Commercial Solution Engineer

Snowflake Snowflake · Data AI · Berlin, Germany · Solution Engineering

Commercial Solution Engineer for Snowflake's AI Data Cloud, focusing on demonstrating and strategizing customer adoption of AI/ML features, Cortex AI, Snowflake Cortex Agents, and agentic AI workflows. The role involves presenting AI/ML vision, designing agentic workflows, and helping customers modernize to AI-first architectures leveraging vector search, RAG, and real-time inference. Requires familiarity with AI/ML concepts, LLMs, RAG, vector databases, and agentic patterns, with preferred experience in Python AI/ML libraries and building LLM applications or AI agents.

What you'd actually do

  1. Work hands-on with prospects and customers to demonstrate the value of Snowflake's AI Data Cloud, including Cortex AI, Snowflake Cortex Agents, and ML-powered features, throughout the full sales cycle
  2. Design and demonstrate agentic AI workflows and LLM-powered data applications built on Snowflake
  3. Help customers modernize from traditional analytics to AI-first architectures leveraging vector search, RAG pipelines, and real-time inference
  4. Stay at the cutting edge of Generative AI, LLMs, and agentic frameworks and confidently present Snowflake's AI roadmap
  5. Collaborate with Product, Engineering, and Marketing to improve Snowflake's AI products and go-to-market messaging

Skills

Required

  • Solution Engineering / Solution Architect experience in a SaaS environment, or relevant industry experience in analytics, data science, or data engineering
  • Demonstrated familiarity with AI/ML concepts — including LLMs, prompt engineering, RAG (Retrieval-Augmented Generation), vector databases, and agentic AI patterns
  • Outstanding presentation skills to both technical and executive audiences
  • Hands-on experience with SQL and comfort working with structured and unstructured data
  • Understanding of modern data architecture, cloud platforms, and AI-native application design
  • Customer-facing skills to communicate Snowflake's AI and data vision to a wide range of audiences

Nice to have

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

What the JD emphasized

  • agentic enterprise
  • AI-native thinkers
  • AI as a high-trust collaborator
  • Demonstrated familiarity with AI/ML concepts
  • agentic AI patterns
  • AI-first architectures
  • Generative AI
  • LLMs
  • agentic frameworks
  • AI Data Cloud
  • Cortex AI
  • Snowflake Cortex Agents
  • agentic AI workflows
  • LLM-powered data applications
  • vector search
  • RAG pipelines
  • real-time inference
  • AI differentiation
  • AI roadmap
  • competitive AI/data landscape
  • AI products
  • AI- and data-focused conferences

Other signals

  • AI-native thinkers
  • AI as a high-trust collaborator
  • agentic enterprise
  • AI-first architectures