AI Data Cloud Solutions Engineer

Neura Market; Oslo; Hybrid; NOK 1,030,000 - 1,404,000; Full time

Job summary

Snowflake is seeking a Solution Engineer who partners with the accounts sales team and channel partners to understand customer needs, strategize winning sales cycles, and close large deals around the AI Data Cloud.

You will demonstrate Snowflake technology, support enterprise Proof of Concepts, and translate business value for executives and technical audiences, bridging gaps between stakeholders while staying ahead of evolving AI/LLM ecosystems.

Qualifications

• Outstanding presenting skills and executive presence with audiences
• Broad range of experience within Data platforms, analytics, and cloud technologies
• Proven ability to discuss and demonstrate the value of Generative AI and ML use cases for enterprises
• Hands-on experience with modern AI/LLM ecosystems including Retrieval-Augmented Generation (RAG) and familiarity with LangChain, Hugging Face, or PyTorch
• Familiarity with data modeling, data governance, and data engineering best practices
• Hands-on expertise with Python and SQL

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands-on with prospects to demonstrate value through demos and proofs of concept
• Stay immersed 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

Data platforms

Data warehousing

Data governance

Python

SQL

AI/LLM ecosystems

Tools

LangChain

Hugging Face

PyTorch

Job description

Snowflake is seeking a Solution Engineer who partners with the accounts sales team and channel partners to understand customer needs, strategize winning sales cycles, and close large deals around the AI Data Cloud.

You will demonstrate Snowflake technology, support enterprise Proof of Concepts, and translate business value for executives and technical audiences, bridging gaps between stakeholders while staying ahead of evolving AI/LLM ecosystems.