Principal Solution Architect, AI Co-innovation
Core
Architecting and scaling industrial AI deployments, specifically designing data models and multi-agent systems for Cognite's AI Agents and Custom Front-end Applications.
Role type
Principal Solution Architect (AI Co-innovation)
Builds
Production-grade AI solutions, multi-agent systems, and scalable data models for industrial customers.
Domain
Industrial digitalization, AI, and data solutions.
Deliverable
production ML models | product features
Required skills
Enterprise-scale software architecture, LLMs and embeddings, prompt engineering, multi-agent system design, industrial data modeling, code review and testing, systems thinking, technical storytelling.
Preferred skills
Time series and knowledge graphs, Cognite Data Fusion, vector databases and RAG, cloud-native development (AWS/Azure/GCP), industrial control systems, agentic coding tools.
Responsibilities
Set and maintain standards for data model quality and system architecture, design and implement sophisticated industrial data models, architect multi-agent systems combining LLMs and tool use, collaborate with technical teams on-site to refine use cases, identify and document architectural patterns for repeatable delivery, mentor junior engineers in systems thinking and CDF best practices, feed customer feedback into the product roadmap.
Seniority
Principal, hands-on IC with strategic leadership