Application AI Architect (REMOTE)

This is a remote position.

Date: 24 September 2026

• Finding the best tech solution among all possible to solve the existing business problems
  
• Describing the structure, characteristics, behavior, and other aspects of software to project stakeholders, software development, quality assurance and delivery teams
  
• Defining features, phases, and solution requirements
  
• Providing specifications according to which the solution is defined, managed, and delivered
  
• Work with development and test teams on enterprise scale projects
  
• Assist and guide, consult to implement and keep processes and standards
  
• Build reference architecture company-wide code libraries, to assist and optimize development processes of new projects
  
• Collaborate with software, infrastructure and business architects in Sofia and in other locations
  

• Advantage: C# & .NET Ecosystem - Advanced
  
• Including latest .Net (6/7/8+), Web API, and Minimal API
  
• Entity Framework (6/7/8) - Advanced
  
• React - Intermediate
  
• Data & Databases
  
• SQL (e.g., SQL Server) - Advanced
  
• NoSQL (e.g., Azure Cosmos DB, MongoDB) - Advanced
  
• Experience with vector databases/stores (e.g., Azure AI Search, Pinecone) for RAG patterns is highly desirable.
  
• Data Engineering principles (ETL/ELT) - Intermediate
  
• Understanding how to build data pipelines to feed AI models.
  

• Clean Architecture, SOLID, CQRS pattern - Advanced
  
• Microservices and Event-Driven Architecture - Advanced
  
• Critical for building scalable and decoupled AI systems.
  
• AI/ML Solution Architecture - Advanced
  
• Expertise in designing architectures for AI-native applications, including patterns like Retrieval-Augmented Generation (RAG).
  

• Azure AI Services - Advanced
  
• Azure OpenAI Service: Expertise in implementing solutions using LLMs (e.g., GPT-4), including prompt engineering, and fine-tuning.
  
• Azure Machine Learning: Experience with the ML lifecycle, including model training, deployment, and management (MLOps).
  
• Azure Cognitive Services: (Speech, Vision, Language) for integrating pre-built AI capabilities.
  
• MLOps (Machine Learning Operations) - Advanced
  
• Experience in creating and managing CI/CD pipelines for machine learning models (e.g., using Azure DevOps or GitHub Actions).
  
• Knowledge of model versioning, monitoring, and governance.
  
• Python for AI - Intermediate
  
• Familiarity with key AI/ML libraries (e.g., scikit-learn, Pandas, TensorFlow/PyTorch) is a significant plus.
  

• Core Azure Services - Advanced
  
• Azure Functions, Azure Key Vault, Managed Identity, Application Insights.
  
• Azure Integration Services - Intermediate
  
• Logic Apps, Service Bus, Event Grid for orchestrating complex AI workflows.
  
• Azure DevOps - Advanced
  
• Expertise in CI/CD for both application code and ML models.
  
• 
  

• Azure Fundamentals AZ-900
  
• Azure AI Fundamentals AI-900
  
• GitHub Foundations
  
• GitHub Actions
  

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