Principal AI Developer

OPENTEXT - THE INFORMATION COMPANY

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

AI-First. Future-Driven. Human-Centered.

At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.

As OpenText accelerates its AI transformation, Ireland has become a key strategic R&D hub for advanced AI engineering, applied AI platforms, sovereign cloud, cybersecurity, and trusted enterprise innovation. As part of this investment, we’re seeking a Principal AI Developer - a senior technical leader who will design and deliver scalable, production-grade AI systems with full ownership of quality, performance, and real-world impact.

This role sits at the heart of both OpenText’s global AI strategy and the expansion of our Ireland R&D capability. You will play a foundational role in building the next generation of sovereign AI for Europe, helping establish our EMEA Centre of Excellence for Agentic AI and Sovereign Cloud. Working at the forefront of multi-agent AI orchestration in regulated environments, you’ll shape how enterprise AI is built and operated at scale.

You’ll work across the full AI stack - spanning platform, orchestration, and application layer, rather than operating within a silo, giving you direct influence on enterprise-scale outcomes. Crucially, this is not just about applying AI - it’s about creating it. You will contribute to foundational intellectual property in agentic AI, data sovereignty, and cybersecurity, helping define the technology and engineering standards that will power OpenText’s future, rather than simply implementing existing tools.

• Designing and building AI services, orchestration layers, and APIs.

• Leading technical design and architecture decisions.​

• Ensuring systems are scalable, observable, and cost-efficient​.

• Owning production readiness: monitoring, logging, incident response​.