Brand AI Architect

Snowflake Snowflake · Data AI · CA-Menlo Park, United States · Marketing

This role focuses on building and shipping AI-powered tools and workflows for brand management and execution within an enterprise setting. The individual will create internal AI tools (web apps, Streamlit, prompt utilities), design automation pipelines connecting creative tools and AI APIs, and integrate AI into creative production. They will also enable adoption across brand teams through education and documentation, and define governance standards for AI tooling, including prompt libraries, model selection, and guardrails. The role requires hands-on AI experience with LLM APIs and prompt engineering, experience building automation pipelines, and a strong understanding of brand systems and design. It sits at the intersection of engineering, brand execution, and systems thinking, aiming to scale AI adoption for brand management.

What you'd actually do

  1. Build and own a growing library of internal AI tools — custom web apps, Streamlit interfaces, prompt-powered utilities, and automated workflows — that brand teams use in daily production
  2. Design and implement automation pipelines that connect creative tools, content systems, and AI APIs, reducing manual overhead and building in the consistency that brand work requires at scale
  3. Integrate AI capabilities directly into creative production workflows, including generative asset creation tools, design application features, and content workflows using LLMs
  4. Own the full lifecycle of everything you ship — from initial scope and build through deployment, iteration, and ongoing maintenance
  5. Serve as the shared AI implementation resource across brand marketing functions and surfaces — this is a core pillar of the role, not a side responsibility

Skills

Required

  • 8–10 years of combined experience in systems thinking, creative technology, software development, AI engineering, or an adjacent field
  • 3–5 years of hands-on AI experience
  • production-proven work with LLM APIs (OpenAI, Anthropic, Google, etc.)
  • advanced prompt engineering
  • built workflows and tools powered by these
  • Demonstrated experience building automation pipelines using tools or custom scripting
  • connect APIs, creative platforms, and data systems in real working environments
  • Solid design foundations — understanding of brand systems, the intent behind creative decisions, and the tools that support brand capabilities
  • A systems thinker's instinct
  • Strong communication skills across creative and technical audiences
  • The ability to operate autonomously: scope ambiguous problems, make pragmatic calls, and prioritize across multiple teams and workstreams

Nice to have

  • Knowledgeable and comfortable working within the Snowflake ecosystem and tools

What the JD emphasized

  • production-proven work with LLM APIs
  • built workflows and tools powered by these, not just explored them
  • building automation pipelines
  • connect APIs, creative platforms, and data systems in real working environments
  • brand integrity

Other signals

  • AI-powered tools and automation
  • connect creative tools, content systems, and AI APIs
  • Integrate AI capabilities directly into creative production workflows
  • Define and evolve the standards that make AI tooling sustainable
  • prompt libraries, model selection criteria, output evaluation frameworks, and usage guardrails