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

Required:

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 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. 

Why work with us! 

Life at Quest means collaborating with dedicated professionals with a passion for technology. 
When we see something that could be improved, we get to work inventing the solution. 
Our people demonstrate our winning culture through positive and meaningful relationship. 
We invest in our people and offer a series of programs that enables them to pursue a career that fulfills their potential. 
Our team members’ health and wellness is our priority as well as rewarding them for their hard work.

Quest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  

Come join us. For more information, visit us on the web at Quest Careers | Where next meets now. Join Quest.

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 or @oneidentity.com

Mid Level AI Engineer

Job Description