Lead discovery sessions with clients to define business goals and translate them into clear requirements.
Contribute to AI-driven prototyping and solution shaping (LLM, RAG, multi-agent systems).
Collaborate with stakeholders, PMs, and dev teams to turn raw ideas into a structured scope.
Design high-level architecture diagrams (C4 model) and plan AI integrations with enterprise systems (ERP, CRM, DWH).
Write, refine, and prioritize user stories and acceptance criteria in the backlog.

5+ years of experience in designing and implementing Artificial Intelligence and Machine Learning solutions.
Deep understanding of AI/ML system architecture, including MLOps, data pipelines, model deployment, and monitoring.
Experience designing solutions on Microsoft Azure platforms (Azure Machine Learning, Cognitive Services, Azure Bot, Foundry, Web App, Azure Bing OpenAI, Copilot Studio) or AWS SageMaker / GCP Vertex AI.
Knowledge of principles for building RAG systems, LLM-based solutions, and multi-agent systems.
Experience integrating AI solutions with enterprise systems (ERP, CRM, DWH, Data Lake, API, Power BI, etc.).
Skills working with containerization and orchestration (Docker, Kubernetes).
Advanced knowledge of Python, experience with PyTorch, TensorFlow, LangChain, HuggingFace, OpenAI SDK.
Experience preparing Solution Design, Architecture Diagrams (C4 model), and technical documentation.
Understanding of Data Governance principles, data security, and AI ethics (including EU AI Act requirements).
Ability to interact with business stakeholders and technical teams.
Knowledge of the Ukrainian language.

AI Business Analyst – Freelance

Key skills