About the company
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 fully remote role offers the opportunity to design and build advanced agentic AI systems across industries including healthcare, finance, manufacturing, and retail.
Responsibilities
- Design and implement agentic AI workflows and architectures for use cases across healthcare, finance, manufacturing, retail, and other enterprise domains.
- Build LLM-powered systems incorporating RAG, embeddings, tool-calling agents, and multi-agent orchestration.
- Develop healthcare AI solutions such as clinical assistants, triage agents, care pathway optimization, and revenue-cycle-management automation.
- Design AI architectures for manufacturing workflows and integrate intelligent systems with sensor data, MES, ERP, and IoT platforms.
- Develop multi-agent financial AI solutions for analysis, compliance, advisory, and related workflows.
- Build and deploy classical machine learning models for risk scoring, prediction, classification, NLP, time-series analysis, clustering, and anomaly detection.
- Implement compliance-aware AI architectures with appropriate auditability, traceability, and governance.
- Develop full-stack AI applications using Python APIs, AI services, and user-facing dashboards.
- Integrate AI solutions with EHRs, data lakes, CRM platforms, customer data, and healthcare systems.
- Deploy, monitor, troubleshoot, and continuously optimize production AI systems in Azure.
Requirements
- 8+ years of strong experience building Python-based AI systems and production-grade AI solutions.
- 8+ years of hands-on experience with generative AI technologies, including LLMs, RAG, embeddings, and prompt engineering.
- 8+ years of experience with traditional machine learning, including classification, regression, NLP, time-series analysis, and anomaly detection.
- 5+ years of full-stack development experience covering API design and UI integration.
- 5+ years of hands-on Azure experience, ideally including Azure ML, Azure OpenAI, Azure Functions, and AKS.
- 5+ years of experience working in regulated or compliance-heavy environments.
- Bachelor's degree in Computer Science or a related field, or equivalent professional experience.
- Strong understanding of agentic AI concepts and emerging AI architectures.
- Experience with AWS, GCP, or NVIDIA AI technologies is a plus.
- Knowledge of model governance and AI explainability is beneficial.
- Experience with FHIR/HL7 and healthcare system integrations is a plus.
Conditions
- Fully remote position within Canada.
- 6+ month engagement.
- T4 or C2C engagement structure.
- Competitive compensation of approximately $80–$90 CAD per hour, depending on location, experience, technical skills, and qualifications.
- Potential access to benefits depending on the nature of the engagement, which may include medical, dental, and vision coverage.
- Potential flexible spending or health savings account options.
- Life and accidental death & dismemberment insurance.
- Short- and long-term disability coverage.
- Paid time off.
- Employee assistance programs.
- Potential participation in a retirement savings program with employer matching.