AI Architect – Agentic Systems

Accountabilities: 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, including RAG over financial documents, contracts, policies, and filings. 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, including HIPAA-aware solutions where applicable. 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, with FHIR/HL7 integration experience considered valuable. Collaborate with subject-matter experts to translate business and medical workflows into effective agent logic and AI-enabled processes. Deploy, monitor, troubleshoot, and continuously optimize production AI systems in Azure. Communicate technical architecture and AI decisions clearly to non-technical stakeholders while balancing business requirements, technical constraints, and responsible AI considerations. 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. Demonstrated experience building and operating production AI systems rather than only prototypes or proof-of-concepts. Strong understanding of agentic AI concepts and emerging AI architectures, with a genuine interest in next-generation AI systems. Ability to collaborate effectively with subject-matter experts and translate domain knowledge into technical solutions. Strong communication skills, including the ability to explain AI architecture, system behavior, and AI-driven decisions to non-technical stakeholders. Strong learning mindset, adaptability, and ability to work across multiple technical and business domains. Multi-domain industry experience is an advantage. Experience with AWS, GCP, or NVIDIA AI technologies is a plus. Knowledge of model governance and AI explainability is beneficial. Experience with document intelligence pipelines is considered an asset. Experience with FHIR/HL7 and healthcare system integrations is a plus. Benefits 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. Additional voluntary or legally required benefits may apply. Opportunity to work on advanced, enterprise-scale AI initiatives spanning multiple industries and technology environments.