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Updated 2026-07-02 17:00 UTC·© 2025–2026 RoleSuite
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AI Architect – Agentic Systems

Jobgether · Canada

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.
  • Requirements

    • 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.
    • Benefits

      • 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.

AI Engineering pay context

Based on 577 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $205K/year, with most offers between $167K and $242K (10th–90th percentile: $131K–$276K).

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