GenAI Agentic AI Solution Architect

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

Location: Remote

Your mission

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

You bring

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

Nice to have

Experience in enterprise-scale AI or digital transformation programmes

Exposure to platform engineering or reusable AI solution frameworks

Experience supporting PoCs and rapid MVP delivery

Background in distributed, multi-team technology environments