Principal Solution Architect, AI Co-innovation

Principal Solution Architect, AI Co-innovation What Cognite is:
Relentless to achieve

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.

The AI Co-Innovation team operates at the intersection of Cognite's emerging product capabilities and our most forward-leaning customers. We work closely with product teams to operationalize new AI capabilities—hardening, scaling, and integrating them into production environments where they deliver real-world impact.

We drive transformational customer engagements, product improvements, and measurable outcomes. We take ideas from prototype to production, ensuring they’re reliable, scalable, and ready for repeatable delivery. Speed is central to how we work.

The team combines full-stack engineers, deployed AI engineers, and technical program managers working toward shared objectives.

As an Enterprise Solution Architect, you will be a high-leverage technical leader responsible for the architectural integrity and strategic success of our AI deployments. You will own the data model quality and architectural standards for Cognite AI Agents and Custom Front-end Applications, ensuring that complex industrial data is structured and contextualized to power world-class agentic systems.

This role sits at the center of our scaling strategy. You will act as the bridge between product engineering, domain experts, and delivery teams, translating high-level business problems into robust, scalable technical architectures. You are not just designing systems; you are establishing the repeatable patterns that will allow Cognite to transform the industrial world.

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…