AI Data Cloud Solution Engineer

Snowflake; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Snowflake is seeking a Solution Engineer to accelerate the AI Data Cloud adoption by collaborating with account teams and channel partners to understand customer needs, plan winning sales cycles, and deliver compelling value demonstrations.

In this role you will run hands-on demos, proofs of concept, and design discussions, then partner with Product, Engineering and Marketing to shape the product narrative and help customers bridge business outcomes with technical solutions.

Qualifications

• Outstanding presenting skills and executive presence for diverse audiences.
• Broad experience with data platforms, analytics, cloud technologies, data warehousing and data lakes.
• Ability to articulate value of Generative AI and ML in enterprise contexts.
• Hands-on experience with AI/LLM ecosystems, including RAG, and familiarity with open-source tools.
• Understanding of data concepts such as data modelling, 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 teams.
• Work hands-on with prospects to demonstrate value from demos to proofs of concept.
• Stay current with industry and competing technologies; position Snowflake effectively.
• Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing.

Skills

Executive presence

Data platforms

Generative AI

AI/LLM ecosystems

Data modelling and governance

Python and SQL

Tools

LangChain

Hugging Face

PyTorch

Job description

Snowflake is seeking a Solution Engineer to accelerate the AI Data Cloud adoption by collaborating with account teams and channel partners to understand customer needs, plan winning sales cycles, and deliver compelling value demonstrations.

In this role you will run hands-on demos, proofs of concept, and design discussions, then partner with Product, Engineering and Marketing to shape the product narrative and help customers bridge business outcomes with technical solutions.