Note: The job is a remote job and is open to candidates in USA. Snowflake is powering the era of the agentic enterprise and is seeking AI-native thinkers to help reinvent how work gets done. The AI/ML Flex Solution Engineer is a customer-facing technical role supporting AI/ML initiatives across strategic US Major Accounts by developing prototypes, architecting solutions, enabling regional teams, and accelerating customer adoption and growth.
Responsibilities
- Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajors accounts. The direction of which account teams to partner with should come from the RVP
- 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
- Maintain a current understanding of the competitive landscape and industry trends in AI/ML, advising internal teams and customers accordingly
- 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
- Provide direct technical support and capacity augmentation for regional SE teams engaged in complex or specialized AI/ML sales cycles
- Develop and deliver AI/ML training materials and technical guidance to upskill the broader USMajors SE organization
- Document successful solution patterns and best practices, contributing to a centralized knowledge base for regional SE reuse
- Travel up to 30-40% of the time to support critical customer engagements across the assigned regions
Skills
- Travel up to 30-40% of the time to support critical customer engagements across the assigned regions
- 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
- Technical Depth: 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
Company Overview
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