Principal Architect

LCA.no is on a mission to enable industrial decarbonization through software. We’re the Norwegian market leader in product carbon footprint and life-cycle assessment (LCA) compliance software - the tools companies rely on to measure, document and reduce the environmental impact of what they make.

Born from Nordic academic research and now expanding across Europe, we sit at the intersection of regulation, sustainability data and enterprise software. As environmental documentation requirements multiply, demand for credible, automated, data-driven LCA is accelerating. With our strong sustainability team we’re building the platform to meet it.

With a market-leading product, a strong proprietary data foundation and AI moving to the core of our strategy, we’re at an inflection point: scaling from a Nordic leader into a global SaaS company, and from a strong software product into an AI-first platform.

The role

We’re hiring a Principal Architect, SaaS Platform & AI to shape the next generation of our platform and AI capabilities. This is a senior, strategic and hands-on role at the intersection of software architecture, AI architecture and product strategy.

You’ll work closely with the CTO and CPO, on how LCA.no builds, scales and applies AI across the business. It’s for someone who can define the target architecture, translate business needs into technical direction, prototype AI-enabled capabilities, guide external teams and establish the principles that help LCA.no become an AI-first SaaS company.

What you’ll do

• Own the platform architecture: define and evolve LCA.no’s SaaS architecture with a focus on scalability, reliability, security and product velocity.
• Drive AI architecture and use cases: design how AI capabilities are prototyped, integrated and governed across the platform and identify high-value opportunities across customer workflows, building proofs of concept that demonstrate real product value.
• Strengthen API and data architecture: support LCA.no’s create/share API strategy, integrations roadmap and data architecture as the platform scales.
• Establish principles and standards: set architecture standards, development practices and technical governance, aligned with recognized industry best practices and company standards.