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 Lang

Chain/Lang

Graph, 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)
🏢 eTeam
📍 Toronto