Review and refine AI-generated responses and architecture-related outputs
Evaluate outputs for technical accuracy, systems design best practices, feasibility, and scalability
Draft realistic systems architecture scenarios, including cloud infrastructure, distributed computing, and system integration use cases
Assess AI reasoning in topics such as scalability, reliability, fault tolerance, and system optimization
Identify gaps or misinterpretations in methodology or design approach
Create scenario variations from the perspective of different stakeholders, such as architect, engineering lead, or business executive

A systems architect or senior engineering professional experienced in complex systems design
Based in the EU or UK
With several years of experience in systems architecture, cloud platforms, or enterprise infrastructure
Experienced with modern architecture principles, frameworks, and best practices
Comfortable identifying design flaws, unrealistic assumptions, or scalability issues
Available 8 to 20 hours per week
Able to start in the coming weeks

Systems Architect – AI Trainer

Key skills