Requirements

Solution Engineering or Architect experience, Familiarity with AI/ML concepts, SQL proficiency, French fluency, Presentation skills

Skills

SQLPythonLLM

Present Snowflake's technology and AI/ML vision to executives and technical contributors
Work hands-on with prospects to demonstrate the value of Snowflake's AI Data Cloud, including Cortex AI and ML-powered features
Design and demonstrate agentic AI workflows and LLM-powered data applications
Help customers modernize to AI-first architectures leveraging vector search and RAG pipelines
Create technical champions who understand Snowflake's AI differentiation
Stay at the cutting edge of Generative AI, LLMs, and agentic frameworks
Maintain a deep understanding of the competitive AI/data landscape
Collaborate with Product, Engineering, and Marketing to improve AI products and messaging
Represent Snowflake at industry events and conferences

Solution Engineering or Solution Architect experience in a SaaS environment, or relevant experience in analytics, data science, or data engineering
Familiarity with AI/ML concepts including LLMs, prompt engineering, RAG, vector databases, and agentic AI patterns
Outstanding presentation skills for technical and executive audiences
Hands-on experience with SQL and working with structured/unstructured data
Understanding of modern data architecture, cloud platforms, and AI-native application design
Customer-facing skills to communicate technical vision
Fluency in French

Hands-on experience with Python and AI/ML libraries (LangChain, LlamaIndex, Hugging Face, OpenAI SDK)
Experience building or evaluating LLM applications or AI agents
Familiarity with Snowflake Cortex
Experience with modern data tooling such as dbt, Spark, containers, orchestration tools, Git, or DevOps
Background in data science, ML Ops, or AI engineering

Snowflake is powering the era of the agentic enterprise, helping customers solve complex problems through an AI Data Cloud.