Solution Engineer - AI Data Cloud & Enterprise Value

PreSales Collective; Greater London; On-site; GBP 88,000 - 132,000; Full time

Job summary

Snowflake is seeking an experienced Solution Engineer to accelerate AI Data Cloud adoption. You will work with account teams and partners to understand customer needs, strategize on winning cycles, deliver compelling demonstrations and support enterprise PoCs to close deals.

You will engage executives and technical audiences, showcasing Snowflake capabilities in data warehousing, lakes and lakehouse architectures, with hands-on Python/SQL and modern AI tools.

Qualifications

• Outstanding presenting skills and executive presence to engage diverse audiences.
• Broad range of experience within data platforms, analytics and cloud technologies.
• Proven ability to discuss and demonstrate value of Generative AI and ML for enterprises.
• Hands-on experience with AI/LLM ecosystems and open-source frameworks.
• Familiarity with data modeling, governance and data engineering best practices.
• Hands-on expertise with Python and SQL.

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors.
• Demonstrate value through demos, PoCs, and design/implementation support.
• Stay current on competitive technologies and position Snowflake accordingly.
• Collaborate with Product Management, Engineering and Marketing to improve products and messaging.

Skills

Executive presentation

Data platforms

Analytics and cloud tech

Generative AI & ML use cases

AI/LLM ecosystems

Data modeling and governance

Python and SQL

Tools

LangChain

Hugging Face

PyTorch

Job description

Snowflake is seeking an experienced Solution Engineer to accelerate AI Data Cloud adoption. You will work with account teams and partners to understand customer needs, strategize on winning cycles, deliver compelling demonstrations and support enterprise PoCs to close deals.

You will engage executives and technical audiences, showcasing Snowflake capabilities in data warehousing, lakes and lakehouse architectures, with hands-on Python/SQL and modern AI tools.