AI Architect – Agentic Systems

Added
23 minutes ago
Type
Contract
Salary
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Related skills

azure python machine learning ai rag

📋 Description

  • Design and implement agentic AI workflows and architectures for use cases across healthcare
  • Build LLM-powered systems incorporating RAG, embeddings, tool-calling agents, and multi-agent
  • Develop healthcare AI solutions such as clinical assistants, triage agents, care pathway
  • Design AI architectures for manufacturing workflows and integrate intelligent systems with sensor
  • Develop multi-agent financial AI solutions for analysis, compliance, advisory, and related
  • Build and deploy classical machine learning models for risk scoring, prediction, classification

🎯 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
  • 8+ years of experience with traditional machine learning, including classification, regression
  • 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
  • 5+ years of experience working in regulated or compliance-heavy environments.

🎁 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
  • Potential access to benefits depending on the nature of the engagement, which may include medical
  • Potential flexible spending or health savings account options.
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