Director, AI & Data Enterprise Architecture

Director, AI & Data Enterprise Architecture 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. OVERVIEW Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. Snowflake is seeking a Director of AI & Data Enterprise Architecture to lead a specialized team providing expert technical guidance for complex cloud integration and strategic scenarios. The ideal executive combines deep technical and hands-on AI development experience to help enterprises modernize data and AI infrastructure and navigate competitive landscapes. Reporting to the VP of Solutions Engineering, this leader will guide customers through transformational journeys across AWS, Azure, GCP, and Data Platform environments, delivering strategic architectural guidance to accelerate adoption and drive measurable business outcomes. The role intersects platform architecture, data intelligence, and AI solutions. This role requires a unique blend of executive leadership presence and technical depth, someone who can architect sophisticated AI/ML solutions while also influencing C-level technology decisions across Fortune 500 enterprises. KEY RESPONSIBILITIES Strategic Architecture Leadership - Lead and scale a high-performing Enterprise Architect team providing expert technical guidance for L400/L500 platform and architecture-focused customer engagements - Define and execute strategic cloud integration planning across major Cloud Service Providers (AWS, Azure, GCP) and ecosystem platforms - Drive proof-of-concept execution and hands-on technical support for complex migration and modernization initiatives - Develop reusable technical assets including presentations, architecture diagrams, and reference implementations AI & Data Platform Expertise - Provide hands-on technical leadership in designing and implementing modern AI/ML architectures on Snowflake - Guide customers in migrating from legacy platforms to cloud-native, AI-ready data architectures. - Architect solutions leveraging Snowflake Cortex, ML capabilities, and integration with leading AI frameworks - Deliver technical guidance on building production-grade AI applications, data pipelines, and analytics platforms - Design secure AI/ML architectures with appropriate governance controls, including LLM safety guardrails and data privacy protections - Design end-to-end MLOps and LLMOps pipelines including model training, evaluation, deployment, and monitoring at enterprise scale - Architect RAG (Retrieval-Augmented Generation) systems, agentic workflows, and multi-model orchestration patterns - Evaluate AI & Platform build vs. buy decisions, including cost modeling for inference, fine-tuning, and managed AI services Competitive Technical Analysis - Lead competitive technical analysis and develop strategic positioning for complex, multi-platform customer environments - Build deep expertise in competitive cloud data platforms and articulate Snowflake's differentiated value proposition - Create technical battle cards, competitive playbooks, and strategic guidance for field teams - Partner with Product and Engineering to inform roadmap priorit ... (truncated, view full listing at source)