AI Data Cloud Solutions Engineer

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

Job summary

Snowflake is seeking an AI-focused Solution Engineer who will translate complex data and cloud capabilities into compelling value demonstrations for executives and technical teams. You will work directly with accounts, sales and partners to navigate winning cycles, deliver PoCs, and drive adoption of the AI Data Cloud.

The role blends business acumen with deep technical engagement in a fast-paced, high-trust environment.

Qualifications

• Outstanding presenting skills and executive presence to engage diverse audiences.
• Broad range of experience with data platforms, analytics and cloud technologies including data warehousing and data lakes.
• Proven ability to discuss and demonstrate value of Generative AI and ML use cases for enterprises.
• Hands-on experience with modern AI/LLM ecosystems (RAG) and familiarity with LangChain, HuggingFace, PyTorch.
• Familiarity with data concepts like modeling, governance, and engineering best practices.
• Hands-on expertise with Python and SQL.

Responsibilities

• Present Snowflake technology and the AI Data Cloud to executives and technical contributors.
• Demonstrate value through demos, PoCs, and end-to-end design/implementation in customer environments.
• Stay informed about competitive and complementary technologies and position Snowflake effectively.
• Collaborate with Product Management, Engineering, and Marketing to improve Snowflake's products and messaging.

Skills

Executive presence

Sales engineering experience

Generative AI & ML use cases

Data platforms / analytics / cloud

Python

SQL

Data modeling

Data governance

Data engineering practices

Tools

LangChain

HuggingFace

PyTorch

Job description

Snowflake is seeking an AI-focused Solution Engineer who will translate complex data and cloud capabilities into compelling value demonstrations for executives and technical teams. You will work directly with accounts, sales and partners to navigate winning cycles, deliver PoCs, and drive adoption of the AI Data Cloud.

The role blends business acumen with deep technical engagement in a fast-paced, high-trust environment.