Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.
LP
AI Engineer – Snowflake
Posted via LinkedIn Recruiter (not a company profile)
Posted last month
About the role
- Senior AI Engineer with Snowflake expertise needed to design and productionize AI/ML and GenAI solutions. Hybrid in Toronto, contract role.
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.
Requirements
- 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: 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. Requirements added by the job poster: 3+ years of work experience with Snowflake, 3+ years of work experience with Azure AI Foundry, 5+ years of work experience with Python.
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