GenAI Agentic AI Solution Architect

Job Description This is a remote position. We are looking for a GenAI Agentic AI Solution Architect to join a large-scale international digital programme focused on designing and scaling GenAI and LLM-driven solutions across multiple teams and business domains. This is a high-impact role influencing both architectural direction and delivery speed across the organisation. The programme focuses on embedding enterprise-grade GenAI capabilities into existing platforms and processes, with strong emphasis on scalability, reuse, and rapid delivery while maintaining architectural discipline. Responsibilities Design end-to-end architectures for GenAI and LLM-based solutions across multiple use cases Translate business and technical requirements into clear and scalable solution designs Collaborate closely 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 multiple initiatives Contribute to architectural governance and evolving platform standards Participate in architecture discussions and guide teams on best practices for GenAI systems Requirements 4 to 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 Mandatory experience with LangChain and/or LangGraph Ability to design modular, scalable architectures rather than monolithic systems Experience integrating multi-component solutions including data pipelines, APIs, AI services, and user interfaces Strong communication skills and ability to collaborate across multiple technical teams Nice to have Experience working in enterprise-scale AI or digital transformation programmes Exposure to platform engineering or reusable AI solution frameworks Experience supporting POCs and rapid MVP delivery in fast-paced environments Background working in distributed, multi-team technology organisations Benefits Solid, competitive salary Work in a multinational environment on international projects Comprehensive healthcare Long-term B2B contract with a stable project pipeline Remote work model