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September 5, 2026
GenAI Assessment Lead/ Solution Architect
Senior • Remote
364,000 - 405,600 PLN/yr
Warsaw, MZ, Poland
Apply now
Project Information
- Type of project: IT Services
- Work model: 100% remote
- Budget: 175–195 PLN net/hour (B2B)
- Start date: ASAP
- Only candidates with citizenship in the European Union and residence in Poland
Project Scope
- Assess an existing Talk-to-Data Multi-Agent GenAI project (POC) and evaluate its readiness for enterprise-scale deployment.
- Review current business requirements, use cases, architecture, and technical implementation.
- Evaluate GenAI components, including LLMs, RAG, agent orchestration, conversational analytics, and Text-to-SQL capabilities.
- Assess alignment with enterprise platforms such as Databricks, Genie, Agent Bricks, Mosaic AI, and Unity Catalog.
- Identify architecture gaps, technical debt, scalability challenges, and operational risks.
- Review data governance, security, compliance, access controls, lineage, and auditability requirements.
- Conduct a cost-benefit analysis and compare custom-built capabilities with platform-native solutions.
- Define the target-state architecture and recommend the optimal industrialization approach: enhance, re-platform, or rebuild.
- Engage business and technology stakeholders to gather requirements and present assessment findings.
- Deliver an assessment report, gap analysis, architecture recommendations, and a phased implementation roadmap.
Competence Demands
- 8+ years of experience in Data & Analytics, Data Engineering, Solution Architecture, or Enterprise Architecture.
- Proven experience designing, implementing, or assessing Generative AI solutions in enterprise environments.
- Hands-on experience with Multi-Agent AI frameworks, LLM-based applications, Retrieval-Augmented Generation (RAG), Conversational AI solutions, and Text-to-SQL and semantic-layer architectures.
- Strong experience with the Databricks ecosystem and enterprise data platforms.
- Enterprise architecture and solution assessment methodologies.
- Experience with AI governance frameworks and Responsible AI programs.
- Very good English skills.
We Offer
- Remote working model.
- Dynamic, innovation-driven engineering environment.
- Private medical care with dental care, covering 70% of costs.
- Multisport card, also for an accompanying person.
- Life insurance.
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