Our client is looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise workflows within a secure and governed environment. Start Date: September 7, 2026 End Date: September 3, 2027 Duration: 1 year Location: GTA/Hybrid (approx. 2 days onsite) Required Experience
7+ years of experience in AI/GEN AI/ML engineering, with strong expertise in Azure cloud environments
Proven track record delivering end-to-end AI solutions in production
Experience with Snowflake or modern enterprise data platforms
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field
Core AI & Engineering Capabilities
Generative AI & LLMs
Hands-on experience building Generative AI applications (GPT, Claude, Gemini, etc.)
Experience fine-tuning and optimizing LLMs for enterprise use cases
Designing and implementing RAG (Retrieval-Augmented Generation) architectures:
Retrieval & embeddings
Vector search
Grounding & context orchestration
AI Agents & Orchestration
Designing and building AI agents using frameworks such as:
LangChain
Semantic Kernel
Azure OpenAI Service
Azure Open AI
Experience with:
Multi-agent systems
Tool/function calling
Workflow automation and orchestration
Azure AI & Platform Engineering
Strong experience across the Azure AI ecosystem:
Azure OpenAI
Azure AI Search
Azure AI Foundry
Azure Machine Learning
Azure Fabric
Snowflake
Integration with enterprise services:
Azure Cognitive Services
Azure Data Lake
Azure Event Hub
Experience deploying scalable solutions on:
Azure Kubernetes Service (AKS)
Distributed, cloud-native architectures
Software Engineering
Strong programming skills in Python
Experience building APIs (FastAPI or similar)
Experience with microservices architecture and enterprise system integration
