Snowflake

This role focuses on empowering System Integrator (SI) partners to successfully deploy AI/ML solutions on the Snowflake AI Data Cloud. The Senior Data Cloud Architect will guide partners through technical wins, production deployments, and building their AI/ML practices. Key responsibilities include strategic account alignment, developing rapid deployment frameworks, building partner capabilities, creating joint solutions, and providing hands-on expertise with Snowflake's Cortex AI and ML capabilities for various gen AI customer journeys.

Snowflake is seeking an AI Architect for their Applied Field Engineering team to provide expertise and support in designing and architecting AI solutions on the Snowflake AI Data Cloud. This role involves working with technical decision-makers and data scientists, collaborating with cross-functional teams, and influencing product roadmaps. The ideal candidate will have experience building and deploying ML and generative AI solutions, familiarity with techniques like RAG and prompt engineering, and strong Python and ML package knowledge.

Senior Product Manager for Applied AI at Snowflake, focusing on bringing generative AI and ML to enterprise customers within the Data Cloud. The role involves owning the end-to-end product lifecycle for AI solutions and services, defining roadmaps, and working with engineering to deliver innovative, easy-to-use AI capabilities. Key responsibilities include cross-functional leadership, customer engagement, commercializing innovation, and shaping business strategy at the intersection of customers, engineering, and GTM.

Software Engineer role focused on building AI-driven migration products for Snowflake. The role involves developing foundations for AI agents that perform code conversion, data migration, and validation, aiming to accelerate application migration to Snowflake. It emphasizes strong software engineering in Python, experience with agentic AI applications (especially code gen), and contributions to agentic frameworks.

This role focuses on enabling partners to build and deploy AI-native applications and ML models on the Snowflake Data Cloud. The Solution Engineer will provide technical expertise, training, and architectural guidance to partners, helping them leverage Snowflake's platform for SaaS native app development, data optimization, and Gen AI solutions. Key responsibilities include running training sessions, developing technical strategies, and assisting partners with deploying ML models and building Gen AI applications within Snowflake.

Software Engineering Intern role at Snowflake, contributing to an AI-focused R&D team building AI-powered products like Snowflake Intelligence. The role involves designing, implementing, and maintaining AI systems, ML pipelines, and optimizing model serving and inference infrastructure.

Senior/Staff Software Engineer on the ML Platform team at Snowflake, focusing on building the next-generation platform for enterprise AI and LLM workloads. The role involves defining roadmaps, designing and executing on ML serving infrastructure, and ensuring operational excellence for customer-facing ML services, with a strong emphasis on LLM inference and serving fine-tuned models.