Application AI Architect

Category: Research & Development

Location:

Date: 24 September 2026

RecruityTalent is a Recruitment agency, supportingstartups and enterprises in Bulgaria, EMEA and LATAM by connecting them withtop talent. RecruityTalent is your trusted hiring partner.
For one of our clients - we are looking for an ApplicationAI Architect
Work model: Remote, Bulgaria
Contract: Standard or B2B
Responsibilities:

• Finding the best tech solution among all possible to solvethe existing business problems
  
• Describing the structure, characteristics, behavior, andother 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 isdefined, managed, and delivered
  
• Work with development and test teams on enterprise scaleprojects
  
• Assist and guide, consult to implement and keep processesand standards
  
• Build reference architecture company-wide code libraries, toassist and optimize development processes of new projects
  
• Collaborate with software, infrastructure and businessarchitects in Sofia and in other locations
  

What you bring in:
Core Application Development Experience:

• 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 AISearch, Pinecone) for RAG patterns is highly desirable.
  
• Data Engineering principles (ETL/ELT) - Intermediate
  
• Understanding how to build data pipelines to feed AI models.
  

Architecture & Design

• 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-nativeapplications, including patterns like Retrieval-Augmented Generation (RAG).
  

AI & Machine Learning (ML)

• Azure AI Services - Advanced
  
• Azure OpenAI Service: Expertise in implementing solutionsusing 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) forintegrating pre-built AI capabilities.
  
• MLOps (Machine Learning Operations) - Advanced
  
• Experience in creating and managing CI/CD pipelines formachine 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.
  

Cloud (Azure)

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

Nice to have certifications:

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

If this sounds like you - Apply now!
You can trust that as a GDPR-compliant agency, we uphold thehighest standards of data confidentiality, ensuring all candidate informationis securely stored and managed in full accordance with local GDPR regulations.Protecting privacy remains our top priority throughout the recruitment process.
RecruityTalent holds Recruitment License No. No. 3836,guaranteeing full compliance with industry standards and legal requirements.




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Originally posted on Himalayas