AI Data Cloud Solutions Engineer

Snowflake; Oslo fylke; On-site; NOK 900,000 - 1,200,000; Full time

Job summary

Snowflake is seeking a Solution Engineer to solve complex customer problems, collaborate with sales teams, and close large deals. You will demonstrate the AI Data Cloud, support enterprise Proofs of Concept, and drive value-based engagements across executive and technical audiences.

You will work hands-on with prospects, align with product and engineering teams, and shape how Snowflake positions its data cloud offerings in dynamic, fast-moving customer environments.

Qualifications

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

Responsibilities

• Present Snowflake technology and vision focused on the AI Data Cloud to executives and technical contributors.
• Demonstrate and communicate Snowflake value throughout the sales cycle from demo to proof of concept.
• Stay current on competitive technologies and how to position Snowflake accordingly.
• Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and messaging.

Skills

Executive presence

Data platforms

Generative AI/ML use cases

RAG (Retrieval-Augmented Generation)

Python

SQL

Tools

LangChain

Hugging Face

PyTorch

Job description

Snowflake is seeking a Solution Engineer to solve complex customer problems, collaborate with sales teams, and close large deals. You will demonstrate the AI Data Cloud, support enterprise Proofs of Concept, and drive value-based engagements across executive and technical audiences.

You will work hands-on with prospects, align with product and engineering teams, and shape how Snowflake positions its data cloud offerings in dynamic, fast-moving customer environments.