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 - b2bOnly 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 skillsWe offer:

Remote working model Dynamic and innovation-driven engineering environment

Full-time job agreement based on b2bPrivate medical care with dental care (covering 70% of costs)

Multisport card (also for an accompanying person)

Life insurance