling.
• Experience designing platform-level software and developer tooling.
• Strong knowledge graph, semantic modeling, and ontology skills.
• Ability to define reusable architecture patterns across domains.

Responsibilities

• Provide hands-on technical leadership in agentic AI and data modeling.
• Design platform-level tooling to connect planning data with enterprise systems.
• Lead architectural decisions for graph, data, and AI integration.
• Mentor team and promote structured thinking and pragmatic architecture.
• Translate research advances into scalable product capabilities.

Skills

Agentic AI

Knowledge graph

Semantic systems

Data modeling

Enterprise architecture

AI integration

Graph data platforms

Platform-level software

Education

Master's or PhD in CS/AI

Tools

RDF

OWL

SPARQL

SHACL

Job description

Kinaxis is seeking a senior AI architect to lead agentic AI initiatives across enterprise planning, data modeling, and graph technologies. You will shape platform architecture, guide data integration with systems like warehouse/inventory, and mentor teams in scalable, product-focused AI solutions.

Applicants should hold advanced degrees in CS/AI and have hands-on experience with knowledge graphs, semantic modeling, and enterprise data platforms, delivering impact for global customers.