Architect, AI/ML/Algo Developer

🕒 Outubro 9

🇬🇧 Reino Unido – Remoto (RU)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 10%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Kinaxis

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

🏥 Saúde

🏭 Manufatura

💰 $33.000.000 Venture Round em 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis é líder global em gestão moderna da cadeia de suprimentos. Atendemos cadeias de suprimentos e as pessoas que as gerenciam em prol da humanidade. Nosso software é confiado por marcas globais renomadas para fornecer a agilidade e previsibilidade necessárias para navegar na volatilidade e disrupção atuais. Combinamos nossa técnica de concorrência patenteada com uma abordagem centrada no humano para IA, capacitando empresas de todos os tamanhos a orquestrarem sua rede de cadeia de suprimentos de ponta a ponta, desde o planejamento estratégico de longo prazo até a execução em tempo real e entrega na última milha.

Descrição

• 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 enterprise systems such as warehouse management, inventory, Salesforce, and partner agentic environments • 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 • Define reusable architecture patterns and scalable platform capabilities • Evaluate emerging graph, semantic, agentic AI, and enterprise data technologies with defensible trade-off analysis • Translate emerging research and technologies into scalable architecture patterns and product capabilities • Mentor others and help build a culture of structured thinking, semantic clarity, pragmatic platform architecture, agentic engineering, and product-oriented innovation • Collaborate across product, engineering, platform, and customer-facing domains

🎯 Requisitos

• 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 alignment across enterprise domains • 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 integrating 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 patterns, and performance at scale • Hands-on agentic AI and agentic engineering experience is required • Experience using GitHub-native engineering practices • Demonstrated ability to identify, evaluate, and apply emerging research and technologies • Strong technical judgment • Demonstrated 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: experience with RDF, OWL, SHACL, or SPARQL • Nice to have: background in temporal modeling, digital twins, operational intelligence systems, or enterprise orchestration platforms • Nice to have: experience with research, standards, open-source projects, or innovation • Nice to have: experience with enterprise SaaS products 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

🏖️ Benefícios

• 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 to ensure fairness and accessibility throughout the recruitment process

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