Principal AI Engineer (AI)

TL;DR

Principal AI Engineer (AI): Defining and driving the technical vision for agentic AI across multiple applications with an accent on reasoning loops, tool use, and scalable AI architecture. Focus on building reusable platform components, optimizing RAG pipelines, and implementing advanced prompting strategies for LLMs.

Location: Remote (Must be based in Canada)

Salary: 110,000–150,000 CAD

Company

An independent technology consulting firm providing guidance and solutions to over 1000 clients globally.

What you will do

• Define technical vision and reference architecture for agentic AI, including reasoning loops, tool use, and memory systems.
• Build and govern reusable platform components such as model brokers, multi-model routing, and evaluation frameworks.
• Develop advanced prompting strategies and analyze the performance of LLM and GenAI models.
• Drive cross-functional roadmaps, API standards, and integration best practices.
• Mentor engineers, lead knowledge-sharing sessions, and perform peer reviews to ensure technical quality.
• Identify and execute AI use cases with clear business value.

Requirements

• Proven experience delivering agentic AI solutions at scale across multiple products.
• Strong expertise in the Microsoft AI ecosystem (Foundry, Copilot Studio, AI Search, OpenAI, RAG).
• Experience with Anthropic platforms (Claude Cowork and Claude Code).
• Advanced proficiency in Python and Java within production environments.
• Hands-on experience with agent frameworks such as LangChain and Foundry.
• Must be based in Canada.

Nice to have

• Familiarity with Salesforce Agentforce.
• Experience with Boomi Agentic AI platform.

Culture & Benefits

• International community featuring more than 110 different nationalities.
• Strong internal training system via the company Academy with 250+ modules.
• Culture of trust with high internal mobility (70% of leaders started at entry level).
• Dynamic environment with regular internal events, afterworks, and team buildings.

Hiring process

• Initial brief virtual/phone conversation to discuss motivations.
• Average of 3 interviews with the line manager and potential team members.
• Technical assessment or case study depending on the specific role requirements.