Gen Ai Architect Jobs in Ontario, Canada
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Ontario, Canada
About the role
Job Role: AI Architect (Agentic AI / Generative AI) Location: Toronto, ON (Hybrid) Duration: 12 Months of contract with Possible extension
Role Overview: We are seeking a highly experienced AI / GenAI Solution Architect with deep expertise in Agentic AI, LLM ecosystems, and enterprise AI architecture. The ideal candidate will lead the design and implementation of scalable, production-grade AI solutions, translating business needs into intelligent, automated systems using modern AI frameworks.
Required Qualifications: 10+ years of experience in: AI/ML, Solution or Enterprise Architecture Strong expertise in: Generative AI / LLMs (GPT, Claude, etc.), Agentic AI / AI Agents / Multi-agent systems, RAG (Retrieval Augmented Generation), API-led architecture & microservices Hands-on experience with: Azure / AWS / GCP, LLMOps / MLOps frameworks Proven experience delivering enterprise-scale AI solutions
Key Responsibilities:
- Agentic AI Architecture & Strategy- Design and define architecture for agentic AI platforms and multi-agent systems Build frameworks for: Agent orchestration, Reasoning workflows, Memory and context handling, Tool usage and decision loops Establish reusable patterns for autonomous and semi-autonomous AI agents
- Solution Design & Enterprise Integration- Architect and implement LLM-powered solutions integrated with: Enterprise applications, APIs and microservices, Knowledge management systems (RAG, vector databases) Design scalable, modular, and resilient architectures across hybrid cloud environments Enable interoperability between LLMs, orchestration layers, and enterprise systems
- Generative AI & LLM Ecosystem- Develop solutions using GPT, Claude, and other foundation models Build and optimize: RAG pipelines, Prompt orchestration frameworks, LLM-based applications Drive LLMOps / MLOps practices including model lifecycle, monitoring, and optimization
- Governance, Risk & Responsible AI- Implement Responsible AI frameworks covering: Explainability, Fairness, Transparency Define controls for: Agent permissions, Human-in-the-loop workflows, Data privacy and compliance Ensure adherence to security, regulatory, and enterprise governance standards
- Platform Engineering & Operationalization- Design production-ready AI platforms with: Observability and monitoring, Performance tuning, CI/CD pipelines Enable scalable deployment of AI solutions using cloud-native architectures
- Stakeholder Leadership- Partner with business, engineering, data, and product teams Lead discovery sessions to identify high-impact AI use cases Provide architectural guidance and AI strategy recommendations to leadership
Preferred Qualifications: Experience with:Workflow automation and orchestration tools, Enterprise integration patterns Regulated industries (banking, insurance, healthcare) Familiarity with: AI governance, compliance, and risk management Preferred Certifications: AWS / Azure / GCP AI or ML certifications TOGAF or equivalent architecture certification Security certifications (nice to have)
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About IMCS Group
IMCS Group is an IT, Healthcare, and Professional Staffing Company that helps Enterprises optimize the business value of their Staffing investments and enables them to achieve world-class business performance. IMCS Group supports strategic and operational aspects of IT implementations to help businesses implement growth strategies and leverage technology to achieve competitive advantage. In addition, IMCS provides hospitals and medical facilities with high-quality clinical professionals with the highest standards and compliance to provide the best medical care.
At IMCS Group, quality and efficiency are of paramount importance. Our consistent growth, many successful customer engagements, and high customer retention are the hallmarks of our success. In addition, our passion for taking complex business processes and simplifying them by applying the right technology has been the key to our success.
At all times, IMCS ensures the highest standards of quality in providing resources, time, and material to design, implement, and support to keep organizations operating efficiently.