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Solution Engineer - Insurance & Asset Management

Snowflake - London, United Kingdom - In-office - posted 2026-08-05

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Snowflake is seeking a Solution Engineer to accelerate AI Data Cloud adoption in the Insurance & Asset Management vertical. You will work directly with the sales team and channel partners to understand customer needs, strategize winning sales cycles, deliver compelling value-based demonstrations, support enterprise Proof of Concepts, and close large deals. In this role, you will present Snowflake technology and vision to executives and technical contributors at prospects and customers, demonstrating the value of the AI Data Cloud throughout the sales cycle from initial demo through proof of concept to design and implementation. You'll maintain deep understanding of competitive and complementary technologies, positioning Snowflake effectively in the market. Collaboration with Product Management, Engineering, and Marketing will be key to continuously improving products and go-to-market strategies. You must bring outstanding presenting skills and executive presence to engage technical, business, and executive audiences. You'll need broad experience with data platforms, analytics, and cloud technologies, including deep knowledge of data warehousing, data lakes, and lakehouse architectures. Proven ability to discuss and demonstrate Generative AI and Machine Learning use cases for enterprises is essential. Hands-on experience with modern AI/LLM ecosystems is required, including Retrieval-Augmented Generation (RAG) and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch. You should understand how to work with and deploy Large Language Models. Core competencies include familiarity with data modeling, data governance, and data engineering best practices. Hands-on expertise with Python and SQL is mandatory. You are equally comfortable in business and technical contexts, bridging gaps between different audiences. You thrive in dynamic, fast-moving environments with flexibility and willingness to get things done. The ideal candidate shares passion for driving AI Data Cloud adoption and embodies customer-obsession, integrity, and great teamwork.

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