Senior Solution Engineer - Acquisition

Snowflake Snowflake · Data AI · Paris, France · Sales

Senior Solution Engineer focused on Snowflake's AI Data Cloud, demonstrating and strategizing customer adoption of AI/ML features like Cortex AI, Cortex Agents, and agentic workflows. The role involves designing LLM-powered applications, explaining AI differentiation, and staying current with Generative AI trends and competitive landscape.

What you'd actually do

  1. Present Snowflake's technology and AI/ML vision to executives and technical contributors at prospects and customers
  2. 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
  3. Design and demonstrate agentic AI workflows and LLM-powered data applications built on Snowflake
  4. Help customers modernize from traditional analytics to AI-first architectures leveraging vector search, RAG pipelines, and real-time inference
  5. Stay at the cutting edge of Generative AI, LLMs, and agentic frameworks and confidently present Snowflake's AI roadmap

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 Data Cloud
  • Cortex AI
  • Snowflake Cortex Agents
  • agentic AI workflows
  • LLM-powered data applications
  • AI-first architectures
  • Generative AI
  • LLMs
  • agentic frameworks
  • AI differentiation
  • AI/ML concepts
  • LLMs
  • prompt engineering
  • RAG (Retrieval-Augmented Generation)
  • vector databases
  • agentic AI patterns
  • AI-native application design
  • AI and data vision

Other signals

  • AI Data Cloud
  • Cortex AI
  • Snowflake Cortex Agents
  • agentic AI workflows
  • LLM-powered data applications
  • AI-first architectures
  • Generative AI
  • LLMs
  • agentic frameworks