AI Solutions Analyst

We are looking for a product analyst to turn business tasks into implementable AI solutions and MVPs, defining concepts, requirements, and collaborating with developers.

In this role, you will find points of AI application, develop solution concepts, define MVP scope, and create quality tasks for AI developers. Responsibilities: - Dive into business tasks and identify AI opportunities - Form and describe AI solution concepts: what, for whom, what problem, and expected results - Define MVP boundaries and prioritize functionality - Describe user scenarios and business logic for AI solutions - Form detailed requirements for AI developers - Identify needed data, sources, integrations, and constraints - Work with developers on technical feasibility - Contribute to MVP readiness and acceptance criteria - Test solutions from business and UX perspectives - Analyze MVP results and propose further development - Monitor new AI tools and approaches

Experience as a product/business/system analyst, Product Owner, or similar role. Ability to translate unstructured business tasks into clear development requirements. Experience with MVP formation and product decomposition. Understanding of modern AI/ML solutions, LLMs, RAG, AI agents, prompt engineering, and working with LLM APIs at a level sufficient for task setting. Skills in user stories, use cases, and functional requirements. Data literacy and understanding data quality/availability constraints. Strong communication skills. Ability to quickly learn new technologies. Tech stack: N8N, API, Git, RAG, SQL (Teradata, MS SQL, Postgres, Oracle), BI tools (Tableau, Power BI, Qlik, DataLens), Python.

You will be at the intersection of product, business, and modern AI technologies, directly influencing AI solutions in the company. Opportunity to not just analyze requirements but design and quickly package AI solutions into working MVPs.