Tech Lead & Solution Architect, Supply Chain CoE (AI & Graph)

Cognite; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Lunch allowances

Private health services

Gym on-site

Diversity & Inclusion focus

Job summary

Cognite seeks a Tech Lead/Architect for the Supply Chain CoE to own the technical spine of Cognite's Integrated Supply Chain offering—knowledge graphs, generative AI agents, and a command-center UX. You will model source-make-deliver relationships and translate domain expertise into deterministic playbooks with guardrails.

You’ll engage in C-level value conversations and lead engineering discussions on data models, agent skills, and integration patterns with Snowflake, Databricks, and

Qualifications

• Deep knowledge of industrial supply chain planning/execution and its links to production, quality and maintenance.
• Experience designing industrial information/knowledge-graph data models and integrating structured/unstructured data.
• Hands-on experience with Python and frontend technologies; strong engineering discipline.

Responsibilities

• Lead CoE on high-impact use cases and deploy demos or customer solutions.
• Model and optimize knowledge-graph data representations across source-make-deliver.
• Guide customers on adopting graph/AI/UI stacks and grounding agents in deterministic paths.
• Architect and review enterprise solutions with a focus on business impact.
• Develop scalable, testable AI skills and guardrails for production use.

Skills

Supply chain domain knowledge

ISA-95/88 & SCOR

Python

TypeScript/React

CI/CD & ADRs

Pre-sales / solution architecture

Customer-facing skills

Knowledge graphs / data modeling

AI/LLM workflows

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Spark/SQL

Job description

Cognite seeks a Tech Lead/Architect for the Supply Chain CoE to own the technical spine of Cognite's Integrated Supply Chain offering—knowledge graphs, generative AI agents, and a command-center UX. You will model source-make-deliver relationships and translate domain expertise into deterministic playbooks with guardrails.

You’ll engage in C-level value conversations and lead engineering discussions on data models, agent skills, and integration patterns with Snowflake, Databricks, and