Ontologist, Agentic Platform Architect

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

Ottawa and Toronto, CA
- Hybrid

Other Canadian locations
- Remote

The AI team is responsible for advancing machine learning solutions in the supply and demand space across industries such as Retail, Consumer Packaged Goods, and Life Sciences. Our work spans forecasting, optimization, replenishment, recommendation, explainability, and emerging AI techniques that help customers solve complex, real-world planning challenges.

What makes this team unique is that we operate at the intersection of applied research, product innovation, and customer impact. We explore new methods, develop novel approaches, and turn them into practical capabilities that can shape the future of the Kinaxis platform. This is a team for people who want to work on meaningful problems, push the boundaries of applied AI in real business settings, and see their ideas influence products used by customers around the world.

This is an existing job vacancy

• You bring deep expertise in agentic AI, enterprise platform architecture, supply chain systems, data modeling, and knowledge graph or semantic technologies, and you are energized by translating complex enterprise domains into reusable, machine-understandable platform capabilities.
• You thrive in a fast-moving, ambiguous, startup-like product environment where agentic engineering dramatically compresses delivery cycles and requires strong judgment, speed, and adaptability.
• You provide hands‑on technical leadership in agentic AI, knowledge graph, semantic, and data modeling architecture while designing platform‑level tooling that can connect Maestro and planning data with broader enterprise systems such as warehouse management, inventory, Salesforce, and partner agentic environments or similar ecosystems.
• You design the underlying data, graph, and integration architecture, including ingestion pipelines, transformation and mapping, entity resolution, schema alignment, validation, batch and streaming updates, and patterns that allow agents to traverse enterprise data and graph structures.
• You contribute to key technical decisions across platform architecture, graph architecture, data modeling, AI integration, agentic workflows, quality evaluators, constraint validation, and query‑time reasoning at scale.
• You will mentor others and help build a culture of structured thinking, semantic clarity, pragmatic platform architecture, agentic engineering, and product‑oriented innovation.

• Masters or PhD in Computer Science, Artificial Intelligence or a related field. Relevant experience in enterprise software architecture, applied AI, data modeling, knowledge graph or semantic systems, or supply chain technology.
• Deep practical understanding of enterprise supply chain systems or adjacent operational systems, including what data exists in those systems, how it is modeled, how to connect to it, and how it can be used to solve real business problems.
• Strong hands‑on experience building designing platform‑level software, developer tooling, composable capabilities, workbench‑style products, prototypes, proof‑of‑concepts, or early systems that demonstrate the value of structured knowledge and agentic AI.
• Strong data modeling, semantic modeling, ontology, knowledge graph, or knowledge representation experience, with the ability to apply these skills pragmatically to supply chain and enterprise platform problems.
• Experience defining reusable architecture patterns, data model governance, semantic or ontology standards, versioning, lifecycle management, and alignment across enterprise domains.
• Ability to define long‑term evolution strategies for agentic enterprise platforms, balancing speed of delivery with durable, scalable, and extensible design.
• Experience applying…