AI/ML Flex Solution Engineer

Key Responsibilities

Technical Leadership & Solutioning

• Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within US Majors accounts
• Conduct technical presentations, product demonstrations, and workshops focused on Snowflake's AI/ML portfolio (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 central AI/ML Product and Engineering teams, synthesizing customer feedback and emerging requirements
• Maintain current understanding of the competitive landscape and industry trends in AI/ML
• Drive sales acceleration through AI-assisted "hands-on-keyboard" development, creating Minimum Viable Products (MVPs) and functional prototypes
• Lead rapid technical build of customized AI/ML prototypes to secure technical wins and influence incremental consumption

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 US Majors 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

Preferred Skills and Experience

• 2+ years of hands-on experience with AI/ML concepts: data preparation, model training (supervised/unsupervised), deployment, and monitoring
• Level 200-300 technical depth in AI/ML: capable of designing robust solutions, discussing common algorithms and frameworks, and implementing standard MLOps pipelines
• Excellent communication, presentation, and interpersonal skills with ability to explain complex technical topics to both technical and non-technical audiences