Tech Lead/Solution Architect - Supply Chain, Center of Excellence

Cognite; Oslo; On-site; NOK 1,100,000 - 1,700,000; Full time

Benefits offered by this job

Diversity & Inclusion

Private health services

On-site gym

Job summary

Cognite is seeking a Tech Lead/Architect for the Supply Chain CoE to own the technical spine of Cognite's Integrated Supply Chain offering. You will model domain data, design AI/agent skills, and drive deterministic graph-based deviation triage and resolution.

You’ll bridge executive value discussions and hands-on data modeling, with a focus on scalable, guard-railed systems. The role requires deep domain knowledge, hands-on Python and TypeScript/React, and experience with Snowflake, Databricks,

Qualifications

• Deep knowledge of industrial supply chain planning/execution and links to production, quality, maintenance.
• 5+ years in industrial supply chain and 5+ years in pre-sales, solution architecture, or delivery for enterprise software.
• Experience designing industrial information/knowledge-graph data models and integrating structured/unstructured enterprise data.
• Hands-on Python and frontend TypeScript/React with strong engineering discipline (ADRs, automated testing, CI/CD).
• Systemic AI/testing mindset with multi-stage evaluation and guardrails, not just prompting.
• Excellent client-facing skills to translate data/AI concepts for engineers to C-level execs.
• Familiarity with Snowflake, Databricks, Spark/SQL, ERP/MES/WMS/TMS, and agentic AI/LLM workflow design.
• Bachelor's degree or equivalent practical experience in a high-growth environment.

Responsibilities

• Lead knowledge-graph data modeling and integration in Cognite's supply chain solutions.
• Shape CoE strategy and deploy high-impact use cases as demos or customer solutions.
• Guide customers on graph/AI/UI stack adoption and deterministic paths for AI agents.
• Own testing frameworks and QA, classifying failures before changing agent logic.
• Support end-to-end architecture reviews and quantify business impact for executives.
• Create reusable demos and accelerators; ensure consistent terminology across models and docs.

Skills

Supply chain planning

Industrial supply chain

Python

TypeScript/React

CI/CD

AI/LLM workflow design

Client-facing communication

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Spark/SQL

ERP/MES/WMS/TMS

Job description

What Cognite is:

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 knowledge of industrial supply chain planning/execution and its links to production, quality, and maintenance; fluency with ISA-95/88 and SCOR frameworks.
• 5+ years in industrial supply chain (planning, logistics, inventory) and 5+ years in pre‑sales, solution architecture, or delivery for enterprise software.
• Experience designing industrial information/knowledge‑graph data models (temporal relations, typed hierarchies) and integrating structured/unstructured enterprise data.
• Hands‑on proficiency in Python and frontend (TypeScript/React), with strong engineering discipline (ADRs, automated testing, CI/CD).
• Systemic AI/testing mindset: optimized tool routing, rigorous multi‑stage evaluation, root‑cause debugging, and graceful handling of edge cases — not just prompting.
• Excellent client‑facing skills, able to translate complex data/AI concepts for audiences from engineers to C‑level executives.
• Familiarity with modern data platforms (Snowflake, Databricks, Spark/SQL), source systems (ERP/MES/WMS/TMS), and agentic AI/LLM workflow design.
• Prior experience in high‑growth (startup/scale‑up) environments; Bachelor's degree or equivalent practical experience.

A snapshot of our many perks and benefits as a Cogniter

• Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus
• A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata to know more
• Flat structure with direct access to decision-makers
• Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology
• Join our HUB to be part of the conversation directly with Cogniters and our partners.
• Get access to private health services with Cognite Care.
• Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House)
• Our own Cognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
• We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully‑staffed gym on‑site.
• A pet lover? Get the chance to meet Spot at the Robot Garden.

Learn More About Us

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.