Industry Architect – Retail & Consumer Goods

Snowflake Snowflake · Data AI · NY-New York, United States · Solution Engineering

This role focuses on designing and architecting AI-powered solutions and agentic workflows for the retail and consumer goods industry using Snowflake's AI Data Cloud. The Industry Architect will translate business challenges into scalable data and AI solutions, focusing on customer engagements, end-to-end architectures, and the "last mile" user experience with AI embedded in workflows. They will leverage Snowflake's platform capabilities, build prototypes, create reusable assets, and influence the product roadmap, acting as a bridge between industry needs and AI technology.

What you'd actually do

  1. Lead strategic customer engagements
  2. Translate retail and CPG challenges into end-to-end architectures
  3. Design agentic and AI-powered business workflows
  4. Architect the “last mile” experience
  5. Learn and leverage Snowflake’s broader platform capabilities

Skills

Required

  • Deep understanding of the retail and/or consumer goods landscape
  • Modern data and AI architecture
  • Customer engagement and consulting
  • Solution design and architecture
  • Translating business problems into technical solutions
  • Experience with AI/ML concepts and applications
  • Building prototypes and demonstrations
  • Creating reusable assets for field teams
  • Influencing product roadmaps
  • Communication and presentation skills

Nice to have

  • Experience with Snowflake platform capabilities (Cortex, Horizon, Intelligence, semantic layers, Streamlit)
  • Experience with multimodal capabilities
  • Experience with conversational AI and natural language interfaces
  • Experience with agentic workflows and copilots
  • Ecosystem and partner collaboration

What the JD emphasized

  • agentic enterprise
  • agentic workflows
  • AI-driven decisioning
  • named agents, copilots
  • conversational and natural-language interfaces
  • embedded AI experiences
  • multimodal workflows
  • governed analytics
  • semantic layers
  • discoverable, governed, and usable across internal teams, external ecosystems, and AI-driven workflows

Other signals

  • AI-native thinkers
  • AI as a high-trust collaborator
  • agentic enterprise
  • agentic workflows
  • AI-driven decisioning
  • named agents, copilots
  • conversational and natural-language interfaces
  • embedded AI experiences
  • multimodal workflows
  • Cortex
  • Snowflake Intelligence