AI/ML Flex Solution Engineer

🕒 Junho 25

🏄 California – Remoto

🏄 California – Remote

💵 $165.000 - $216.562 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

💻 Engenheiro de Soluções

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Snowflake

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2012

💼 Consultoria

📣 Marketing

Consulting • Marketing • Cloud Computing

A Snowflake é uma empresa de data warehousing em nuvem que oferece uma plataforma inovadora para armazenamento, processamento e analytics de dados. Ela permite que as organizações lidem com grandes volumes de dados de forma eficiente, facilitando insights e Business Intelligence. A arquitetura da Snowflake suporta diversas cargas de trabalho de dados, tornando-a uma solução versátil para empresas que buscam alavancar seus dados na tomada de decisões estratégicas.

Descrição

• Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajors accounts • Conduct technical presentations, product demonstrations, and workshops focused on our AI/ML portfolio (e.g., platforms, services, and MLOps tools) • Architect and prototype foundational AI/ML solutions, including proof-of-concepts (PoCs) that demonstrate clear business value • Serve as the technical bridge between customers and the central AI/ML Product and Engineering teams, synthesizing customer feedback and emerging requirements • Drive sales acceleration through AI-assisted "hands-on-keyboard" development, creating Minimum Viable Products (MVPs) and functional prototypes that quickly demonstrate platform capability and time-to-value • Lead the rapid technical build of customized AI/ML prototypes to secure technical wins and directly influence incremental consumption for the region

🎯 Requisitos

• 2+ years of hands-on experience with AI/ML concepts, such as data preparation, model training (supervised/unsupervised), deployment, and monitoring • Ability to translate this experience directly into how Snowflake can help advance the customer’s AI/ML initiatives • Possesses Level 200-300 knowledge of AI/ML: capable of designing robust solutions, discussing common algorithms and frameworks, and implementing standard MLOps pipelines • Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical topics to both technical and non-technical audiences

🏖️ Benefícios

• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data • Snowflake employees must abide by the company’s data security plan as an essential part of their duties