AI Data Cloud Solution Engineer

Snowflake; London (KY); On-site; USD 120,000 - 180,000; Full time

Job summary

Snowflake seeks an AI-native Solution Engineer to resolve complex customer problems and close large deals. You will work with account teams and partners to understand needs, strategize on winning sales cycles, and deliver compelling value demonstrations.

You will be fluent in both business and technical contexts, bridging audiences and driving adoption of the AI Data Cloud. Join a fast-moving team shaping the future of data-powered work.

Qualifications

• Outstanding presenting skills and executive presence to engage diverse audiences.
• Broad experience with data platforms, analytics, and cloud tech, incl. data warehousing and data lakes.
• Ability to discuss and demonstrate Generative AI and ML use cases for enterprises.
• Hands-on with modern AI/LLM ecosystems, incl. RAG, and familiarity with LangChain, Hugging Face, PyTorch.
• Familiarity with data modeling, governance, and data engineering best practices.
• Hands-on expertise with Python and SQL.

Responsibilities

• Present Snowflake technology and AI Data Cloud capabilities to executives and technical contributors.
• Demonstrate and communicate value of Snowflake during the sales cycle from demo to POC to design.
• Stay informed on industry technologies and position Snowflake effectively against competitors.
• Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products and marketing.

Skills

Executive presence

Data platforms

Python

SQL

Generative AI knowledge

ML use cases

Tools

LangChain

Hugging Face

PyTorch

Job description

Snowflake seeks an AI-native Solution Engineer to resolve complex customer problems and close large deals. You will work with account teams and partners to understand needs, strategize on winning sales cycles, and deliver compelling value demonstrations.

You will be fluent in both business and technical contexts, bridging audiences and driving adoption of the AI Data Cloud. Join a fast-moving team shaping the future of data-powered work.