What are the responsibilities and job description for the AI Architect – Agentic Systems position at Jobgether?
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.
- 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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