Senior AI Engineer – Snowflake AI

Location: Toronto, ON

Work Arrangement: Hybrid – minimum 2 days onsite per week

Type: Contract

About the Role

We are looking for an experienced AI Engineer with robust Snowflake expertise to design, build, and productionize enterprise-grade AI, Machine Learning, and Generative AI solutions.

This role sits at the intersection of Snowflake, Data Engineering, AI/ML, Generative AI, and Microsoft Azure , with a strong focus on building secure, scalable, production-ready AI solutions using trusted enterprise data.

Key Responsibilities

- Design and build AI/ML solutions using Snowflake and Snowflake Cortex AI .
- Develop and productionize RAG applications, enterprise AI assistants, intelligent agents, and natural-language interfaces .
- Leverage LLMs, embeddings, vector search, semantic search, and Snowflake Cortex AI functions .
- Build RAG pipelines covering document ingestion, chunking, embeddings, retrieval, re-ranking, and prompt engineering.
- Develop scalable AI and data pipelines using Python and SQL .
- Integrate structured and unstructured enterprise data into AI workflows.
- Build secure AI solutions aligned with data governance, privacy, cybersecurity, and Responsible AI standards.
- Implement GenAI evaluation and monitoring for accuracy, relevance, hallucination, latency, cost, and model quality.




- Take AI prototypes and proof-of-concepts through to production-ready enterprise solutions .

Required Qualifications
- 7+ years of experience in AI Engineering, ML Engineering, Data Engineering, Software Engineering, or a related area.
- Strong hands-on experience with Snowflake architecture, SQL, data modelling, and performance optimization .
- Strong Python and SQL development skills.
- Hands-on experience with LLMs, RAG, prompt engineering, embeddings, vector search, and Generative AI application development .
- Experience with Microsoft Azure .
- Experience developing production-grade AI and data pipelines.
- Understanding of enterprise security, privacy, access controls, data governance, and Responsible AI.

Key / Preferred Experience Candidates should have hands-on experience with:
- Snowflake Cortex / Cortex AI
- Cortex Search
- Cortex Analyst
- Snowpark
- Snowflake Intelligence
- AI agent architectures
- Azure AI Foundry
- Microsoft Copilot Studio
- Azure Data Factory
- Microsoft Fabric

Additional experience with scikit-learn, PyTorch, TensorFlow, Hugging Face, MLOps/LLMOps, model evaluation, observability, APIs, microservices, event-driven architecture, and CI/CD is highly valued. Experience within highly regulated environments such as utilities, financial services, healthcare, or government is an asset.

Snowflake certifications are considered an asset.

📌 AI Engineer - Snowflake (Greater Toronto Area)
🏢 PrecisionERP/PrecisionIT
📍 Greater Toronto Area