Azure AI Engineer - Senior Associate

Overview

As an Azure AI Engineer - Senior Associate in the Software and Product Innovation practice, you will design, develop, test, and support software solutions that use Microsoft Azure and AI capabilities to address client needs.

What you'll do

• Design and build Azure-based applications across requirements, architecture, coding, testing, deployment, and release activities
• Apply AI-native development methods, including GitHub Copilot and agentic engineering patterns, to accelerate delivery across the software lifecycle
• Develop APIs, microservices, and application components using modern programming languages and Azure services
• Translate client requirements into technical solutions that support scalable, secure, and maintainable software designs
• Review code, troubleshoot defects, and improve application performance, reliability, and usability
• Collaborate on quality engineering activities such as test planning, acceptance test driven development, and continuous integration and continuous delivery pipelines
• Support application modernization efforts by reworking legacy solutions into cloud-enabled software and platform-based architectures
• Mentor junior team members, share technical knowledge, and contribute to client discussions on technical approach and delivery priorities

What you'll need

• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English

Nice to have

• Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering
• Demonstrating hands-on Azure AI development across application delivery
• Using GitHub Copilot, APIs, and modern programming languages
• Applying CI/CD, testing, and release automation practices
• Interpreting data to shape technical recommendations and tradeoffs
• Navigating client conversations while mentoring junior team members