AI/ML Flex Solution Engineer

Snowflake•Remote, CA

3d•$165,000 - $216,562

About The Position

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. Summary The AI/ML Flex Solution Engineer (SE) is a high-impact, customer-facing technical role supporting AI/Machine Learning (AI/ML) initiatives across our strategic US Major Accounts. This role is designed for a technical professional who possesses a strong foundation in AI/ML concepts, technologies, and solution architecture, positioning them above a generalist but not necessarily requiring deep specialization (Level 200-300 technical depth). The Flex SE will act as a critical, hands-on technical resource, accelerating customer adoption and success. This role translates business challenges into AI/ML- driven solutions through the rapid development of MVPs and prototypes, supporting our regional SE teams, and driving growth in this strategic area. The AE and SE maintain ownership and ultimate approval over the account strategy. The Flex SE role is designed to be supportive, not to supersede their authority. The RVP should provide prescriptive guidance on which accounts the Flex SE should prioritize, as the RVP possesses the most comprehensive regional overview.

Requirements

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.
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. It is every employee's duty to keep customer information secure and confidential.

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.