As of November 6, 2026, Jobsy lists 16 forward deployed ai engineer jobs in Canada. The median advertised pay is $155,002 a year (from 5 postings). The most active employers are Urban Ridge Supplies, AGF Investments Inc. and Accenture Inc Company. Skills often requested: python, api development, microsoft azure and software development.
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10+ YOE10+ MgmtCandidates need 10 to 15 years of engineering experience with cloud-native systems and 8 years in Java, TypeScript or Python. They also need agentic AI deployment experience, enterprise client-facing leadership, and experience leading engineering teams.
7+ YOE7+ MgmtAccenture Inc needs candidates with 7+ years of cloud-native engineering and 7+ years leading software teams, plus 1+ year of production agentic AI work and experience with enterprise AI platforms. Candidates also need 5+ years of client-facing technical leadership and experience with senior executives.
Bell Canada: Bell is Canada's largest communications company providing advanced Bell broadband wireless, Internet, TV, media and business communications services.
5+ YOECandidates need production experience building agentic applications, including MCP servers and multi-agent workflows, plus experience deploying AI on a major cloud platform. A strong Python and API background, experience with RAG and vector databases, and adequate French for Quebec positions are also required.
Google Cloud, Amazon Bedrock, Salesforce, ServiceNow, Python
5+ YOECandidates need production experience building agentic applications, such as multi-agent workflows and Model Context Protocol servers, plus cloud AI deployment experience on a major platform like Google Cloud. Strong Python and API skills and experience with retrieval-augmented architectures and vector databases are required.
Google Cloud, Amazon Bedrock, Salesforce, ServiceNow
AGF Investments Inc.: AGF Investments entities only provide investment advisory services or offers investment funds in the jurisdiction where such firm and/or product is…
7+ YOECandidates need at least 7 years of software or AI engineering experience, including 3 years building AI, machine learning or generative AI solutions. Advanced Python, RAG, agent design and API integration are required; financial services experience is a strong asset.
Python, GitHub, Azure AI Foundry, Azure OpenAI Services, Microsoft Copilot Studio, Microsoft Power Platform
AGF Investments Inc.: AGF Investments entities only provide investment advisory services or offers investment funds in the jurisdiction where such firm and/or product is…
7+ YOECandidates need at least 7 years of software or AI engineering experience, including 3 years building AI, machine learning or generative AI solutions. Advanced Python, RAG, agent design and API integration are required; financial services experience is a strong asset.
Python, GitHub, Azure AI Foundry, Azure OpenAI Services, Microsoft Copilot Studio, Microsoft Power Platform
AGF Investments Inc.: AGF Investments entities only provide investment advisory services or offers investment funds in the jurisdiction where such firm and/or product is…
7+ YOECandidates need at least 7 years of software or AI engineering experience, including 3 years building AI, machine learning or generative AI solutions. Advanced Python, RAG, agent design and API integration are required; financial services experience is a strong asset.
Python, GitHub, Azure AI Foundry, Azure OpenAI Services, Microsoft Copilot Studio, Microsoft Power Platform
AGF Investments Inc.: AGF Investments entities only provide investment advisory services or offers investment funds in the jurisdiction where such firm and/or product is…
7+ YOECandidates need at least 7 years of software or AI engineering experience, including 3 years building AI, machine learning or generative AI solutions. Advanced Python, RAG, agent design and API integration are required; financial services experience is a strong asset.
Python, GitHub, Azure AI Foundry, Azure OpenAI Services, Microsoft Copilot Studio, Microsoft Power Platform
10+ YOECandidates need 10+ years in data engineering, AI application development and production software engineering, with strong Python, PySpark, SQL, FastAPI, Docker, Kubernetes, Airflow and MLflow skills. Financial services experience and strong client-facing skills are also required.
Candidates need proven experience shipping production systems, backend and API development, and cloud-native architecture (Azure preferred). Hands-on experience building LLM-powered applications, agent workflows, and secure, governed AI implementations is also required.
7+ YOECandidates need a degree in a technical field, at least 7 years in software or AI engineering and 3 years building AI or generative AI solutions. They need advanced Python, RAG and agent experience, API integration skills, and the ability to work directly with business stakeholders.
Python, GitHub, Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, Power Platform
4+ YOECandidates need 4-7 years of software engineering experience, including 2 to 3 years hands-on with GenAI and agents, plus production experience with agentic applications, cloud AI platforms and Python. Strong skills in data pipelines, vector databases and RAG are required.
Google Cloud, Amazon Bedrock, Salesforce, ServiceNow, Python, Vector databases
4+ YOEBell requires 4 to 7 years of software engineering experience, including 2 to 3 years with GenAI and agents. Candidates need production experience with agentic applications, cloud AI platforms, data pipelines, RAG and strong Python skills.
Google Cloud, Amazon Bedrock, Salesforce, ServiceNow, Python, Model Context Protocol
Qureos Inc: Qureos is an AI-powered talent acquisition platform and managed services provider that helps companies find the people they couldn't reach on their…
3+ YOECandidates need 3 to 6 years of full-stack or customer-facing engineering experience, with TypeScript or Python, React and SQL. They must have shipped production LLM or agentic applications, understand evaluations and monitoring, and communicate well with technical and non-technical stakeholders.
Candidates need hands-on experience deploying production software, integrations or cloud solutions, strong programming skills, REST API and cloud knowledge, and clear communication with clients. Familiarity with AI and GenAI technologies is required.
5+ YOECandidates need 5+ years of Data Science or Applied AI experience, strong Python and SQL skills, and the ability to turn ambiguous client challenges into concrete requirements. They must own projects end to end with a get-things-done mindset.
How much does a forward deployed ai engineer make in Canada?
The median advertised pay is $155,002 a year, across 5 postings that list pay. The lowest quarter pays under $155,002 and the top quarter over $155,002.
Who is hiring forward deployed ai engineers?
Urban Ridge Supplies (4), AGF Investments Inc. (4), Accenture Inc Company (2), Bell (1) and Bell Canada (1).
What skills do forward deployed ai engineer jobs ask for?
Postings most often mention python, api development, microsoft azure, software development, databricks, presentation skills, communication skills and problem solving.