We are looking for a System Architect with strong expertise in Microsoft Azure to design and guide the implementation of secure, scalable, and reliable cloud solutions. In this role, you will define system architecture, make key technical decisions, and support engineering teams throughout the delivery lifecycle. The ideal candidate has solid experience in cloud architecture, distributed systems, integrations, and modern engineering practices. Experience with AI-powered solutions on Azure is also important, especially in designing practical, business-oriented solutions using modern AI and GenAI capabilities. Responsibilities Design end-to-end architecture for cloud solutions on Microsoft Azure Define secure, scalable, and maintainable system designs based on business and technical requirements Select appropriate Azure services, integration approaches, and deployment models Ensure architecture meets non-functional requirements such as performance, reliability, security, and cost efficiency Support engineering teams during implementation and help resolve complex technical issues Contribute to cloud modernization, migration, and system integration initiatives Guide infrastructure and deployment approaches using Infrastructure as Code and CI/CD practices Contribute to the design of AI-enabled solutions on Azure, including intelligent automation, document processing, and LLM-based applications where relevant Promote architecture best practices and provide technical leadership across teams Requirements 8–10+ years of experience in System Architecture / Solution Architecture Expertise in Microsoft Azure, including compute, storage, networking, security, and integration services Proven experience designing scalable, secure, and reliable cloud-based systems Understanding of distributed systems, APIs, integration patterns, and enterprise architecture principles Hands-on experience with Infrastructure as Code and cloud automation tools such as Terraform, Bicep, or ARM templates Experience with CI/CD and modern DevOps practices Practical experience with AI and GenAI solutions on Azure, including Azure OpenAI, Azure AI Services, and Azure Machine Learning Familiarity with intelligent document processing, cognitive services, and LLM-based application architecture Knowledge of RAG patterns, vector databases/search, and AI orchestration approaches Strong communication skills and ability to work effectively with both engineering teams and stakeholders English level: B2+ Nice to have Microsoft certifications such as AZ-305, AZ-104, AI-102, and DP-100 Experience with data platforms, analytics, and MLOps Experience in consulting, outsourcing, or enterprise digital transformation projects Participation in technical communities, public speaking, hackathons, or innovation programs
