engineering
Posted Jun 25AI/ML Flex Solution Engineer
at Snowflake
Remote
Responsibilities
- - 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.
- - 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.
- - Document successful solution patterns and best practices, contributing to a centralized knowledge base for regional SE reuse.
Requirements
- 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.
- 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).
- 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.
- RESPONSIBILITIES AND SCOPE TECHNICAL LEADERSHIP & SOLUTIONING - Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajors accounts.
- - 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.
- - Lead the rapid technical build of customized AI/ML prototypes to secure technical wins and directly influence incremental consumption for the region.
- CROSS-REGIONAL ENABLEMENT - 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.
- 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.
- METRICS THAT MATTER The performance of the Flex SE will be measured primarily based on their direct contribution to accelerating and growing our AI/ML business within the USMajors sector.
- Our current annual run rate as a business is about $1.8 billion, with AI/ML contributing 2% of that. - Blended Attainment: 60% tied to incremental consumption for the region and 40% tied to TACV bookings for the region - % Increase YoY in AI/ML Revenue: 100% year-over-year growth in AI/ML revenue across USMajors.
- - AI/ML Use Case Tech Wins ($ and Volume): Measured by use cases the Flex SE is tagged to - AI/ML Use Case Go-Lives ($ and Volume): Measured by use cases the Flex SE is tagged to - Regional Technical Proficiency in AI/ML: Measured by AI/ML technical proficiency for SE Generalists at the start of the year compared to end of year 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.
- Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
Experience
- EXPERIENCE - 2+ years of hands-on
Benefits
- How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and
Contact
- benefits information: careers.snowflake.com http://careers.snowflake.com
Additional details
- At Snowflake, we are powering the era of the agentic enterprise.
- 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.
- The Flex SE will act as a critical, hands-on technical resource, accelerating customer adoption and success.
- 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. KEY
- The direction of which account teams to partner with should come from the RVP.
- - Travel up to 30-40% of the time to support critical customer engagements across the assigned regions.
- Some Flex SEs may be subject to doing more than 100% and others less than 100% depending on need/feasibility.
- It is every employee's duty to keep customer information secure and confidential.