Agentic AI Architect

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

As an AI Architect, you will design and build agentic AI systems across various domains such as healthcare, finance, and retail. You will implement AI workflows, develop architectures, and integrate systems to optimize operations and enhance decision-making.

Candidates should have strong experience in Python-based AI systems and hands-on experience with GenAI technologies. A bachelor's degree in Computer Science or equivalent work experience is required, along with a strong learning mindset and adaptability.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• GenAI
• Machine Learning
• Full-Stack Development
• Azure
• Healthcare Systems
• Compliance
• AI Systems
• Data Integration
• Agentic AI
• NLP
• Risk Scoring
• Anomaly Detection
• Document Intelligence
• API Design
• UI Integration

Formation minimale

Baccalauréat

Expérience minimale

10+ ans