AI Data Cloud Solutions Engineer

Snowflake; Oslo; On-site; NOK 1,000,000 - 1,400,000; Full time

Job summary

Snowflake is seeking a Solution Engineer in Oslo to help drive AI Data Cloud adoption. The role blends business strategy with technical demonstrations, engaging executives and engineers to articulate value and win enterprise deals.

You will demo Snowflake capabilities, support proofs of concept, and work with sales teams to design and implement solutions that accelerate customer outcomes. Strong AI/ML and data engineering background is required.

Qualifications

• Outstanding presenting skills and executive presence in front of technical, business and executive 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, Hugging Face, PyTorch.
• Familiarity with data concepts like data modeling, governance, and engineering best practices.
• Hands-on expertise with Python and SQL.

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors.
• Work hands-on with prospects to demonstrate value throughout the sales cycle.
• Immers[e] yourself in evolving industry and position Snowflake relative to competitors.
• Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products and marketing.

Skills

Executive presence

Customer-facing

Communication

Data platforms

Cloud technologies

Tools

Python

SQL

LangChain

Hugging Face

PyTorch

Job description

Snowflake is seeking a Solution Engineer in Oslo to help drive AI Data Cloud adoption. The role blends business strategy with technical demonstrations, engaging executives and engineers to articulate value and win enterprise deals.

You will demo Snowflake capabilities, support proofs of concept, and work with sales teams to design and implement solutions that accelerate customer outcomes. Strong AI/ML and data engineering background is required.