Principal Solution Architect, AI Co-innovation

Own Architectural Excellence: Set and maintain the standards for data model quality and system architecture across strategic accounts to ensure reliable, production-grade AI solutions.

Architect Complex Data Models: Design and implement sophisticated industrial data models within Cognite Data Fusion (CDF), providing the necessary "ground truth" for LLMs and agentic workflows.

Design agent workflows: Architect multi-agent systems that combine LLMs, tool use, evaluation loops, and reasoning over industrial data.

Execute directly with customers: Collaborate with technical teams on-site to refine use cases and integrate solutions into production environments.

Scale Repeatable Patterns: Identify and document architectural patterns that reduce delivery friction and enable the team to move from bespoke prototypes to repeatable, enterprise-scale impact.

Mentor and Elevate: Raise the technical ceiling of the Co-Innovation team by mentoring more junior engineers in systems thinking and CDF best practices.

Shape the product: Feed learnings and customer feedback into the product roadmap systematically - ensuring we build the most compelling industrial AI platform in the market.

Senior Engineering Background: 10+ years of experience in software engineering or solution architecture, with a "builder" mindset and the ability to dive into the code when necessary.

Ideally, you have also worked with AI solution architecture, or similar roles - including direct customer-facing work

You've built with AI systems.

Hands-on experience with LLMs, embeddings, prompt engineering, and related techniques.

Solution Leadership: You have a proven track record of designing and shipping enterprise-scale software architectures, preferably in an AI or data-heavy context.

You communicate clearly.

Strong storytelling skills for both technical and executive audiences.

You write quality code.

Clean, maintainable, and scalable - with solid practices around testing, version control, and code review.

You work at the frontier.

Familiarity with modern AI development workflows, rapid iteration, and agentic engineering tools as part of your daily workflow.

Nice to Have

• Understanding of industrial data types (time series, knowledge graphs)
• Experience with Cognite Data Fusion
• Familiarity with vector databases and RAG architectures
• Cloud-native development experience (AWS, Azure, GCP)
• Exposure to industrial domains - manufacturing, energy, process industries
• Experience with industrial control systems
• Deep fluency with agentic coding tools and an understanding of what they mean for the future of software engineering - and industrial workflows

A snapshot of our many perks and benefits as a Cogniter

• Impact 2025

• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.