Description

Hybrid - 2 times a week in office About the Role We are looking for an innovative 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. You will play a key role in developing scalable AI solutions using Snowflake, Snowflake Cortex AI, SQL, Python, machine learning, and Generative AI technologies, while partnering with data and AI engineers, data scientists, architects, governance and cybersecurity teams, and business stakeholders.

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 Bachelor’s or master’s 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.

Solid 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, TensorFlow, 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.

What You Will Bring A strong engineering mindset with the ability to move AI solutions from concept to production.

A passion for solving complex business problems through data and AI.

The ability to balance innovation with security, governance, scalability, and responsible AI.

Strong stakeholder management and communication skills.

A continuous-learning mindset and curiosity about rapidly evolving AI technologies.

Why Join Us? This is an opportunity to help shape the next generation of enterprise AI capabilities, leveraging Snowflake and modern cloud technologies to create secure, scalable, and high-impact solutions. You will have the opportunity to work on strategic AI initiatives, collaborate with cross-functional teams, and directly influence how AI is adopted across the organization.

📌 Senior AI Engineer - Snowflake & Enterprise AI (Toronto)
🏢 Hydro One
📍 Toronto