AI Architect

Quick Facts

• Role: AI Architect

• Collaboration mode: 100% remote

• Availability: start immediately or within a maximum of 2 weeks

Description

You will design and develop the architecture for AI solutions in a Microsoft Azure environment. The role includes defining the technical approach, designing integrations, and ensuring scalability, security, reliability, and cost efficiency. You will also support implementation by preparing technical concepts and prototypes and providing architecture documentation and recommendations.

Responsibilities

• Design AI solution architecture considering business and technical requirements

• Define integration approach for AI components with existing applications, services, and data sources

• Select appropriate architectural patterns and cloud services for specific use cases

• Design and develop interfaces enabling communication between systems

• Evaluate proposed solutions for scalability, performance, security, and costs

• Prepare technical concepts and prototypes to validate approaches

• Support implementation of key components and resolve complex technical issues

• Define standards for AI design, integration, and deployment

• Review existing architecture and identify optimization opportunities

• Collaborate with developers, Data Science, and Cloud Engineering teams on AI initiatives

• Prepare architectural documentation and recommendations for solution evolution

Requirements

• Experience designing AI architecture or systems using Machine Learning

• Very strong Python knowledge and practical backend development experience

• Very strong knowledge of Microsoft Azure and experience designing cloud solutions

• Knowledge of RAG architecture and practical use cases

• Ability to design scalable, secure, and reliable system architectures

• Experience integrating various applications, services, and data sources

• Knowledge of architectural patterns used in distributed systems

• Ability to translate business requirements into architectural concepts and technical solutions

• Experience making technology decisions and assessing architectural trade-offs

• Good understanding of deployment and maintenance processes in production

• Ability to create technical documentation and communicate architectural decisions

• Very good English to communicate freely in an international project environment

Benefits

• Work on a project focused on designing and developing modern AI solution architecture

• Influence technology selection, architectural patterns, and system development direction

• Combine architecture work with hands-on development of key solution components

• Tackle complex topics across AI integration, backend services, and cloud infrastructure

• Co-create technical standards used in future AI initiatives