AI Solution Architect

Senior Solution Architect - Cloud, Data & AI Location: Warsaw, Poland Work Model: Hybrid - 1 day per week in the office Salary: Up to 312,000 PLN gross per annum + bonus + benefits About the Role We are looking for an experienced Senior Solution Architect to design and lead the architecture of cloud-native data analytics and AI applications. You will work closely with Data Scientists, AI Engineers, developers, DevOps teams and business stakeholders to deliver scalable, secure and high-performance solutions that support business transformation. Key Responsibilities - Define and lead the architecture of cloud-native data and AI applications, including AI-powered tools, forecasting solutions and data platforms. - Translate business needs and technical requirements into robust, scalable and cost-efficient architectures. - Guide development teams throughout the solution lifecycle, ensuring high engineering standards and quality delivery. - Establish architectural patterns, reusable components and development guidelines. - Evaluate technologies and frameworks for application development, AI integration, LLMs and vector-based solutions. - Promote best practices across cloud infrastructure, application engineering, CI/CD and DevOps. - Support prototypes, proof of concepts and technology assessments. - Oversee technical documentation, architectural decisions, project estimations and external technology deliverables. Key Skills & Experience - Bachelor's or Master's degree in Computer Science, Engineering or a related field. - 5+ years of experience in cloud-native application architecture, preferably with Microsoft Azure. - Strong understanding of Microservices, Docker, Containerisation, Serverless, Event-Driven and Service Mesh architectures. - Experience with Azure services, particularly Azure Container Apps, Azure Functions, Azure SQL and Storage Accounts. - Python development knowledge (FastAPI, Flask or Django) and familiarity with JavaScript frameworks (React.js, Next.js). - Strong experience with GitHub, GitHub Actions and CI/CD pipelines. - Exposure to Azure Databricks, MLflow, RAG, Vector Databases, Azure AI Foundry and AI Agents. - Understanding of MLOps and Agile methodologies (Scrum/Kanban). - Excellent communication, analytical and stakeholder management skills.