Portfolio Architect
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Espoo, Finland"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€2,150–€4,500). The listed pay band (€208–€240) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 701 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Espoo, Finland | €2,150/per month | €2,688/per month | €4,500/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €208/per month | €224/per month | €240/per month |
Basware is a global leader in cloud-based purchase-to-pay and e-invoicing solutions, processing billions of transactions annually for enterprise customers across 100+ countries. With over $300M in ARR and a network connecting hundreds of thousands of buyers and suppliers, Basware sits at the centre of financial automation for some of the world’s largest organisations. We are now in a pivotal phase of our product evolution — deeply embedding AI and machine learning across the platform to deliver smarter, faster, and more autonomous financial workflows. This role sits at the heart of that transformation. As Portfolio Architect you will own the end-to-end architectural vision for Basware’s product portfolio. You will bridge product strategy, engineering delivery, data and AI innovation — ensuring that our platform evolves coherently, scalably, and with AI-first thinking embedded from the ground up. You will report into senior technology leadership and work in close partnership with Product, Engineering, and Data Science to set technical direction, govern architectural standards, and accelerate the adoption of LLMs, agentic systems, and ML pipelines across the portfolio.
Job Details
Requirements
- Proven experience as a Solution, Portfolio or Principal Architect at a $300M+ ARR SaaS company
- Hands-on expertise in AI/ML engineering — specifically in one or more of: LLMs, agentic systems, vector stores, RAG architectures, and ML pipelines
- Practical experience with MLOps tooling and practices (e.g. MLflow, Kubeflow, SageMaker, Vertex AI, or equivalent)
- Demonstrable understanding of AI governance, responsible AI principles, and regulatory considerations (e.g. EU AI Act awareness)
- Strong track record of defining and communicating architectural vision to diverse audiences — engineers, executives, and customers
- Deep cloud-native architecture experience on AWS or Azure
- Excellent written and verbal communication in English; able to produce crisp, persuasive technical narratives
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