GenAI Agentic AI Solution Architect

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
  
  

• 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