Supply Chain Tech - Center of Excellence

Cognitelead

In short

→Liderar la arquitectura técnica del Supply Chain CoE con enfoque en grafos de conocimiento y agentes de IA generativa.
→Trabajar día a día con modelos de datos, pruebas de agentes y demostraciones para clientes, alineando tecnología con valor comercial.
→Destacado: Crear playbooks deterministas y verificables de IA, no solo promptings, para resolver desviaciones en cadena de suministro.

Fluent English required for executive and technical collaboration.

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The questions they'll ask you

1. ¿Cómo diseñarías un skill de IA para detectar retrasos en insumos que afectan mantenimiento, garantizando fiabilidad en el grafo de conocimiento?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia en modelado de grafos de conocimiento en entornos industriales.
✓Conocimiento profundo de IA generativa con enfoque en agentic workflows y skills estructurados.
✓Habilidades de arquitectura de datos y experiencia con plataformas como Snowflake o Databricks.
✓Capacidad para traducir dominio industrial en modelos técnicos reutilizables.
✓Experiencia en valoración de impacto comercial (costos, retrasos, riesgos de pedido).
✓Habilidades de comunicación entre técnicos y ejecutivos (C-level).

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Cognite Data FusionKnowledge GraphGenerative AI AgentsLow-code AISnowflakeDatabricksERP IntegrationsCommand-center UXTestable PlaybooksDeterministic Agent Logic

Who should you write to at Cognite?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you’ll demonstrate Ownership As Tech Lead/Architect for the Supply Chain CoE, you own the technical spine of Cognite's Integrated Supply Chain offering — knowledge graph, generative AI agents, and command-center UX. You'll act as the subject-matter expert across source-make-deliver, modeling customers' supply chains and showing how AI/UI tools turn an integrated graph into deviation triage and resolution. You're equally comfortable in a C-level value conversation and a technical session on data models or agent skills. The bar goes beyond prompting AI: you'll engineer domain expertise into testable, deterministic playbooks — treating CoE knowledge as a rigorous system with guardrails, ground-truth testing, and staged rollouts. The Impact you bring to Cognite • Solution & CoE Strategy: Align the CoE on high-impact use cases (e.g., delayed inbound spare → maintenance delay → order risk) and deploy them as demos or customer solutions. • Knowledge-Graph Data Modeling: Lead customer modeling sessions; show how domain data models and complex hierarchies absorb requirements securely and at scale. • Data & AI Architecture: Guide customers on adopting our graph/AI/UI stack, including integration patterns (Snowflake, Databricks, ERPs) and why agents must be grounded in deterministic graph paths. • AI Skill-System Authorship: Turn domain expertise into structured AI skills with fixed parameters, guardrails, and testable anchors, keeping data models and agent logic aligned. • Agentic Tooling & QA: Serve as escalation point for complex graph queries and agent/UI design; own testing and evaluation frameworks, classifying failures rigorously before changing agent logic. • Enterprise Architecture & Value Selling: Support end-to-end architecture reviews and quantify commercial impact (orders at risk, delay penalties, landed costs) for executive business cases. • Partner Enablement & Documentation: Equip partners with reusable demos and accelerators; maintain clear, consistent terminology across models, docs, and AI logic. Required Qualifications • Deep knowle

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