Manager - Azure AI Engineering
Toronto, ONDeloitte
6+ ansCandidates need 6 to 10+ years in data, AI or software engineering, with proven AI/ML or GenAI delivery and hands-on Azure AI, Azure OpenAI, API and Python experience. They also need experience leading technical teams and strong client-facing skills. Bilingual French and English is required for Quebec locations.
Copilot Studio, Azure AI Foundry, Azure OpenAI, Databricks
GenAI & Python Specialist - Operate
Toronto, ONDeloitte
6+ ansCandidates need 6+ years of hands-on AI or GenAI experience using Python, plus deep knowledge of LLMs, NLP and agentic workflows built with LangGraph. Advanced RAG skills, vector retrieval and production API and microservice deployment experience are required.
Python, LangGraph, LangChain, Vertex AI, Appian, GitHub
Architect Manager (2-year Fixed Term), Deloitte Global Consulting Services
Toronto, ONDeloitte
5+ ansCandidates need a degree in engineering or a STEM field and 5+ years of progressive experience architecting enterprise technology. They must have hands-on cloud architecture experience (Azure, AWS, GCP), knowledge of modern and AI-enabled system design, and the ability to work across US, EMEA and APAC time zones.
Azure AI Foundry, LangSmith, Microsoft Fabric, Databricks, Snowflake, Cosmos DB
AI Solutions Architect
Toronto, ONDeloitte
5+ ansCandidates need 5+ years in software engineering or solution architecture and hands-on experience building LLM solutions in production. Strong Azure architecture skills, RAG and agent design experience, and cost-aware, secure cloud design are required.
Azure OpenAI, Azure AI Search, Microsoft Copilot Studio, Google AgentSpace, Kubernetes
Manager Product Engineering & Development
Toronto, ONDeloitte
Candidates need proven technology pre-sales experience and deep architecture skills in one or more technical domains, plus experience leading application development or modernization. Strong executive communication and client-facing skills are essential.
MuleSoft, Software AG, IBM, Terraform, Bicep, Kubernetes
Manager, Product Engineering & Development - Full-Stack Builder
Toronto, ONDeloitte
Candidates need recent hands-on full-stack engineering experience and deep expertise in at least one technical domain such as cloud, DevOps, integration, AI or custom development. Strong client communication, estimation skills and experience leading technical teams are also required.
CI/CD tools, Cloud platforms