Senior AI/ML Architect, Applied Field Engineering
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Job Description
Senior AI/ML Architect helping Snowflake customers deploy machine learning and generative AI solutions on its AI Data Cloud. Driving proofs of concept, technical wins, and customer-informed product roadmaps.
Responsibilities:
- Serve as the technical expert positioning Snowflake’s AI and ML features and value to technical stakeholders at customers across the Americas
- Partner with Snowflake account teams and customer champions to scope and drive proofs of concept to successful technical wins
- Deliver executive readouts and business value cases
- Collaborate with product and engineering teams to influence AI and ML roadmaps using customer feedback
- Publish scalable content such as blog posts, conference presentations, technical collateral, notebooks, and demos
- Influence, tailor, and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories
Requirements:
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
- Familiarity with generative AI techniques such as RAG, few-shot learning, prompt engineering, and fine-tuning
- Experience operationalizing enterprise AI use cases such as interactive chat applications or text processing
- Deep knowledge of Python and common ML packages such as LangChain, pandas, sklearn, and PyTorch
- Knowledge of data engineering tools and technologies such as dbt, Airflow, and Spark
- Strong presentation skills for technical and executive audiences
- Bachelor’s Degree required
- Master’s Degree in computer science, engineering, mathematics, or related fields, or equivalent experience preferred
- Working knowledge of LLM ecosystem tools such as LangChain, LlamaIndex, or other OSS packages
- Experience with large-scale infrastructure-as-a-service platforms such as AWS, Microsoft Azure, or GCP
- 1+ years of practical Snowflake experience
- Knowledge of and experience with large-scale database technology such as Snowflake, Netezza, Exadata, Teradata, or Greenplum
Benefits:
- Medical, dental, vision, life, and disability insurance
- 401(k) retirement plan
- Flexible spending and health savings account
- At least 12 paid holidays
- Paid time off
- Parental leave
- Employee assistance program
- Equity plan
- Commission plan
- Competitive benefits package
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