Senior AI Engineer - Snowflake & Enterprise AI

Job Description

Senior AI Engineer - Snowflake & Enterprise AI:
On behalf of our Utilities client, Procom is searching for a Senior AI Engineer - Snowflake & Enterprise AI for a 12 month contract role. This position is a hybrid position with 2 days onsite at our client’s Toronto office.

Senior AI Engineer - Snowflake & Enterprise AI - Job Description:
We are seeking an innovative Senior AI Engineer with strong Snowflake expertise to design, build, and productionize enterprise-grade AI and machine learning solutions. This role involves working at the intersection of data engineering, AI/ML, Generative AI, and cloud platforms to enable business teams to leverage trusted enterprise data for intelligent decision-making and automation.

Senior AI Engineer - Snowflake & Enterprise AI - 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.

Senior AI Engineer - Snowflake & Enterprise AI - Mandatory Skills:
• 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.

Senior AI Engineer - Snowflake & Enterprise AI – Nice-to-Have Skills:
• Experience with Snowflake Cortex AI capabilities.
• Knowledge of data governance and security best practices.
• Experience collaborating with cross-functional teams.
• Familiarity with enterprise architecture standards.
• Strong problem-solving and communication skills.

Senior AI Engineer - Snowflake & Enterprise AI – Assignment Length:
This is a 12 month contractor position.

Senior AI Engineer - Snowflake & Enterprise AI - Start Date:
ASAP.

Senior AI Engineer - Snowflake & Enterprise AI - Assignment Location:
Toronto, Ontario, Canada. This is a hybrid position requiring 2 days in the office.

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.