Senior AI/ML Architect, Applied Field Engineering

🔥 14 hours ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $165k - $216.6k / year

⏰ Full Time

🟠 Senior

🔧 Field Service Engineer

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 Description

• 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 based on customer feedback • Publish blogs, 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 • 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 preferred • Knowledge of and experience with large-scale database technology such as Snowflake, Netezza, Exadata, Teradata, or Greenplum

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k) retirement plan • Flexible spending account • Health savings account • At least 12 paid holidays • Paid time off • Parental leave • Employee assistance program • Equity plan • Commission plan