Solution Engineer – AI Data Cloud

About the role

Snowflake is looking for a Solution Engineer who can solve complex customer problems, drive AI Data Cloud adoption, and close large deals. You will work closely with sales teams and channel partners, bridging business and technical audiences to deliver value‑based demonstrations and proofs of concept.

Key responsibilities

• Present Snowflake technology and vision, focusing on the AI Data Cloud, to executives and technical contributors at prospects and customers.
• Work hands‑on with prospects and customers to demonstrate value throughout the sales cycle, from demo to proof of concept to design and implementation.
• Maintain a deep understanding of competitive and complementary technologies and position Snowflake accordingly.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and messaging.

Required profile

• Outstanding presenting skills and executive presence to engage technical, business, and executive audiences.
• Broad experience with data platforms, analytics, and cloud technologies, including data warehousing, data lakes, and lake‑house architectures.
• Proven ability to discuss and demonstrate Generative AI and Machine Learning use cases for enterprises.
• Hands‑on experience with modern AI/LLM ecosystems, Retrieval‑Augmented Generation, and open‑source frameworks such as LangChain, Hugging Face, or PyTorch.

Required skills

• Python
• SQL
• Data modeling, data governance, and data engineering best practices
• LangChain, Hugging Face, PyTorch (or similar frameworks)
• Retrieval‑Augmented Generation (RAG) and Large Language Model (LLM) deployment