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Kinaxis
Kinaxis
1,001 – 5,000 Employees
H1B Visa SponsorConsultingHealthcareManufacturing
Kinaxis develops supply chain orchestration software that helps organizations plan, manage, and respond to complex operations. Its Maestro platform combines AI-infused planning, advanced analytics, and real-time data visibility to support more informed decisions across the supply chain. The company’s solutions are relevant to organizations in areas including manufacturing, healthcare, and consulting, with a focus on improving efficiency, anticipating demand, and adapting quickly when disruptions occur.
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AI/ML and Agentic Systems Architect

Lead architecture for agentic AI, semantic, and knowledge-graph platforms supporting Kinaxis supply-chain orchestration software. Connect planning data with enterprise systems while building reusable AI capabilities at scale.

GBUnited KingdomRemoteFull-timeMiddleSeniorEnglish RequiredAI EngineerMachine Learning Engineer

Description

  • Lead hands-on architecture for agentic AI, knowledge graphs, semantic systems, and data modeling
  • Create platform tooling that connects Maestro and planning data with warehouse management, inventory, Salesforce, and partner agentic environments
  • Design data, graph, and integration architectures covering ingestion, transformation, mapping, entity resolution, schema alignment, validation, and batch or streaming updates
  • Enable agents to navigate enterprise data and graph structures
  • Shape technical decisions spanning platform and graph architecture, data modeling, AI integration, agentic workflows, quality evaluators, constraint validation, and query-time reasoning at scale
  • Establish reusable architecture patterns and scalable platform capabilities
  • Assess emerging graph, semantic, agentic AI, and enterprise data technologies through clear trade-off analysis
  • Turn emerging research and technologies into scalable architecture patterns and product capabilities
  • Mentor colleagues and foster structured thinking, semantic clarity, pragmatic platform architecture, agentic engineering, and product-focused innovation
  • Partner across product, engineering, platform, and customer-facing teams

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
  • Strong practical understanding of enterprise supply chain or related operational systems
  • Hands-on experience designing platform software, developer tooling, composable capabilities, workbench products, prototypes, proof-of-concepts, or early-stage systems
  • Strong background in data modeling, semantic modeling, ontologies, knowledge graphs, or knowledge representation
  • Experience establishing reusable architecture patterns, data-model governance, semantic or ontology standards, versioning, lifecycle management, and cross-domain alignment
  • Ability to plan the long-term evolution of agentic enterprise platforms
  • Experience applying emerging methods in agentic AI, knowledge representation, semantic systems, or enterprise data platforms
  • Experience architecting large-scale graph, semantic, and data platforms that combine structured, semi-structured, and unstructured data
  • Hands-on experience with knowledge graph, data, and integration platforms and pipelines
  • Experience with ingestion, transformation, entity resolution, schema or ontology alignment, validation, update strategies, and large-scale performance
  • Required hands-on experience with agentic AI and agentic engineering
  • Experience with GitHub-native engineering practices
  • Ability to identify, assess, and apply emerging research and technologies
  • Strong technical judgment
  • Ability to influence technical direction across product, engineering, platform, and customer-facing groups
  • Excellent communication skills
  • Ability to separate platform architecture from customer-specific implementation
  • Ability to define quality architecture for agentic systems, including evaluators, validation patterns, constraints, and guardrails
  • Nice to have: experience with RDF, OWL, SHACL, or SPARQL
  • Nice to have: experience with temporal modeling, digital twins, operational intelligence, or enterprise orchestration platforms
  • Nice to have: experience in research, standards, open-source projects, or innovation
  • Nice to have: experience with enterprise SaaS and operating AI, graph, data, or agentic platforms at scale
  • Nice to have: experience with RAG, LLM applications, explainable AI, evaluators, or agentic quality frameworks

Benefits

  • Flexible vacation plus Kinaxis Days, including company-wide days off
  • Flexible working arrangements
  • Programs supporting physical and mental well-being
  • Regular virtual fitness classes
  • Mentorship, training, and career development programs
  • Recognition programs and referral rewards
  • Hackathon opportunities
  • Recruitment accommodations available on request to support fairness and accessibility

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