GenAI Assessment Lead/ Solution Architect

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced GenAI Assessment Lead to evaluate and provide strategic recommendations for an existing Talk-to-Data Multi-Agent Generative AI Proof of Concept (POC). The role will focus on assessing the solution's technical architecture, business alignment, scalability, governance, and operational readiness for enterprise-scale deployment.

Project information:

• Type of project: IT Services
• Office location: Wrocław
• Work model: 100% remote mode
• Budget: 175 - 195 PLN net/ h - b2b
• Only candidates with citizenship in the European Union and residence in Poland
• Start date: ASAP

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 cost-benefit analysis and compare custom-built capabilities against platform-native solutions
• Define target-state architecture and recommend the optimal industrialization approach (enhance, re-platform, or rebuild)
• Engage with business and technology stakeholders to gather requirements and present assessment findings
• Deliver 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, 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 and innovation-driven engineering environment
• Full-time job agreement based on b2b
• Private medical care with dental care (covering 70% of costs)
• Multisport card (also for an accompanying person)
• Life insurance