Workplace: 100% Remote
Workload: Full-time
Contract type: Contract of Mandate / B2B
Job description
The Custom App AI Architect – Azure will be responsible for the architectural design, technical governance, and solution blueprinting of advanced AI applications and platforms. This includes defining end-to-end architectures for multi-agent orchestration, Semantic Kernel–based integrations, and scalable backend modernization. The role requires deep expertise in Azure-native architecture, applied AI systems design, and secure, enterprise-grade solution delivery.
Key Responsibilities
AI Architecture & Orchestration Design
- Define reference architectures and design patterns for multi-agent orchestration using Microsoft Semantic Kernel (declarative and imperative models).
- Architect system components such as ToolRegistry, AgentManager, ContextManager, and streaming chat sessions.
- Design integration patterns and API governance models (REST/OpenAPI) for internal and external interoperability.
Platform Architecture & Extensibility
- Lead the design and modularization of backend services into declarative, reusable execution units.
- Define architecture for Knowledge Store integrations with Azure AI Search, embeddings, and pipelines.
- Oversee deployment architectures for agents, orchestrators, and APIs within Azure Container Apps / AKS and CI/CD environments.
- Observability, Security & Infrastructure
Establish architectural standards for telemetry, distributed tracing, and monitoring with Azure Monitor, App Insights, and Log Analytics.
- Design secure and scalable infrastructure foundations (ACA/AKS/ACR, Key Vault, App Configuration, Certificates).
- Define identity and access management models using Microsoft Entra ID, OAuth2, and Azure Key Vault.
Candidate Profile — Required Skills
- 7+ years of experience in solution or application architecture, including object-oriented design (C#, Java, Python) and API-based systems.
- Proven experience designing AI/ML and LLM-based architectures, including orchestration frameworks and enterprise AI adoption.
- Strong knowledge of the Azure ecosystem: ACA, AKS, Functions, API Management, Key Vault, App Config.
- Hands-on understanding of Microsoft Semantic Kernel concepts: AI agent design, orchestration flows, and tool adapters.
- Proficiency with CI/CD pipelines, containerization, and infrastructure-as-code (Terraform/Bicep).
- Experience architecting data and ML pipelines (ADF, Databricks).
- Awareness of frontend integration patterns (microfrontends, React/TypeScript, shared UI libraries, state management).
- Familiarity with adaptive UI and chat orchestration patterns for AI-driven applications.
What do we offer?
- Benefits package (private medical care, sports card, group insurance).
- Free English lessons with a dedicated teacher.
- Access to an extensive training library covering both soft and technical skills.
- Sports activities outside of work.
- Team-building events, competitions, and challenges.
Who we are – in a few words:
Industry: We operate in the IT sector.
Clients: We support international companies from regulated industries (banking, finance, insurance, pharmaceuticals).
Services: We provide comprehensive quality assurance and implement modern HR platforms for employee management.