Lead AI Engineer (Azure GenAI)

Job Description:

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

58 years experience strong Python Azure AI stack LLM/RAG expertise; BFSI MLOps/LLMOps and Responsible AI are a plus.