Software Engineering Director at Quest Software
Cork, County Cork, Ireland -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

0.0

Posted On

20 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Azure, Aws, Strategic Thinking, Leadership, Stakeholder Management

Industry

Computer Software/Engineering

Description

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 an AI Engineering Director you will lead a team of Software Engineers and Data Scientists to design, develop, and deploy cutting-edge AI solutions across industries. Drive innovation, ensure high-quality development practices, and align AI initiatives with business goals.

Responsibilities:

  • Lead and mentor a team of developers focused on AI solutions.
  • Oversee project planning, execution, and delivery.
  • Collaborate with cross-functional teams to identify AI integration opportunities.
  • Maintain strong knowledge of AI technologies and trends.
  • Ensure adherence to agile methodologies and software development best practices.
  • Manage budgets, timelines, and risk mitigation.
  • Collaborate with product managers and executives to shape technical vision.
  • Represent the organization at industry events and conferences.
  • Promote a culture of continuous learning and innovation.
  • Ensure compliance with ethical AI practices and data governance.

Qualifications:

  • Advanced degree in Computer Science, Engineering, or related field.
  • 10+ years of software development experience, with 3+ years in a leadership role.
  • Proven experience with AI/ML technologies and real-world implementations. Deep expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, LLMs).
  • Strong communication, leadership, and team-building skills.
  • Experience in agile environments and managing multiple concurrent projects.
  • Strong architectural and strategic thinking.
  • Experience with cloud infrastructure and AI model deployment.
  • Excellent stakeholder management and cross-functional collaboration skills.
  • Experience with cloud platforms (Azure is preferred, AWS, GCP)

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.

Responsibilities
  • Lead and mentor a team of developers focused on AI solutions.
  • Oversee project planning, execution, and delivery.
  • Collaborate with cross-functional teams to identify AI integration opportunities.
  • Maintain strong knowledge of AI technologies and trends.
  • Ensure adherence to agile methodologies and software development best practices.
  • Manage budgets, timelines, and risk mitigation.
  • Collaborate with product managers and executives to shape technical vision.
  • Represent the organization at industry events and conferences.
  • Promote a culture of continuous learning and innovation.
  • Ensure compliance with ethical AI practices and data governance
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