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
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Design end-to-end architectures for GenAI and LLM-based solutions across multiple use cases
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Translate business and technical requirements into clear and scalable solution designs
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Collaborate closely with engineering and platform teams to guide implementation and reduce delivery risks
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Create reusable architectural patterns including agents, pipelines, and orchestration layers
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Support feasibility assessments, POCs, and MVP planning across multiple initiatives
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Contribute to architectural governance and evolving platform standards
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Participate in architecture discussions and guide teams on best practices for GenAI systems
Requirements
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4 to 10 years of experience designing AI-powered or LLM-based systems
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Strong hands-on knowledge of GenAI architectures including RAG and vector databases
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Experience designing agentic workflows and orchestration patterns
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Strong Python background and familiarity with modern AI stacks
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Mandatory experience with LangChain and/or LangGraph
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Ability to design modular, scalable architectures rather than monolithic systems
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Experience integrating multi-component solutions including data pipelines, APIs, AI services, and user interfaces
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Strong communication skills and ability to collaborate across multiple technical teams
Nice to have
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Experience working in enterprise-scale AI or digital transformation programmes
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Exposure to platform engineering or reusable AI solution frameworks
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Experience supporting POCs and rapid MVP delivery in fast-paced environments
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Background working in distributed, multi-team technology organisations
Benefits
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Solid, competitive salary
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Work in a multinational environment on international projects
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Comprehensive healthcare
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Long-term B2B contract with a stable project pipeline
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Remote work model
