Snowflake AI Expert

Snowflake AI Expert

Experience: 5 years of Snowflake development experience

Practice: Data & AI Engineering

About the Role

We are expanding our AI capabilities on the Snowflake platform and are seeking two highly skilled Snowflake AI Experts to join our team. This role sits at the intersection of Data Engineering, Artificial Intelligence, and Machine Learning, enabling organizations to build intelligent, scalable, and production-ready AI solutions directly within the Snowflake ecosystem.

As a Snowflake AI Expert, you will be responsible for designing, developing, and deploying AI-powered applications using Snowflakes native AI/ML capabilities. Working across the entire AI lifecycle, you will leverage technologies such as Snowflake Cortex, Snowpark ML, LLMs, Generative AI, and custom machine learning models to transform business data into actionable intelligence.

You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver innovative AI-driven solutions that are secure, scalable, and operationally efficient. This is a hands-on role requiring both strong technical depth and the ability to translate business challenges into impactful AI applications.

The ideal candidate will bring extensive Snowflake expertise, a strong background in machine learning and AI engineering, and a passion for building next-generation data and AI solutions on modern cloud platforms.

YOUR PROFILE

What Youll Do

• Build with Cortex AI Functions — LLM-based SQL and Python functions for summarization, classification, and more.
• Implement Cortex Analyst for natural-language-to-SQL experiences and Cortex Search for semantic, keyword, and RAG-based search.
• Design AI workflow orchestration using Cortex Agents, and build conversational AI interfaces with Snowflake Intelligence / Copilot.
• Work with Document AI to process unstructured data — text, images, and audio.
• Integrate and fine-tune Large Language Models, including Claude, Llama, OpenAI, Mistral, and Snowflake Arctic, on enterprise data.
• Build embedding and vector-based capabilities for similarity search and clustering.
• Use built-in ML Functions for predictive and classification use cases, and develop custom models with Snowpark (Python, Java, Scala).
• Own the in-platform ML lifecycle — model training, deployment, feature store management, and model registry / versioning.
• Leverage Snowpark Container Services for GPU workloads and custom AI/ML execution.
• Build and expose AI capabilities through the API / SQL-based execution layer.
• Apply OpenFlow expertise, Snowflake CoCo, and Cortex Cost management to keep AI workloads efficient and well-governed.
• Embed governance, security, and observability — RBAC, policies, and monitoring — into every AI workflow, applying Snowflake OSI integration expertise.

What Were Looking For

• 5 years of Snowflake development experience, with a strong track record of building AI/ML solutions.
• Hands-on experience with LLMs, embeddings, and RAG-style architectures.
• Comfort owning the full ML lifecycle, from feature engineering to production deployment.
• Genuine curiosity about applied AI and a track record of turning it into production-grade features.