Principal Architect
HybridToronto, Ontario, Canada
Job Summary
Define target-state enterprise architecture for complex AIOS transformations, ensuring alignment between client business strategy, technology landscape, and AI operating model. Establish and maintain platform-wide standards for agent design, orchestration, integration patterns, and API governance. Review and approve squad-level architectural decisions, leading the evolution of reusable reference architectures and technical capabilities across client engagements. Mentor junior architects and senior engineers on design approaches while serving as the escalation point for platform-wide architectural decisions. Develop security and data governance patterns for AI systems to ensure compliance with regulatory requirements. Communicate architecture vision and standards to executive and technical stakeholders quarterly.
Required Qualifications
- 15+ years of experience in enterprise technology delivery, including senior leadership or executive client-facing roles
- Experience designing enterprise-scale AI platforms incorporating agentic AI, retrieval-augmented generation (RAG), orchestration frameworks, API ecosystems, and cloud-native architectures
- Experience providing technical leadership across multiple enterprise transformations simultaneously
- Deep expertise in agent orchestration frameworks, integration architecture, API design, and enterprise software architecture patterns
- Demonstrated experience defining and scaling reusable technical standards across multiple teams or at an enterprise scale
- Strong grounding in security and data governance patterns for AI/ML systems in regulated environments
- Ability to influence enterprise architecture decisions at CIO, Chief Architect, and executive technology leadership. This includes technical decisions and drive adoption without direct reporting authority over the engineers implementing the standards
- Experience establishing reference architectures, technical standards, and governance models adopted across multiple delivery organizations
- Excellent communicator who can translate architecture standards and technical concepts into practical guidance for engineers at different levels
Desired Qualifications
- Prior experience as a Principal Architect, Chief Architect, at a software/SaaS or AI company
- Experience with Azure AI, AWS Bedrock, Google Vertex AI, Open AI, Anthropic or comparable enterprise AI ecosystems
- Track record of building reusable component libraries or platforms that drove measurable adoption and reduced duplicate engineering effort
- Experience with enterprise architecture governance frameworks
- Background in financial services technology or regulated industries
- Experience designing and implementing observability, monitoring, and governance systems for AI/ML platforms
- Published papers, speaking engagements, or open-source contributions demonstrating thought leadership in architecture
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