Job Title: Solution Architect
Location: Toronto, ON (Hybrid ( days per week in-person at Office))
Duration: Months
Role Descriptions:
End-to-End GenAI Architecture
Design scalable AI/GenAI solutions on Azure using AI Foundry, Azure OpenAI, and Azure AI Search.
Agentic & Multi-Agent System Design
Architect advanced AI systems with LangChain/LangGraph, enabling tool-calling, routing, memory, and stateful workflows.
Reference Architecture Definition
Define reusable architectures for RAG, conversational AI, document processing, copilots, and decision-support systems.
LLM Orchestration Frameworks
Govern implementation of chains, retrievers, tools, and graph-based workflows with best practices for modular orchestration.
Advanced Workflow Patterns
Establish patterns like supervisor-worker models, branching logic, and human-in-the-loop interactions.
Prompt Engineering & Evaluation Strategy
Standardize prompt design, versioning, testing, regression, and observability (logs, traces, metrics).
NLP & Language AI Leadership
Lead design of NLP solutions (classification, summarization, semantic search, entity extraction) using Azure AI Language.
Python & AI Engineering Standards
Guide API/microservices architecture, enforce coding standards, and optimize performance, cost, and lifecycle management.
Enterprise Security & Governance
Ensure compliance with BFSI standards using Entra ID, RBAC, VNET, private endpoints, and Responsible AI practices.
Stakeholder Engagement & Pre-Sales
Drive workshops, translate business needs into architectures/ADRs, and support RFPs, proposals, and client solutioning.
Skills: Digital : Natural Language Processing (NLP)~Digital : Python for Data Science~AI & GenAI for BPS
Experience Required: - Years
Solution Architect – AI & Generative AI • Toronto, ON
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