AI Architect – Agentic Systems
New
CanadaFull-TimeSenior
Salary80 - 90 CAD per hour
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Job Details
- Experience
- 8+ years in AI systems, 5+ years in full-stack, Azure, and regulated industries
- Required Skills
- PythonFull Stack DevelopmentMachine LearningMicrosoft AzurePrompt EngineeringGenerative AI
Requirements
- 8+ years of experience building production-grade AI systems using Python.
- 8+ years of hands-on experience with Generative AI, including LLMs, RAG, and prompt engineering.
- 8+ years of experience in traditional machine learning techniques.
- 5+ years of experience in full-stack development, including API design and UI integration.
- 5+ years of experience working with Microsoft Azure services (Azure ML, Azure OpenAI, Azure Functions, AKS).
- 5+ years of experience in regulated or compliance-heavy industries.
- Strong expertise in building production-ready AI systems with a focus on scalability and reliability.
- Deep understanding of LLM-based architectures, multi-agent systems, and orchestration patterns.
- Strong ability to communicate technical concepts to non-technical stakeholders.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Responsibilities
- Design and implement agentic AI architectures and multi-agent systems for diverse enterprise domains.
- Develop LLM-powered solutions using RAG pipelines, tool-calling agents, and orchestration frameworks.
- Build domain-specific AI workflows such as clinical assistants and financial analysis agents.
- Design and deploy Retrieval-Augmented Generation (RAG) systems over structured and unstructured data.
- Develop classical machine learning models for risk scoring, forecasting, and anomaly detection.
- Build and maintain full-stack AI applications, including Python-based APIs and backend services.
- Integrate AI systems with enterprise platforms such as EHRs, ERP, MES, and IoT systems.
- Deploy, monitor, and optimize AI solutions on Microsoft Azure ensuring scalability and compliance.
- Collaborate with business stakeholders to translate operational workflows into agent-driven AI logic.
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