freehire launches on Product Hunt on 26 August.

Follow →

GenAI Assessment Lead/ Solution Architect

Summary

Lead assessment of a multi-agent GenAI POC, reviewing architecture, scalability, and governance to recommend enterprise-scale deployment strategies.

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

See also

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available