Cyclad
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
