# Senior Solution Engineer

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Chicago, IL
**Role:** Sales Engineering
**Salary:** $165k – $217k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Machine Learning, LLMs, Generative AI, RAG, vector search, ETL, data warehouse, cloud technologies, scikit-learn, PyTorch, TensorFlow, MLOps, Snowflake
**Posted:** 2026-07-27

> Senior Solution Engineer at Snowflake working with sales teams to demonstrate AI/ML capabilities (Cortex, Snowpark), support enterprise POCs, and close deals by connecting customer business problems to Snowflake's data and AI platform solutions. Requires strong presentation skills, SQL/Python expertise, and ML/GenAI knowledge.

## Job Description

## 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.

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