Senior AI ML Architect, Applied Field Engineering at Snowflake
Boston, Massachusetts, United States
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Summary
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Senior
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Top School
Christopher Sharkey is a Senior AI/ML Architect with 11 years of experience building and scaling analytics, big data, and generative AI solutions for enterprise customers. Currently in Applied Field Engineering at Snowflake after a multi-year tenure architecting analytics and AI/ML at AWS and Microsoft, he blends solution architecture, hands-on implementation, and presales to move proofs-of-concept into production. He has deep, cross-cloud expertise across Snowflake, AWS, and Azure and practical experience with streaming (Flink, Kafka, Kinesis), Spark/Databricks, data lakes/warehouses, and vector/semantic search stacks. Christopher maintains an active GitHub with demos and code samples, signaling a continuous maker mindset alongside strategic customer work. Trained as a software engineer with an early research background in genomics and toxicology, he brings both rigorous scientific thinking and product-focused engineering to complex data problems.
11 years of coding experience
12 years of employment as a software developer
Master's Degree Software Engineering, Master's Degree Software Engineering at Penn State University
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