Architect, Ontology – AI Innovation

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Deliver hands-on technical guidance in agentic AI, knowledge graph, semantic, and data modeling architecture.

• Create platform-level tools that connect Maestro and planning data with warehouse management, inventory, Salesforce, partner agentic environments, and similar ecosystems.

• Develop data, graph, and integration architecture, which includes ingestion pipelines, transformation and mapping, entity resolution, schema alignment, validation, and both batch and streaming updates.

• Facilitate agents' navigation through enterprise data and graph structures.

• Participate in technical decision-making related to platform architecture, graph architecture, data modeling, AI integration, agentic workflows, quality evaluators, constraint validation, and scalable query-time reasoning.

• Guide and mentor others while fostering a culture of structured thinking, semantic clarity, practical platform architecture, agentic engineering, and innovation focused on products.

• Assess emerging technologies in graph, semantic, agentic AI, and enterprise data while outlining trade-offs.

• Convert emerging research and technologies into reusable, composable, and extensible architecture patterns and product capabilities.

⛳️ Requirements

• Master’s or PhD in Computer Science, Artificial Intelligence, or a related discipline.

• Relevant experience in enterprise software architecture, applied AI, data modeling, knowledge graphs, semantic systems, or supply chain technology.

• Profound practical knowledge of enterprise supply chain systems or related operational systems.

• Extensive hands-on experience in designing platform-level software, developer tools, composable capabilities, workbench-style products, prototypes, proof-of-concepts, or early systems.

• Strong experience in data modeling, semantic modeling, ontology, knowledge graphs, or knowledge representation.

• Background in defining reusable architecture patterns, data model governance, semantic or ontology standards, versioning, lifecycle management, and enterprise-domain alignment.

• Capability to devise long-term evolution strategies for agentic enterprise platforms.

• Experience in applying innovative techniques in agentic AI, knowledge representation, semantic systems, or enterprise data platforms.

• Proven experience in architecting large-scale graph, semantic, and data platforms.

• Hands-on familiarity with knowledge graphs, data, and integration platforms and pipelines.

• Experience in evaluating new technologies in graph, semantic, agentic AI, and enterprise data.

• Required hands-on experience in agentic AI and agentic engineering.

• Proficiency in GitHub-native engineering practices.

• Demonstrated capability to translate emerging research and technologies into scalable architecture patterns and product functionalities.

• Strong technical judgment.

• Ability to influence technical direction across product, engineering, platform, and customer-facing areas.

• Excellent communication abilities.

• Skill in distinguishing platform architecture from customer-specific implementations.

• Ability to establish quality architecture for agentic systems, including evaluators, validation patterns, constraints, and guardrails.

• Nice to have: Knowledge of 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.

• Programs for physical and mental well-being.

• Regularly scheduled virtual fitness classes.

• Mentorship programs, training, and career development opportunities.

• Recognition programs and referral rewards.

• Hackathons.

• Accommodations available upon request throughout the recruitment process.