Architect, Ontology – AI Innovation

🔥 12 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $33M Venture Round on 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• 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