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Senior AI Architect

AI Engineer Full-time Permanent Canada

Job details

Not specified Salary
Canada Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Lead the architecture of a shared AI platform that gives software teams common foundations for building agents and generative AI capabilities. The role focuses on scalable platform design, reusable engineering patterns, and guardrails for model access, orchestration, evaluation, observability, and responsible use. It is listed as remote, with travel to offices for onboarding and team gatherings possible.

Responsibilities - Design and evolve architecture for the agent runtime, MCP integration layer, model gateway, evaluation, and observability services. - Guide the AI engineering team through technical decisions, design reviews, and direct mentorship. - Work with product counterparts to turn roadmaps into architectural requirements and decision documents. - Help product engineering teams adopt the platform through reference designs, templates, APIs, and architectural advice. - Define and oversee standards for security, responsible AI, evaluation, and production readiness.

Requirements - 12+ years in software engineering and platform architecture, with substantial cloud experience; Azure preferred. - 5+ years building AI/ML infrastructure or generative AI solutions at scale. - Practical expertise with agent frameworks, multi-agent workflows, MCP, tool use, RAG, vector stores, and production LLM operations. - Demonstrated success building internal platforms for other engineering teams, including APIs, SDKs, and self-service experiences. - Strong knowledge of cloud-native and distributed systems, data platforms, and security architecture. - Clear technical writing and communication skills for explaining design decisions and trade-offs.

Nice to have Familiarity with Azure OpenAI, AKS, API Management, or Databricks; healthcare technology or clinical workflows; technical leadership in a platform team; advanced agent and MCP patterns, evaluation, or fine-tuning; and governance or model risk work in regulated environments.

Benefits and work setup Listed benefits include retirement matching, flexible paid time off, wellness support, parental and caregiver leave, fertility and adoption support, and ongoing development resources. Remote work may involve travel to office events.

Skills detected in the listing

Azure
Detected Nov 3, 2026
Last verified Nov 12, 2026

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