Sr. Principal Software Architect (AI)

Open Text Corporation•Ottawa, ON

52d

About The Position

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. The AI Engineering and Enablement organization defines and evolves OpenText’s AI architecture and technical foundations, enabling teams to build secure, scalable, and production-grade AI solutions across the enterprise. We operate at the intersection of platform engineering, applied AI, and product innovation, translating emerging AI capabilities into real-world enterprise solutions. This organization partners closely with engineering, product, and architecture teams to establish modern AI patterns, reference architectures, and best practices that accelerate adoption while maintaining reliability, security, and governance. As Sr. Principal Software Architect (AI), you will be a hands-on technical leader and architectural partner responsible for shaping how AI solutions are designed, built, evaluated, and evolved at OpenText. You will work closely with architects and development teams to design, review, and improve modern RAG and agentic solutions, both new and existing. This role is intentionally very hands-on. You are expected to prototype, build proof-of-concepts, create starter projects, and validate architectural approaches in code. You will help teams adopt best practices across the full AI lifecycle, including prompt design, evaluation, observability, and continuous improvement. This role requires deep technical credibility, strong enterprise experience, and the ability to guide teams through practical, real-world AI architecture challenges.

Requirements

12+ years of software engineering experience, with significant time in principal or architect-level roles.
Proven, hands-on experience building and evolving enterprise AI solutions.
Deep understanding of the end-to-end AI lifecycle, from experimentation to production and optimization.
Strong ability to evaluate, adjust, and improve AI systems based on quality, performance, and reliability.
Experience guiding multiple teams through architectural decisions without direct authority.
A practical, builder mindset with the ability to move from theory to working code quickly.
Curiosity, strong learning instincts, and a passion for continuous improvement.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Nice To Haves

Strong experience in the following areas is highly preferred:
Primary Languages: Python (primary), JavaScript / TypeScript, Java
AI & Agentic Frameworks: LangGraph (highly preferred), Google ADK (highly preferred)
LLM-based agent frameworks and orchestration patterns
AI Techniques & Practices: Retrieval-Augmented Generation (RAG), Prompt engineering and prompt management, Evaluation frameworks and quality measurement, Observability, tracing, and debugging of AI systems
Cloud & Platforms: Google Vertex AI (strong preference), Experience with AWS or Azure AI services, Containerized and cloud-native AI deployments
Application & Platform Architecture: FastAPI and modern backend frameworks, Microservices and API-driven architectures, Event-driven and scalable runtime systems

Responsibilities

Designing and reviewing modern RAG pipelines and agentic systems for enterprise use cases.
Building and evolving agent orchestration and agent-to-agent solutions, including task delegation and tool calling.
Creating hands-on prototypes, POCs, and starter templates to guide development teams.
Advising teams on prompt engineering best practices, evaluation strategies, and observability patterns.
Identifying architectural gaps and helping teams refactor or improve existing AI solutions.
Working closely with architects and developers to translate AI patterns into production-ready designs.
Staying current with AI frameworks, tools, and research, and applying them pragmatically.
Explaining complex AI architecture decisions clearly and effectively.

Benefits

At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we’re happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.

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