AI Architect

Senior Solution Architect – Cloud, Data & AI

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.
• Fluent English.