Director, AI & Data Enterprise Architecture

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.OVERVIEWSnowflake 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 RESPONSIBILITIESStrategic Architecture LeadershipLead and scale a high-performing Enterprise Architect team providing expert technical guidance for L400/L500 platform and architecture-focused customer engagementsDefine and execute strategic cloud integration planning across major Cloud Service Providers (AWS, Azure, GCP) and ecosystem platformsDrive proof-of-concept execution and hands-on technical support for complex migration and modernization initiativesDevelop reusable technical assets including presentations, architecture diagrams, and reference implementationsAI & Data Platform ExpertiseProvide hands-on technical leadership in designing and implementing modern AI/ML architectures on SnowflakeGuide 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 frameworksDeliver technical guidance on building production-grade AI applications, data pipelines, and analytics platformsDesign secure AI/ML architectures with appropriate governance controls, including LLM safety guardrails and data privacy protectionsDesign end-to-end MLOps and LLMOps pipelines including model training, evaluation, deployment, and monitoring at enterprise scaleArchitect RAG (Retrieval-Augmented Generation) systems, agentic workflows, and multi-model orchestration patternsEvaluate AI & Platform build vs. buy decisions, including cost modeling for inference, fine-tuning, and managed AI servicesCompetitive Technical AnalysisLead competitive technical analysis and develop strategic positioning for complex, multi-platform customer environmentsBuild deep expertise in competitive cloud data platforms and articulate Snowflake's differentiated value propositionCreate technical battle cards, competitive playbooks, and strategic guidance for field teamsPartner with Product and Engineering to inform roadmap priorities based on competitive landscapeExecutive Engagement & Strategic AdvisoryServe as a trusted technical advisor to customer executives navigating complex data and AI transformation initiativesLead high-stakes customer engagements where architectural decisions have significant strategic implicationsBuild and maintain relationships with key customer stakeholders and technology decision-makersRepresent Snowflake at industry events, executive briefings, and strategic customer forumsGuide customers through AI investment decisions with ROI frameworks, TC ... (truncated, view full listing at source)