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Sr. Principal AI Developer
Job in
Richmond Hill, Ontario, Canada
Listed on 2026-05-12
Listing for:
OpenText
Full Time
position Listed on 2026-05-12
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect, Cloud Engineer - Software
Job Description & How to Apply Below
Sr. Principal AI Developer
Job Location
Richmond Hill, ON
The AI Engineering and Enablement organization defines and evolves Open Text’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.
The Opportunity
As Sr. Principal AI Developer, you will be a hands‑on technical leader and architectural partner responsible for shaping how AI solutions are designed, built, evaluated, and evolved 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 will 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.
You Are Great At
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.
Technology Stack & Focus Areas:
Strong experience in the following areas is highly preferred:
Primary
Languages:
Python (primary), JavaScript / Type Script, Java.
AI & Agentic Frameworks:
Lang Graph (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.
What It Takes
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.
Compensation
Open Text offers a thoughtfully designed benefits package that supports 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.
AI Usage Disclosure
As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our…
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