Senior AI Solutions Engineer

Cloudjobs; Chicago (IL); On-site; USD 165,000 - 217,000; Full time

Benefits offered by this job

401(k)

Health/dental/vision

Flexible PTO

Professional development budget

Job summary

Snowflake is seeking a Chicago-based Senior Solution Engineer to solve customers' complex problems and drive large deal closures. This role blends technical depth with business acumen, partnering with sales teams and channel partners to understand needs and deliver compelling demonstrations.

You will build end-to-end ML pipelines, design AI-enabled solutions, and engage with executive and technical audiences to redefine how data powers modern enterprises.

Qualifications

• Outstanding presentation skills for technical and executive audiences.
• Broad experience with databases, data warehousing, ETL, and cloud tech.
• Hands-on expertise with SQL and Python.
• Knowledge of ML concepts and frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Familiarity with LLMs, generative AI, prompt engineering and embedding search.

Responsibilities

• Present Snowflake technology to executives and technical contributors.
• Demonstrate value with Cortex AI, Snowpark ML, and agentic workflows.
• Maintain deep understanding of data, AI, and ML ecosystems.
• Collaborate with Product Management, Engineering, and Marketing teams.
• Support enterprise Proof of Concepts and end-to-end ML pipelines.
• Design solutions leveraging LLMs, RAG, vector search and AI functions.

Skills

Presentation skills

Customer-facing communication

Executive communication

Education

Bachelor's degree in CS/Engineering/Math or equivalent

Tools

AWS

Python

SQL

Job description

Snowflake is seeking a Chicago-based Senior Solution Engineer to solve customers' complex problems and drive large deal closures. This role blends technical depth with business acumen, partnering with sales teams and channel partners to understand needs and deliver compelling demonstrations.

You will build end-to-end ML pipelines, design AI-enabled solutions, and engage with executive and technical audiences to redefine how data powers modern enterprises.