Lead AI Engineer | 2+ | Remote, Canada

Qwalton Services Limited; Canada; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Qwalton Services Limited in Canada seeks an experienced AI software engineer to design and build enterprise AI applications and agentic workflows. You will collaborate with Product, Engineering, Data and Business teams to define architectures, prototypes, and production-ready solutions while upholding AI governance, responsible AI, and AI-SDLC practices.

Strong foundations in software engineering and modern AI tooling are essential for delivering scalable, secure and compliant AI solutions in

Qualifications

• Python
• REST APIs
• GraphQL
• Claude, Copilot, OpenAI, Gemini, Llama
• Agentic AI and Multi-Agent Systems
• MCP (Model Context Protocol)
• Prompt Engineering, RAG, Vector Databases
• LangChain, LangGraph, Semantic Kernel, or similar frameworks
• Azure AI Services and Databricks
• AI Governance, Responsible AI, and AI-SDLC
• AI architecture, solution design, and prototyping
• Experience building enterprise AI applications
• Strong software engineering fundamentals

Responsibilities

• Design and develop AI-powered applications and agentic workflows
• Identify and evaluate AI opportunities and use cases
• Define AI architectures, patterns, and best practices
• Build integrations with enterprise platforms, tools, and data sources
• Develop prototypes, PoCs, and production-ready AI solutions
• Drive AI governance, AI-SDLC, and Responsible AI practices
• Partner with Product, Engineering, Data, and Business teams
• Provide technical leadership, solutioning, and innovation.

Job description

***This position is strictly for Canada residents only others are not eligible***Job Description:

Summary

What we're looking for:

Python, REST APIs, GraphQL

Claude, Copilot, OpenAI, Gemini, Llama

Agentic AI and Multi-Agent Systems

MCP (Model Context Protocol)

Prompt Engineering, RAG, Vector Databases

LangChain, LangGraph, Semantic Kernel, or similar frameworks

Azure AI Services and Databricks

AI Governance, Responsible AI, and AI-SDLC

AI architecture, solution design, and prototyping

Experience building enterprise AI applications

Strong software engineering fundamentals

Key Responsibilities:

Design and develop AI-powered applications and agentic workflows

Identify and evaluate AI opportunities and use cases

Define AI architectures, patterns, and best practices

Build integrations with enterprise platforms, tools, and data sources

Develop prototypes, PoCs, and production-ready AI solutions

Drive AI governance, AI-SDLC, and Responsible AI practices

Partner with Product, Engineering, Data, and Business teams

Provide technical leadership, solutioning, and innovation.