Snowflake
Senior AI/ML Architect, Applied Field Engineering
$165K–$217K
US-TX-Remote · Remote · Senior · Full-time · Posted Oct 23, 2026
- Experience
- 5+ years building and deploying machine learning and generative AI solutions in the cloud; 1+ years of practical Snowflake experience is a bonus.
- Education
- Bachelor’s Degree required; Master’s Degree in computer science, engineering, mathematics, or related fields, or equivalent experience preferred.
About the job
Provides hands-on AI/ML expertise to customers, designing Snowflake-based solutions and driving technical wins, adoption, and feedback to product teams.
What you'll do
- Position Snowflake AI/ML capabilities and guide customer proofs of concept, executive readouts, and business value cases.
- Work with product, engineering, and field teams to influence AI/ML roadmaps using customer feedback.
- Create and maintain AI/ML sales materials, demonstrations, technical content, and customer stories.
What they ask for
- 5+ years building and deploying machine learning and generative AI solutions in the cloud.
- Knowledge of generative AI techniques such as RAG, few-shot learning, prompt engineering, or fine-tuning.
- Deep knowledge of Python, common ML packages, and data engineering tools and technologies.
- Strong presentation skills for technical and executive audiences.
Nice to have
- Working knowledge of LLM ecosystem tools such as LangChain or LlamaIndex.
- Experience with cloud infrastructure platforms, large-scale database technology, or 1+ years of practical Snowflake experience.
Pay
$165,000 – $216,562
Tools
Python, LangChain, pandas, sklearn, PyTorch, dbt, Airflow, Spark
AI focus
Designs and deploys enterprise machine learning and generative AI solutions, including RAG, few-shot learning, prompt engineering, and fine-tuning.
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