Overview:
Quest’s Software Center for Advanced AI Architecture in Cork, Ireland is seeking experienced engineers ready to take ownership of critical AI infrastructure and deployment systems. As the central hub for AI innovation across Quest’s entire SaaS platform ecosystem, it will shape the future of enterprise AI solutions that serve millions of users worldwide.
Ready to drive your own AI engineering projects while making a direct impact on production systems? As part of our Software Center for Advanced AI Architecture, you’ll independently design and implement scalable AI solutions using cutting-edge deployment technologies and cloud-native architecture. You’ll have the opportunity to own complete system components, collaborate closely with data scientists to productionize models, and mentor junior engineers while continuing to expand your technical expertise. If you’re looking to move beyond implementing others’ designs to architecting your own AI solutions, this is where you make that transition.
As a Mid-Level AI Engineer, you will design and implement AI-powered solutions on Microsoft Azure. You’ll take ownership of specific AI system components, work independently on deployment strategies, and collaborate closely with both data scientists and senior engineers to deliver scalable, production-ready AI systems.

Responsibilities:

• Design and implement AI/ML model deployment pipelines on Azure (Azure ML, AKS, Azure Functions)
• Build scalable REST APIs and microservices for AI model serving using C#/.NET and Python
• Implement monitoring and automated retraining systems for production AI models
• Integrate AI solutions with Microsoft enterprise technologies (Entra ID, Microsoft 365)
• Optimize model inference performance and deployment costs
• Mentor junior team members and contribute to AI best practices

Qualifications:

COMPANY DESCRIPTION

At Quest, we create and manage the software that makes the benefits of new technology real. Companies turn to us to manage, modernize and secure their business, from on-prem to in-cloud, from the heart of the network to the vulnerable endpoints. From complex challenges like Active Directory management and Office 365 migration, to database and systems management, to redefining security, and hundreds of needs in between, we help you conquer your next challenge now.
We’re not the company that makes big promises. We’re the company that fulfills them.
We’re Quest: Where Next Meets Now.

• Design and implement AI/ML model deployment pipelines on Azure (Azure ML, AKS, Azure Functions)
• Build scalable REST APIs and microservices for AI model serving using C#/.NET and Python
• Implement monitoring and automated retraining systems for production AI models
• Integrate AI solutions with Microsoft enterprise technologies (Entra ID, Microsoft 365)
• Optimize model inference performance and deployment costs
• Mentor junior team members and contribute to AI best practice