Work Arrangement:

Hybrid – minimum 2 days onsite per week

Type:

Contract

About the Role We are looking for an experienced

AI Engineer with strong 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 robust 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 optimisation .

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

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.

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📌 AI Engineer - Snowflake (Winnipeg)
🏢 PrecisionERP/PrecisionIT
📍 Winnipeg