Architect, Ontology & AI Innovation
Kinaxis Inc.13 days ago
Remote, United Kingdom or Remote, EMEAStaff+
Responsibilities
- Provide hands-on technical leadership in agentic AI, knowledge graph, semantic, data modeling, and enterprise platform architecture.
- Design large-scale graph, semantic, data, and integration architectures connecting planning, warehouse, inventory, and other enterprise systems.
- Build ingestion pipelines and patterns for transformation, mapping, entity resolution, schema or ontology alignment, validation, and batch or streaming updates.
- Define architecture for agent traversal, query-time reasoning, quality evaluators, constraint validation, guardrails, and scalable agentic workflows.
- Establish reusable architecture patterns, data model governance, semantic and ontology standards, versioning, and lifecycle management.
- Evaluate emerging graph, semantic, agentic AI, and enterprise data technologies and make defensible technical trade-offs.
- Mentor team members and influence technical direction across product, engineering, platform, and customer-facing domains.
Requirements
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Relevant experience in enterprise software architecture, applied AI, data modeling, knowledge graphs, semantic systems, or supply chain technology.
- Deep practical understanding of enterprise supply chain or adjacent operational systems, including their data models and integration patterns.
- Hands-on experience designing platform-level software, developer tooling, composable capabilities, workbench-style products, prototypes, proof-of-concepts, or early systems.
- Strong experience with data modeling, semantic modeling, ontologies, knowledge representation, knowledge graphs, or related systems.
- Experience defining reusable architecture patterns, governance, standards, versioning, lifecycle management, and cross-domain alignment.
- Required hands-on agentic AI and agentic engineering experience, including building software artifacts, applications, plans, evaluators, or workflows.
- Experience translating emerging research and technologies into scalable, reusable, composable, and extensible product capabilities.
- Ability to distinguish reusable platform architecture from customer-specific implementation.
- Excellent communication, technical judgment, collaboration, and mentoring skills.
- Preferred experience with RDF, OWL, SHACL, SPARQL, temporal modeling, digital twins, operational intelligence, enterprise orchestration, enterprise SaaS, RAG, LLM applications, explainable AI, evaluators, or agentic quality frameworks.
- Preferred contributions to research, standards, open-source projects, or innovation in semantic systems, applied AI, agentic AI, or enterprise data platforms.
Benefits
- Remote work from anywhere in the UK and Europe region.
- Flexible vacation and Kinaxis Days, which are company-wide days off.
- Flexible work options.
- Physical and mental well-being programs, including regularly scheduled virtual fitness classes.
- Mentorship, training, and career development programs.
- Recognition programs, referral rewards, and hackathons.
- Accessibility accommodations are available throughout the recruitment process.
Categories
About Kinaxis Inc.
Kinaxis builds RapidResponse, a cloud-based supply chain planning and orchestration platform used for S&OP, demand/supply planning, and risk management by enterprises in automotive, life sciences, high tech, and industrial sectors. It sells subscription software and related services to manage end-to-end supply chains. Founded in 1984 and headquartered in Ottawa, the company is publicly traded on the Toronto Stock Exchange (KXS).