Cloud Architect / Data and AI Architect

• Are you passionate about designing modern data, analytics, and AI platforms on Microsoft technologies while helping organizations turn data into business value?
• Do you enjoy shaping data and AI strategies, leading complex solution designs, and acting as a trusted advisor on analytics, machine learning, and generative AI initiatives?
• Would you like to be part of a growing global IT company that invests in its employees?

Practical Information

Location: Belgrade, Serbia | Reports to: Cloud Services Director | Work arrangement: Hybrid | Contract type: Full-time | Visa status: Valid working visa for Serbia | Language requirements: Fluent/professional English, and Serbian, written and verbal

As our Cloud Architect / Data & AI Architect, you will shape and lead modern data, analytics, and AI architectures across the Microsoft ecosystem, enabling organizations to unlock the full value of their data. You will design scalable cloud data platforms, AI and machine learning solutions, and governance frameworks while guiding customers through complex transformation initiatives. In parallel, you will act as a trusted advisor, translating business requirements into innovative technical solutions that drive measurable outcomes.

Key Responsibilities

• Design end-to-end data and analytics architectures on the Microsoft platform, leveraging Microsoft Fabric, Azure Synapse Analytics, Azure Databricks, Azure Data Lake, Azure SQL, and Power BI.
• Build scalable and reliable data pipelines and ETL/ELT solutions using Azure Data Factory, Synapse Pipelines, and Fabric Data Factory.
• Lead the design and implementation of AI and machine learning solutions using Azure Machine Learning, Azure AI Services, Azure OpenAI Service, generative AI, and Microsoft Copilot capabilities.
• Implement data governance, cataloging, classification, and protection practices using Microsoft Purview to support security, compliance, and regulatory requirements.
• Define reference architectures, best practices, and standards for data and AI solutions while collaborating closely with security teams.
• Guide customers on data and AI strategy, translate business requirements into technical architectures, and support solution assessments, advisory engagements, and new initiatives.