Brand AI Architect

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.

We look for low‑ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a platform for Data Engineering, Analytics, AI, and Apps and Collaboration.

We are seeking a senior Brand AI Architect to help formalize and scale how AI powers brand management and execution in the world of AI. The ideal candidate is a technically deep builder with a strong foundation in design and brand systems — someone who can ship AI‑powered tools and automation one day, and run an enablement session for the marketing team the next.

You'll work across multiple brand teams and surfaces acting as both the architect who builds the systems and the partner who ensures they are adopted, governed, and sustained. This role sits at the intersection of engineering, brand execution, and systems thinking and will report to the Director of Brand Strategy and AI Innovation.

Build and Ship AI‑Powered Tools and Workflows

• 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
• Design and implement automation pipelines that connect creative tools, content systems, and AI APIs, reducing manual overhead and building in the consistency required at scale
• Integrate AI capabilities directly into creative production workflows, including generative asset creation tools, design application features, and content workflows using LLMs
• Own the full lifecycle of everything you ship, from initial scope and build through deployment, iteration, and ongoing maintenance

Enable Adoption Across Brand Teams

• 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
• Educate and enable internal teams on the AI tools and systems you build — running onboarding sessions, writing accessible documentation, and being the go‑to resource for practical AI adoption
• Build enablement resources — playbooks, templates, prompt libraries, training — so brand teams can confidently use AI tools without breaking brand standards
• Partner directly with each team to understand their specific needs, then build solutions that are reusable across the broader brand organization

Define and Maintain Governance Standards

• Define and evolve the standards that make AI tooling sustainable: prompt libraries, model selection criteria, output evaluation frameworks, and usage guardrails that protect brand integrity
• Be the first line of defense on brand consistency in AI‑generated outputs across all touchpoints
• Surface insights to leadership: what’s working, what’s not, where the next gaps are

Stay Ahead of the Landscape

• Evaluate new AI platforms, models, and tools — rapidly prototyping with the ones that have genuine application for brand and creative work
• Bring a strong, informed point of view on where AI adds real value versus where it introduces risk or noise

• 8–10 years of combined experience in…