Principal AI Architect

Our client is a high-growth SaaS technology company at the forefront of applying AI to complex, knowledge-intensive workflows. With a strong investment in agentic AI and next-generation automation, they are building scalable, production-ready systems that transform how organizations interact with content, documents, and enterprise knowledge.

This is a rare opportunity for a seasoned AI architect to define the technical foundations of a rapidly evolving AI platform and have a significant impact on the future direction of the business.

RESPONSIBILITIES

• Lead the design and evolution of the company's agentic AI architecture, establishing standards, patterns, and infrastructure for scalable AI-driven product experiences.
• Build and enhance critical AI infrastructure across evaluation frameworks, testing systems, observability platforms, tracing capabilities, and production agent execution environments.
• Design and implement agent orchestration layers, multi-agent workflows, reasoning engines, memory systems, planning frameworks, and adaptive feedback mechanisms.
• Partner closely with engineering teams to review architecture, identify technical risks, and drive best practices without creating delivery bottlenecks.
• Establish a robust AI quality framework, including evaluation datasets, grading systems, regression testing, release gates, experimentation platforms, and production feedback loops.
• Collaborate with engineering, machine learning, and product leaders to make informed architectural decisions and ensure reliable delivery of advanced AI capabilities.
• Mentor senior engineers through design reviews, architecture discussions, and technical leadership, raising standards across the wider engineering organization.
• Evaluate emerging advancements in agentic AI and apply them to build scalable, measurable, and impactful solutions.

SKILLS AND EXPERIENCE

Required

• 10+ years of software engineering experience with substantial expertise designing and delivering production AI systems at Staff, Principal, or equivalent level.
• Proven experience building and shipping agentic AI products, including multi-agent systems, LLM orchestration, tool-use frameworks, and agent execution environments.
• Deep expertise in AI evaluation methodologies, including quality rubrics, curated datasets, deterministic and model-based grading, regression testing, and continuous feedback systems.
• Strong experience with advanced Retrieval-Augmented Generation (RAG) and agentic search architectures, including query decomposition, multi-hop retrieval, hybrid search, reranking, metadata filtering, source routing, evidence validation, citations, and confidence scoring.
• Strong understanding of large language models, retrieval systems, and modern agent design patterns.
• Expertise in large-scale systems architecture, cloud-based AI infrastructure, model serving, deployment pipelines, monitoring, and observability.
• Strong Python development skills and hands-on experience with agent frameworks such as LangChain, LangGraph, Microsoft Agent Framework, or similar technologies.
• Demonstrated ability to influence and guide engineering organizations of 15-20+ engineers through architecture and technical leadership.

Preferred

• Experience building agent-based systems within SaaS products focused on content, document management, or enterprise knowledge workflows.
• Experience with cloud-native machine learning infrastructure on AWS or comparable cloud platforms.
• Prior experience operating as a Principal Architect, Distinguished Engineer, or Staff-plus technical leader in a fast-growth technology environment.

BENEFITS

• Competitive base salary of CAD $200,000 - $220,000.
• Opportunity to shape the future of a cutting-edge AI platform.
• High-impact individual contributor role with significant technical ownership.
• Collaborative, innovation-focused engineering culture.
• Flexible hybrid working environment.
• Career growth within a rapidly scaling technology organization.

KEY TERMS

Principal AI Infrastructure Architect | Principal Engineer | AI Architecture | Agentic AI | Multi-Agent Systems | LLMs | RAG | Agent Frameworks | LangChain | LangGraph | Microsoft Agent Framework | AI Infrastructure | AI Evaluation | Observability | Tracing | Model Serving | Python | Distributed Systems | SaaS | Machine Learning Platform | AWS | Enterprise AI | Staff Engineer | Principal Architect | AI Quality Engineering | Knowledge Systems | Retrieval Systems | Orchestration Frameworks