Microsoft Azure AI Engineer

Job Overview

While not all qualifications are mandatory, a strong mix of the listed skills and experiences will help you succeed in this role.

A Microsoft Azure AI Engineer is responsible for designing, developing, and deploying intelligent solutions using Azure Machine Learning and Azure Cognitive Services. This role focuses on leveraging prebuilt AI capabilities and custom machine learning workflows to build scalable, secure, and responsible AI applications that meet business needs.

Job Responsibilities

AI Solution Development

• Design and implement AI solutions using Azure Machine Learning, Azure AI Studio, and Azure AI Services.
• Build and deploy Python-based machine learning models using Azure ML pipelines and SDKs.
• Integrate prebuilt AI capabilities (Vision, Language, Speech, Document Intelligence) into enterprise applications.

Collaboration & Business Alignment

• Work closely with data engineers, analysts, and business stakeholders to translate business requirements into AI-driven solutions.
• Participate in solution architecture discussions to ensure alignment with enterprise standards and scalability.

Responsible AI & Governance

• Apply Responsible AI principles, ensuring fairness, transparency, and accountability in AI models.
• Ensure compliance with data privacy, security, and