Senior AI/ML Engineer (Remote Canada) Salary $190K + AI Tools

📍 Location: ca

🏷 Type: Not specified

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Job Overview

This role is a Senior-Level AI / ML Engineering position focused on enterprise AI deployment and automation within a professional services environment. You will design, build, and scale AI-powered applications using Azure OpenAI, Copilot Studio, and Python. Ideal candidates bring 5+ years of experience and a strong ability to translate business problems into production-ready AI solutions. This is a builder-focused role for engineers who move beyond experimentation into real-world AI impact at scale.

🌍 Work Eligibility & Location

This is a Remote opportunity targeting candidates within Canada, particularly Ontario due to compensation alignment. While visa sponsorship is not confirmed, international applicants may still apply, though hiring preference likely leans toward candidates already authorized to work in Canada. The remote setup offers flexibility but requires alignment with North American time zones for collaboration.

💰 Salary Intelligence

The compensation is highly competitive for the Canadian AI market, especially for roles centered on applied enterprise AI. The range reflects expectations for engineers capable of delivering production-grade AI systems rather than prototypes. Compared to similar roles, this sits in the top 20% of AI engineering salaries in Canada, particularly strong given the fully Remote setup and enterprise exposure.

📊 Role Breakdown

This role is structured around delivering measurable business impact through AI, with approximately 40% focused on building and deploying AI applications using Azure OpenAI and Copilot Studio. Around 25% is dedicated to data engineering and pipeline development, ensuring high-quality structured and unstructured datasets for model performance. Another 20% involves cross-functional collaboration with stakeholders across Tax, Assurance, and Advisory teams to identify automation opportunities.

The remaining 15% centers on experimentation and innovation, where you prototype solutions using tools like LangChain and Azure AI SDK. Key actions include designing AI copilots, automating workflows, and embedding AI into enterprise systems. This is not a research role; success depends on your ability to operationalize AI at scale, ensuring reliability, governance, and measurable ROI across business units.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a high-difficulty Senior-Level role with a strong emphasis on practical AI deployment. The 5+ years experience requirement, combined with expectations around enterprise-grade AI systems, significantly narrows the candidate pool. Competition is intense due to the Remote nature, attracting global applicants. Candidates without direct experience integrating AI into business workflows will struggle to compete.

🚀 Career Impact

This role delivers strong career acceleration by positioning you at the intersection of AI engineering and business transformation. You gain hands-on experience with enterprise AI systems, a critical differentiator for future roles like AI Architect or AI Platform Lead. The opportunity to help build an internal AI team also enhances leadership and strategic influence in your career trajectory.

📋 Key Responsibilities

You will design and develop AI/ML models tailored to business use cases, leveraging Azure OpenAI and related tools. A major focus is to build and deploy AI-powered applications, including chatbots and copilots, that streamline internal workflows. You will also engineer data pipelines using structured and unstructured datasets to ensure model accuracy.

Additional responsibilities include automating enterprise processes, collaborating with cross-functional teams, and prototyping innovative AI solutions. You are expected to apply responsible AI practices, ensuring compliance, explainability, and security when handling sensitive data. Strong emphasis is placed on translating complex AI concepts into actionable solutions for non-technical stakeholders.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

Hiring demand for enterprise AI engineers is currently high urgency, especially for candidates with real deployment experience. Given the Remote nature, expect strong global competition with candidates from North America and beyond. Early applicants with proven Azure AI experience and business impact stories will have a significant advantage in shortlisting.

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✅ Job Source & Verification

This job listing is sourced from the company’s official careers page and recruitment platform, ensuring high source credibility. All role details, responsibilities, and compensation data have been carefully validated against the original posting. Last updated: April 2026. Candidates are advised to verify application status directly on the company site as hiring conditions may evolve.