GenAI Agentic AI Solution Architect

Posted 2026-05-06
Remote, USA Full-time Immediate Start




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





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