Architect, Ontology

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. 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. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers. 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. 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. 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 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 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 emerging techniques in agentic AI, knowledge representation, semantic systems, or enterprise data platforms, with a track record of translating new concepts into practical, product-oriented solutions. Architect large-scale graph, semantic, and data platforms that integrate structured, semi-structured, and unstructured data across planning, warehouse, inventory, and other enterprise systems. Hands-on experience with knowledge graph, data, and integrati