Job Title: Solution Architect

Location: Toronto, ON (Hybrid (2 days per week in-person at Office))

Duration: 12 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: 6-8 Years

📌 Solution Architect – AI & Generative AI (Toronto)
🏢 TCS Canada
📍 Toronto