Remote GenAI Agentic AI Solution Architect

1w1 week ago

Madiff

Remote · Full-time · $180,000 – $250,000

About this role

This is a remote position for a GenAI Agentic AI Solution Architect joining a large-scale international digital programme. The role focuses on designing and scaling GenAI and LLM-driven solutions across multiple teams and business domains. It offers high impact by influencing architectural direction and delivery speed across the organisation.

The programme embeds enterprise-grade GenAI capabilities into existing platforms and processes. Emphasis is on scalability, reuse, and rapid delivery while maintaining architectural discipline. You will design end-to-end architectures for GenAI and LLM-based solutions across use cases.

Translate business and technical requirements into scalable solution designs daily. Collaborate closely with engineering and platform teams to guide implementation and reduce risks. Create reusable patterns including agents, pipelines, and orchestration layers.

Support feasibility assessments, POCs, and MVP planning across initiatives. Contribute to architectural governance and evolving platform standards. Participate in discussions to guide teams on GenAI best practices in a dynamic environment.

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

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