Architect, Ontology – AI Innovation
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Job Description
Architecting agentic AI, semantic, and knowledge-graph platforms for Kinaxis, a global supply-chain orchestration company. Connecting enterprise planning data into reusable platform capabilities.
Responsibilities:
- Provide hands-on technical leadership in agentic AI, knowledge graph, semantic, and data modeling architecture
- Design platform-level tooling connecting Maestro and planning data with warehouse management, inventory, Salesforce, partner agentic environments, and similar ecosystems
- Design data, graph, and integration architecture, including ingestion pipelines, transformation and mapping, entity resolution, schema alignment, validation, batch and streaming updates
- Enable agents to traverse enterprise data and graph structures
- Contribute to technical decisions across platform architecture, graph architecture, data modeling, AI integration, agentic workflows, quality evaluators, constraint validation, and query-time reasoning at scale
- Mentor others and help build a culture of structured thinking, semantic clarity, pragmatic platform architecture, agentic engineering, and product-oriented innovation
- Evaluate emerging graph, semantic, agentic AI, and enterprise data technologies and define trade-offs
- Translate emerging research and technologies into reusable, composable, extensible architecture patterns and product capabilities
Requirements:
- 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
- Strong hands-on experience designing platform-level software, developer tooling, composable capabilities, workbench-style products, prototypes, proof-of-concepts, or early systems
- Strong data modeling, semantic modeling, ontology, knowledge graph, or knowledge representation experience
- Experience defining reusable architecture patterns, data model governance, semantic or ontology standards, versioning, lifecycle management, and enterprise-domain alignment
- Ability to define long-term evolution strategies for agentic enterprise platforms
- Experience applying emerging techniques in agentic AI, knowledge representation, semantic systems, or enterprise data platforms
- Experience architecting large-scale graph, semantic, and data platforms
- Hands-on experience with knowledge graph, data, and integration platforms and pipelines
- Experience evaluating emerging graph, semantic, agentic AI, and enterprise data technologies
- Hands-on agentic AI and agentic engineering experience is required
- GitHub-native engineering practices
- Demonstrated ability to translate emerging research and technologies into scalable architecture patterns and product capabilities
- Strong technical judgment
- Ability to influence technical direction across product, engineering, platform, and customer-facing domains
- Excellent communication skills
- Ability to distinguish platform architecture from customer-specific implementation
- Ability to define quality architecture for agentic systems, including evaluators, validation patterns, constraints, and guardrails
- Nice to have: RDF, OWL, SHACL, SPARQL, temporal modeling, digital twins, operational intelligence systems, enterprise orchestration platforms, research/standards/open-source experience, enterprise SaaS, RAG, LLM applications, explainable AI, evaluators, or agentic quality frameworks
Benefits:
- Flexible vacation and Kinaxis Days (company-wide days off)
- Flexible work options
- Physical and mental well-being programs
- Regularly scheduled virtual fitness classes
- Mentorship programs, training, and career development
- Recognition programs and referral rewards
- Hackathons
- Accommodations upon request throughout the recruitment process
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