Senior Solution Engineer

Responsibilities

• Present Snowflake technology and vision — including our AI and ML platform capabilities — to executives and technical contributors.
• Work hands-on with prospects to demonstrate value throughout the sales cycle, including Cortex AI, Snowpark ML, and agentic workflow use cases.
• Maintain deep understanding of competitive and complementary technologies across data, AI, and ML ecosystems.
• Collaborate with Product Management, Engineering, and Marketing teams.
• Support enterprise Proof of Concepts and implementation designs, including end-to-end ML pipelines and GenAI applications built on Snowflake.
• Design and demonstrate solutions leveraging LLMs, retrieval-augmented generation (RAG), vector search, and AI functions within Snowflake.
• Drive strategic solutions to close business opportunities.

Requirements

• Outstanding presentation skills for both technical and executive audiences.
• Broad experience with Database, Data Warehouse, ETL, and cloud technologies.
• Hands-on expertise with SQL and Python.
• Familiarity with machine learning concepts and frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or similar).
• Working knowledge of LLMs, generative AI, prompt engineering, and embedding-based search.
• Ability to connect business problems with technical solutions, including AI/ML-driven approaches.
• University degree in computer science, engineering, mathematics, or equivalent experience.
• Strong customer-facing communication skills.

Nice-to-Haves

• Experience with Snowflake Cortex AI, Snowpark ML, or Snowflake's Model Registry.
• Experience building data pipelines using open table formats (such as Apache Iceberg or Delta Lake) and managing modern data catalogs (e.g., Unity Catalog, Polaris, Dremio, or AWS Glue Catalog).
• Familiarity with MLOps practices — model deployment, monitoring, and retraining pipelines.
• Experience building or deploying RAG architectures, agentic workflows, or multi-modal AI applications.
• Exposure to vector databases or semantic search tooling (e.g., Pinecone, Weaviate, pgvector).
• Background in a technical presales or solutions engineering role at an AI/ML or data platform company.