Job Description
Team: IT
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Architect – Agentic Systems based in Canada.
This is a high-impact architecture role focused on designing and delivering next-generation AI systems powered by generative AI, machine learning, and agentic orchestration. The position involves building intelligent, autonomous agents capable of interacting with enterprise systems, real-time data streams, and domain-specific workflows across regulated industries such as healthcare, finance, retail, and manufacturing. You will define scalable AI architectures that combine LLMs, RAG pipelines, and multi-agent frameworks to solve complex business challenges. The role requires strong systems thinking to bridge AI models with production-grade software and cloud infrastructure. You will collaborate closely with domain experts to translate real-world processes into intelligent agent behaviors. This is an opportunity to shape enterprise AI adoption at scale while working on cutting-edge Azure-based AI ecosystems.
Accountabilities:
- Design and implement agentic AI architectures and multi-agent systems for diverse enterprise domains, including healthcare, finance, retail, and manufacturing.
- Develop LLM-powered solutions using RAG pipelines, tool-calling agents, and orchestration frameworks to enable intelligent automation and decision-making.
- Build domain-specific AI workflows such as clinical assistants, financial analysis agents, compliance systems, and operational optimization tools.
- Design and deploy Retrieval-Augmented Generation (RAG) systems over structured and unstructured enterprise data, including contracts, policies, CRM, and medical records.
- Develop classical machine learning models for risk scoring, forecasting, anomaly detection, and classification use cases.
- Build and maintain full-stack AI applications, including Python-based APIs, backend services, and interactive dashboards.
- Integrate AI systems with enterprise platforms such as EHRs, ERP, MES, IoT systems, and data lakes, including FHIR/HL7-based healthcare environments where applicable.
- Deploy, monitor, and optimize AI solutions on Microsoft Azure, ensuring scalability, performance, auditability, and compliance (including HIPAA-aligned architectures).
- Collaborate with business stakeholders and subject matter experts to translate operational workflows into agent-driven AI logic.
- 8+ years of experience building production-grade AI systems using Python.
- 8+ years of hands-on experience with Generative AI, including LLMs, RAG architectures, embeddings, and prompt engineering.
- 8+ years of experience in traditional machine learning techniques such as classification, regression, NLP, and time-series modeling.
- 5+ years of experience in full-stack development, including API design and UI integration.
- 5+ years of experience working with Microsoft Azure services such as Azure ML, Azure OpenAI, Azure Functions, and AKS.
- 5+ years of experience in regulated or compliance-heavy industries.
- Strong expertise in building production-ready AI systems beyond prototypes, 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 and explain AI-driven decisions to non-technical stakeholders.
- Excellent collaboration skills and experience working with cross-functional domain experts.
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Familiarity with additional cloud platforms (AWS, GCP) or NVIDIA AI stack is a plus.
- Exposure to model governance, explainability, and document intelligence pipelines is an advantage.
- Competitive hourly compensation of $80–$90 CAD/hour for a remote Canada-based role.
- Fully remote work flexibility.
- Access to enterprise-scale AI transformation projects across multiple regulated industries.
- Opportunity to work on cutting-edge agentic AI and GenAI architectures using modern Azure technologies.
- Comprehensive benefits package including medical, dental, vision, disability, and life insurance (based on engagement type).
- Paid time off and participation in retirement and savings programs where applicable.
- Continuous learning and exposure to advanced AI, cloud, and enterprise integration ecosystems.
- Inclusive work environment with equal opportunity employment standards.
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Date Posted
07/02/2026
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