AI Data Cloud Solution Engineer

Snowflake

Greater London

On-site

GBP 70,000 - 110,000

Full time

14 days+
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Job summary

Snowflake in London is seeking a Solution Engineer who can solve complex customer challenges and close large deals. You will work with account teams and partners to understand needs, demonstrate value of the AI Data Cloud, and guide customers through PoCs and design.

You will bridge business and technical audiences, keep up with AI/LLM ecosystems, and collaborate with Product, Engineering, and Marketing to improve Snowflake's offerings. Strong presentation and data platform experience required.

Qualifications

  • Outstanding presenting skills and executive presence with audiences of all levels.
  • Experience in data platforms, analytics, and cloud technologies.
  • Ability to discuss the value of Generative AI and ML for enterprises.
  • Hands-on experience with AI/LLM ecosystems including RAG and open-source tools.
  • Familiarity with data modeling, governance and data engineering best practices.
  • Proficiency in Python and SQL.

Responsibilities

  • Present Snowflake technology and AI Data Cloud to executives and technical contributors at prospects and customers.
  • Demonstrate and communicate the value of Snowflake throughout the sales cycle, from demo to PoC to design and implementation.
  • Immerse yourself in the evolving industry and position Snowflake relative to competitors and alternatives.
  • Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and messaging.

Skills

Executive presence
Presentations
Data platforms
Generative AI
RAG
Python
SQL

Tools

LangChain
Hugging Face
PyTorch

Job description

Snowflake in London is seeking a Solution Engineer who can solve complex customer challenges and close large deals. You will work with account teams and partners to understand needs, demonstrate value of the AI Data Cloud, and guide customers through PoCs and design.

You will bridge business and technical audiences, keep up with AI/LLM ecosystems, and collaborate with Product, Engineering, and Marketing to improve Snowflake's offerings. Strong presentation and data platform experience required.

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