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Kinaxis
Kinaxis
1,001 – 5,000 कर्मचारी
H1B वीज़ा प्रायोजकपरामर्शविनिर्माणस्वास्थ्य सेवा
Kinaxis ऐसा सप्लाई चेन ऑर्केस्ट्रेशन सॉफ़्टवेयर विकसित करता है, जो संगठनों को जटिल परिचालनों की योजना बनाने, उन्हें प्रबंधित करने और उनके प्रति प्रतिक्रिया देने में मदद करता है। इसका Maestro प्लेटफ़ॉर्म एआई-सक्षम योजना, उन्नत विश्लेषण और रीयल-टाइम डेटा दृश्यता को एक साथ लाता है, जिससे सप्लाई चेन में अधिक सूचित निर्णय लेने में सहायता मिलती है। कंपनी के समाधान विनिर्माण, स्वास्थ्य सेवा और परामर्श सहित विभिन्न क्षेत्रों के संगठनों के लिए उपयोगी हैं और दक्षता बढ़ाने, मांग का पूर्वानुमान लगाने तथा व्यवधान आने पर तेज़ी से अनुकूलन करने पर केंद्रित हैं।
LinkedIn
कंपनी की नौकरियाँ

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.

GBयूनाइटेड किंगडमरिमोटपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीAI इंजीनियरमशीन लर्निंग इंजीनियर

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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