Agentic Ai Architect Jobs in Canada
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About the role
Role: AI Architect Location: Ontario, Canada (Remote only) Type: 6+ month contract
Job Description - Day to Day job Duties: (what this person will do on a daily/weekly basis) As an AI Architect, you will design and build agentic AI systems for multiple Domains such as Healthcare/ Finance/ Retail etc. You will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.
Key Responsibilities:
- Design and implement agent-based AI workflows for different domains such as :
- healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
- Design agentic AI architectures for manufacturing workflows
- Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
- Implement RAG over financial documents, policies, contracts, and filings
- Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
- Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
- Implement HIPAA aware AI architectures with auditability and traceability
- Implement GenAI systems using RAG over CRM, customer data, and content
- Build full-stack applications (Python APIs, AI services, UI dashboards)
- Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
- Integrate LLMs with sensor data, MES, ERP, and IoT platforms
- Collaborate with SMEs to translate medical workflows into agent logic
- Deploy, monitor, and optimize AI systems in Azure
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
- Strong experience in Python-based AI systems - 8+ Years
- Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering) - 8+ Years
- Experience with traditional ML (classification, regression, NLP, time-series)
- Full-stack experience (API design + UI integration) - 5+ Years
- Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
- Experience working in regulated or compliance-heavy domains
- Comfortable working with subject-matter experts
- Strong learning mindset and adaptability
- Experience building production AI systems, not just prototypes
- Ability to explain AI decisions to non-technical stakeholders
- Interest in agentic AI and next-generation AI architectures
Degree: Bachelors in Computer Science or equivalent work experience Nice to Have; (But not a must)
- Multiple Domain exposure
- AWS, GCP, or NVIDIA AI stack experience
- Knowledge of model governance and explain ability
- Experience with document intelligence pipelines
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About NLB Services
Founded in 2007, NLB Services is one of the fastest-growing global providers of IT staffing, digital workforce solutions, and technology talent services. We help organizations scale with Data & AI talent, Cloud & Infrastructure, Software & Product Engineering expertise, delivering transformative outcomes across industries. With deep domain experience in Banking & Financial Services, Insurance, Healthcare, Supply Chain & Logistics, Telecom, and Transportation, we enable enterprises to accelerate innovation, improve productivity, and drive business growth with the right talent at the right time. Our Learning & Development practice —NLL Academy — strengthens talent agility with upskilling, reskilling, and AI-era training programs designed for future-ready workforces. Headquartered in Alpharetta, Georgia (USA), we support growth across the US, India, and Europe, serving as a trusted strategic partner to Fortune 500 and high-growth companies through speed, quality, compliance, and performance in talent delivery.
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