GenAI Agentic AI Solution Architect

O projekcie: We’re hiring: GenAI Agentic AI Solution Architect – Design Scalable AI Systems We’re looking for a GenAI Solution Architect to join a large-scale international digital programme focused on designing and scaling LLM-driven solutions across multiple teams and business domains This is a high-impact role influencing both architectural direction and delivery speed, with a strong focus on scalability, reuse, and enterprise-grade GenAI capabilities Wymagania: - 4–10 years of experience designing AI-powered or LLM-based systems- Strong hands-on knowledge of GenAI architectures including RAG and vector databases- Experience designing agentic workflows and orchestration patterns- Strong Python background and familiarity with modern AI stacks- Experience with LangChain and/or LangGraph- Ability to design modular, scalable architectures rather than monolithic systems- Experience integrating data pipelines, APIs, AI services, and user interfaces- Strong communication skills and ability to collaborate across multiple technical teams Codzienne zadania: - Design end-to-end architectures for GenAI and LLM-based solutions across multiple use cases - Translate business and technical requirements into scalable solution designs - Collaborate with engineering and platform teams to guide implementation and reduce delivery risks - Create reusable architectural patterns including agents, pipelines, and orchestration layers - Support feasibility assessments, PoCs, and MVP planning across initiatives - Contribute to architectural governance and evolving platform standards - Guide teams on best practices for building GenAI systems