Architecture Jobs in Poland
There are 745 open Architecture jobs in Poland on freehire right now. 106 of them were posted recently. The skills employers ask for most often are cloud, ai and azure.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| PLN | month | PLN 1,450 | PLN 20,000 | PLN 28,500 | 37 |
| PLN | year | PLN 288,500 | PLN 327,000 | PLN 471,250 | 11 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- cloud 52%
- ai 44%
- azure 41%
- api 37%
- aws 29%
- gcp 24%
- agile 24%
- ci-cd 23%
How the work is done
- Remote 277 · 37%
- Hybrid 261 · 35%
- Onsite 15 · 2%
Visa sponsorship offered in 39% of the 80 postings that state a position on it.
Seniority
- Senior 138
- Lead 74
- Principal 37
- Middle 10
- Staff 7
- C-level 6
Who is hiring
- 1000+ employees 100
- 501-1000 employees 85
- 51-200 employees 34
- 11-50 employees 4
- 201-500 employees 4
English level
- C1 70%
- B2 25%
- B1 2%
- C2 1%
- NATIVE 1%
Share of the postings that state a required level (at least 20% of this market do).
AI Architect
Design and integrate GenAI/agentic AI solutions (RAG, MCP, workflows) with developer platforms and automotive middleware, using Python, LLM frameworks, and MLOps tooling.
Veeva Platform Solution Architect
Senior Veeva Vault Solution Architect designs and implements Veeva Vault configurations, integrations, and workflows for regulated healthcare environments.
Solution Architect Veeva Vault- warunek konieczny
Designs enterprise solutions in Veeva Vault for regulated life-sciences environments, collaborating with config, integration, QA and documentation teams.
Enterprise Architect
Design and maintain enterprise architecture, cloud infrastructure, and platform engineering practices for a climate-tech company using Azure, Kubernetes, and DevOps tooling.
System Architect
Design and deliver a new insurance claims system using microservices and agentic AI-assisted development, setting technical standards and ensuring code quality.
AI Architect (iGaming)
Design and build agentic AI systems for iGaming studios, integrating AI into slot-game math engines, backend logic, and client code to accelerate game production and enable a shared AI layer across multiple studios.
Solution Architect .NET z Azure
Senior .NET/Azure architect designs and modernizes a critical business platform, balancing hands-on coding with strategic guidance for CTO/CIO in a B2B consulting role.
Solution Architect Veeva Vault
Designs enterprise solutions in Veeva Vault, collaborating with global teams to configure, integrate, and document life-sciences platforms.
AI Tech Architect
Designs and implements AI-driven IT architectures for enterprise clients, mentors teams, and translates business needs into scalable tech solutions.
Senior AI Tech Architect
Senior AI Tech Architect designs and implements enterprise AI architectures, mentors teams, and translates business needs into scalable technical solutions for clients.
Staff Architect
Designs scalable, AI-ready architectures for PitchBook’s investment platform using Java, Spring, React, and cloud services, guiding engineering teams and aligning tech with business goals.
Solution Architect
Designs scalable software architectures and AI-enabled solutions for client projects, balancing pre-sales, delivery, and AI adoption while collaborating with ML engineers and cross-functional teams.
Engineering Data Architect
Designs and governs data architecture for global engineering platforms, digital twins, and AI-enabled solutions to improve engineering productivity and analytics at a climate-tech company.
Salesforce Architect
Design and lead Salesforce Revenue Cloud solutions with Agentforce automation for pricing, contracts, billing, and renewals, integrating ERP and financial systems.
VP & Full‑Stack Engineer: AI‑First Fintech Architect
Leads design and development of API services in Java for a fintech company, collaborating with cross-functional teams to build scalable microservices.
GCP Data Architect: Real-Time AI Pipelines
Designs scalable GCP-native data pipelines and AI/ML solutions for real-time and batch processing, bridging business needs with technical execution.