Sr. Principal AI Architect

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 are hiring talent AI can't replace to help us shape the future of information management. Join us.

Job Title: Senior Principal AI Architect

Job Location: Richmond Hill/ Waterloo, ON (Office based)

OpenText's AI Development and Enablement organization designs and delivers AI solutions that power customer-facing products, agents, and intelligent workflows. We work across the product portfolio, bringing new ideas into applications and building the shared AI technology that helps teams innovate faster.

As a Senior Principal AI Architect, you will shape how OpenText builds and operates AI solutions across its product portfolio. Working with architects and engineering leaders across business units, you will tackle complex application challenges and turn emerging AI approaches into capabilities customers can use.

You will define solution architectures and the AI lifecycle and platform primitives needed to develop and operate them at scale. The role combines broad technical influence with hands-on experimentation: building proofs of concept, resolving difficult design choices, and guiding adoption across teams. Your work will help determine which approaches become shared capabilities and how OpenText's AI architecture evolves as models, frameworks, and customer needs change.

You Are Great At

• Leading architecture for complex enterprise AI solutions, including multi-agent systems spanning applications, services, and deployment environments.

• Establishing approaches to grounded context, agent harnesses, and multi-agent orchestration and choreography. Choosing appropriately among deterministic workflows, individual agents, and multi-agent systems, with reliable delegation, state management, failure recovery, and human oversight.

• Personally building proofs of concept and reference implementations to investigate difficult problems and establish technical direction.

• Architecting lifecycle capabilities and shared platform primitives for