Our client is looking for an creative and experienced AI Engineer with strong Snowflake expertise to design, build, and productionize enterprise-grade AI and machine learning solutions.

In this role, you will work at the intersection of data engineering, AI/ML, Generative AI, and cloud platforms , enabling business teams to leverage trusted enterprise data to drive intelligent decision-making and automation.

Start Date: August 31, 2026 End Date: August 27, 2027 Duration: 1 year Location: Toronto/hybrid model(approx. 2 days onsite) Key Responsibilities Design and develop scalable AI and ML solutions using Snowflake and Snowflake Cortex .

Build and productionize Generative AI applications, including RAG (Retrieval-Augmented Generation), enterprise AI assistants, intelligent agents, and natural language interfaces .

Leverage Snowflake Cortex AI capabilities , including LLMs, embeddings, vector search, semantic search, and AI functions.

Develop data pipelines and AI workflows that integrate structured and unstructured enterprise data.

Implement RAG architectures , including document ingestion, chunking, embedding generation, vector search, retrieval, re-ranking, and prompt engineering.

Build and optimize machine learning models and AI solutions using Python, SQL, and cloud-based AI/ML services .

Develop secure and scalable AI solutions aligned with enterprise architecture, data governance, privacy, and responsible AI standards.

Collaborate with data engineers to ensure high-quality, governed, and AI-ready data.

Partner with business stakeholders to translate complex business problems into practical AI solutions with measurable business value.

Evaluate emerging AI technologies, models, and frameworks and recommend appropriate solutions for enterprise adoption.

Monitor and optimize AI applications for performance, scalability, reliability, cost, and model quality.

Implement evaluation frameworks and monitoring for Generative AI applications, including accuracy, relevance, hallucination, latency, and responsible AI metrics.





Contribute to reusable AI frameworks, patterns, APIs, and engineering standards to accelerate enterprise AI adoption.

Support the transition of AI prototypes and proof-of-concepts into secure, production-ready enterprise solutions.

Required Qualifications Bachelors or masters degree in computer science, Engineering, Data Science, Artificial Intelligence, or a related technical field. 7+ years of experience in software engineering, data engineering, machine learning engineering, or AI engineering.

Strong hands-on experience with Snowflake , including Snowflake architecture, SQL, data modeling, and performance optimization.

Experience building AI/ML or Generative AI solutions using enterprise data platforms.

Strong programming skills in Python and SQL .

Experience with LLMs, prompt engineering, embeddings, vector databases/search, RAG, and Generative AI application development .

Experience working with cloud platforms such as Microsoft Azure .

Experience developing production-grade data and AI pipelines.

Understanding of data governance, security, privacy, access controls, and responsible AI practices.

Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications Must have experience with Snowflake Cortex, Cortex AI, Cortex Search, Cortex Analyst, or Snowpark .

Must have experience with Snowflake Intelligence and AI agent architectures.

Must have experience building AI agents using platforms such as Microsoft Copilot Studio, Azure AI Foundry .

Must have experience with Azure Data Factory, Microsoft Fabric .

Experience with ML frameworks such as scikit-learn, PyTorch, Tensor

Flow, or Hugging Face .

Experience with MLOps, LLMOps, model evaluation, observability, and AI application monitoring.

Knowledge of enterprise APIs, microservices, REST APIs, and event-driven architectures.

Experience working in highly regulated industries such as financial services, utilities, healthcare, or government .

Experience with CI/CD, build enterprise end-to-end AI solution.

Snowflake certifications are an asset.

📌 AI Engineer with Snowflake Expertise (Toronto)
🏢 Addmore Group
📍 Toronto