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September 5, 2026

GenAI Assessment Lead/ Solution Architect

Senior • Remote

364,000 - 405,600 PLN/yr

Warsaw, MZ, Poland

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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