Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Helsinki, Finland"), this listing's salary midpoint is about 26% higher. The offer still falls within the benchmark range (€2,070–€5,000). The listed pay band (€3,900–€5,000) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2664 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Helsinki, Finland | €2,070/per month | €2,872/per month | €5,000/per month |
| From job ad (Senior) | €3,900/per month | €4,450/per month | €5,000/per month |
Senior Generative AI Engineer role: lead design and development of advanced generative AI projects using Microsoft technologies; design and implement custom GenAI applications (Azure, Copilot Studio, Azure AI Search, Vector Search, Databricks, Azure Machine Learning); orchestrate LLM-based solutions; manage full software development lifecycle from architecture to delivery and maintenance; consult with client teams and present solution options; work in agile multi-disciplinary teams. Requirements include strong experience with Azure cloud and Azure AI services, modern cloud-native app development and architecture, programming skills (Python, TypeScript), DevOps (GitHub Actions / Azure DevOps), production-ready LLM solutions (RAG, vector search), understanding of AI risks and safeguards, mentoring capability, fluency in Finnish and English.
Job Details
Responsibilities
- Lead design and development of modern GenAI projects
- Design and develop customized GenAI applications (Azure, Foundry, Copilot Studio)
- LLM-based delivery and orchestration
- Full lifecycle software development from architecture to deployment and maintenance
- Consult with client teams and present solution options
- Work in agile multi-disciplinary teams
Requirements
- Proven experience with Azure cloud and Azure AI services
- Strong knowledge of cloud-native app development and architecture
- Programming skills (Python, TypeScript)
- DevOps (GitHub Actions / Azure DevOps)
- Experience designing and delivering production-ready LLM solutions (RAG, vector search)
- Understanding of AI risks and safeguards
Skills & Technologies
Benefits & Perks
Recruitment Process
- 1Submit CV and optional cover letter
- 2Interview with Talent Acquisition Partner Elsa Marttila
- 3Capgemini/Sogeti introduction and next steps
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