Supply Chain Tech Lead & Architect — AI, Knowledge Graph

Cognite; Oslo; On-site; NOK 1,200,000 - 1,600,000; Full time

Benefits offered by this job

Diversity, Equality and Inclusion (DEI

Private health services

On-site gym

Subsidized lunch

Cognite coffee bar

Job summary

Cognite seeks a Tech Lead/Architect for the Supply Chain CoE to own the technical spine of its integrated supply chain offering. You will model domain data, design the AI/graph stack, and guide clients through scalable, deterministic solutions.

You will bridge conversations from C-level value discussions to detailed data-model discussions, ensuring guardrails and testable playbooks govern the systems.

Qualifications

• Deep knowledge of industrial supply chain planning/execution and related frameworks.
• 5+ years in industrial supply chain and 5+ years in enterprise software delivery.
• Experience designing knowledge-graph data models and integrating data sources.
• Hands-on in Python and frontend with strong engineering disciplines.
• Excellent client-facing skills, able to translate complex concepts.

Responsibilities

• Own the technical spine of Cognite's Integrated Supply Chain offering.
• Lead knowledge-graph modeling across source-make-deliver scenarios.
• Guide customers on graph/AI/UI stack adoption and integration patterns.
• Ground AI tools with deterministic playbooks and guardrails.
• Own testing/evaluation frameworks and triage complex graph queries.
• Support architecture reviews and quantify business impact for execs.

Skills

Supply chain domain knowledge

ISA-95/SCOR fluency

Solution architecture

Python

TypeScript/React

AI governance & testing

C-level communication

ERP/MES/WMS/TMS knowledge

Data platforms (Snowflake/Databricks)

Education

Bachelor's degree or equivalent practical experience

Tools

Snowflake

Databricks

React

Job description

Cognite seeks a Tech Lead/Architect for the Supply Chain CoE to own the technical spine of its integrated supply chain offering. You will model domain data, design the AI/graph stack, and guide clients through scalable, deterministic solutions.

You will bridge conversations from C-level value discussions to detailed data-model discussions, ensuring guardrails and testable playbooks govern the systems.