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.

-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

-Bachelor's degree in Computer Science, Engineering, or related field

-5+ years of software engineering experience with AI/ML focus

-Strong experience with Python and C#/.NET development

-Hands-on experience with Azure ML, containerization (Docker, Kubernetes), and CI/CD

Understanding of machine learning model deployment and MLOps practices

Nice to Have

-Experience with Azure OpenAI and Cognitive Services

-Knowledge of infrastructure-as-code (Terraform, ARM templates)

-Experience with microservices architecture

Company Overview

Quest Software builds the foundation for enterprise AI with solutions in data governance, cybersecurity, and platform modernization. More than 45,000 companies — including 90% of the Fortune 500 — trust Quest to solve their most critical IT challenges. From securing identities and modernizing platforms to preparing data for AI, we help enterprises unlock their full potential.

Why Quest

At Quest, your work makes an impact. You’ll help organizations get AI-ready while building your career with a global team of innovators. We offer:

• Competitive pay, annual bonuses, and top-performer recognition.
• Comprehensive health, family, and retirement benefits.
• Flexible work options, generous PTO, and wellness programs.
• Professional growth through learning platforms, mentorship, and leadership programs.
• Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council.

Come join us. For more information, visit us on the web at Quest Careers | Innovate. Collaborate. Grow.

Job seekers should be aware of fraudulent job offers from online scammers and only apply to roles listed on quest.com/careers using our applicant system. Note: We do not use text messaging or third-party messaging apps like Telegram to communicate with applicants, so please exercise caution if you are approached in this way and only interact with people claiming to be Quest employees if they have an email address ending in @quest.com.