Lead AI Engineer (Azure / GenAI)

Job Description:

Job Title: Lead AI Engineer (Azure / GenAI)

Location: Toronto, ON

Work Style: Hybrid (2 days per week in-person at Toronto office preferred)

Skills: Digital : Natural Language Processing (NLP)~Digital : Azure Machine Learning (ML)~AI & GenAI for BPS Experience Required: 8-10

Job Description:

LLM Application Development

Build and deploy AI apps using Azure AI Foundry & Azure OpenAI for chatbots, copilots, Q&A, and document summarization.

Conversational & Enterprise AI Integration Integrate AI capabilities into enterprise systems through APIs and microservices.

LangChain & LangGraph Expertise

Develop LLM workflows using chains, tools, retrievers, and graph-based orchestration for multi-step reasoning.

Advanced Agentic Systems

Implement tool-calling, multi-agent architectures (supervisor/worker), and manage conversation memory/context.

RAG Pipeline Development

Build retrieval-augmented generation solutions using Azure AI Search, embeddings, and enterprise data sources.

NLP Engineering

Design pipelines for text extraction, classification, summarization, entity recognition, and semantic search.

Python AI Engineering

Develop scalable Python services with async processing, APIs, and optimization for latency, cost, and token usage.

Safety & Governance

Implement guardrails, moderation, prompt validation, and evaluation frameworks to ensure accuracy and compliance.

 
Cloud & DevOps (Azure)

Deploy on Azure (App Service, Functions, AKS), integrate Entra ID, and support CI/CD, logging, and monitoring.

Core Requirements & Domain Experience

5–8+ years experience, strong Python, Azure AI stack, LLM/RAG expertise; BFSI, MLOps/LLMOps, and Responsible AI are a plus.