Snowflake
AI/ML Flex Solution Engineer
About this role
Snowflake seeks an AI/ML Flex Solution Engineer to drive customer adoption of AI/ML solutions across strategic US Major Accounts. This technical role combines hands-on prototyping, solution architecture, and regional enablement to accelerate AI/ML revenue growth, working closely with Account Executives and Solution Engineers to translate business challenges into AI-driven solutions.
What you'll do
- Partner with regional AEs and SEs to identify and develop AI/ML opportunities within major accounts, working under RVP guidance on account prioritization
- Design and prototype AI/ML solutions including PoCs that demonstrate measurable business value using Snowflake's AI/ML portfolio
- Conduct technical presentations, product demos, and workshops on AI/ML platforms, services, and MLOps tools
- Act as technical liaison between customers and central AI/ML Product/Engineering teams, translating feedback and requirements
- Develop AI-assisted MVPs and functional prototypes to accelerate sales cycles and drive incremental platform consumption
- Provide direct technical support to regional SE teams on complex AI/ML sales engagements and create training materials to upskill the broader organization
What they're looking for
- AI/ML fundamentals (data preparation, model training, deployment, monitoring)
- Solution architecture and design at intermediate-to-advanced level (200-300 technical depth)
- Hands-on prototyping and MVP development using modern MLOps tools
- Python or similar programming language for rapid development
- Technical presentation and communication skills for mixed technical/non-technical audiences
- Competitive landscape analysis and emerging AI/ML technology trends
- Snowflake platform expertise and AI/ML integrations
- Cross-functional collaboration and stakeholder management
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Snowflake
Snowflake builds a cloud data platform with marketplace capabilities, analytics infrastructure, and AI-powered data solutions, supported by robust security and streaming systems. The company is hiring full-stack engineers, analytics engineers, solution engineers, security-focused software engineers, and principal engineers to enhance its platform and infrastructure.
- Website
- snowflake.com
Likely interview questions
- Walk us through a specific AI/ML project where you went from business problem to working prototype—what was your role and what technical decisions did you make?
- How do you stay current with rapidly evolving AI/ML technologies, and can you give an example of an emerging capability you've recently evaluated?