Principal Solutions Architect - AI/ML - Services Delivery

Snowflake
North Carolina
Workplace: RemoteFull timeUSD 160,000 - 210,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Presenting","Technical leadership","Collaboration","Problem-solving","Knowledge transfer"]

Help customers expand their use of the Snowflake Data Cloud by architecting AI/ML solutions from ideation through production. You’ll advise on best practices for scaling production workloads, coordinate with customer teams and Systems Integrators, and provide technical leadership to ensure successful outcomes. Hands-on work includes building POCs with SQL, Python, and Cortex AI features, while applying deep knowledge of generative AI, ML lifecycles, and AI/MLOps across cloud platforms.

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Snowflake
Snowflake
2 months ago

Principal Solutions Architect - AI/ML - Services Delivery

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Last checked: 1 hour agoStatus: Live

Job Summary

Help customers expand their use of the Snowflake Data Cloud by architecting AI/ML solutions from ideation through production. You’ll advise on best practices for scaling production workloads, coordinate with customer teams and Systems Integrators, and provide technical leadership to ensure successful outcomes. Hands-on work includes building POCs with SQL, Python, and Cortex AI features, while applying deep knowledge of generative AI, ML lifecycles, and AI/MLOps across cloud platforms.
Location: North Carolina
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Provide technical expertise on Snowflake for AI/ML workloads and share best practices aligned to Snowflake’s technology stack.
  • •Partner with customers to understand AI/ML use cases, define requirements, and architect Snowflake-centric solutions delivered by Services Delivery.
  • •Design and explain how to build and deploy AI/ML pipelines using Snowflake features and/or its ecosystem based on customer needs.
  • •Build hands-on POCs using SQL, Python, and Cortex AI features to demonstrate implementation techniques and best practices.
  • •Ensure knowledge transfer and guide resolution of customer-specific technical challenges while collaborating with Product, Engineering, and Marketing to improve offerings.

Pay and Benefits

Salary: USD 160,000 - 210,000 annually

Key Requirements

  • •Minimum 5 years of experience working with customers in a pre-sales or post-sales technical role.
  • •Strong understanding of generative AI and agent lifecycles (e.g., ingestion, vector embeddings, LLM selection/optimization, monitoring, and evaluation).
  • •Strong understanding of the full ML lifecycle (feature engineering through deployment and model management).
  • •Strong understanding of AI/MLOps with experience deploying and monitoring models and agents.
  • •Hands-on scripting experience with SQL and at least one of Python, Java, or Scala; plus experience with common AI/ML libraries and public cloud/AI platforms (AWS, Azure, or GCP).
Experience:5+ yearsAI/MLEnterprise softwareCloudGenerative AIMLOpsSystems Integrators
Education:
Skills:PresentingTechnical leadershipCollaborationProblem-solvingKnowledge transfer
Tech Stack:SnowflakeSQLPythonCortex AIAWSAzureGCPAWS SageMakerDatabricksVertex AIAzureMLDataikuDatarobotJavaScalaPandasPyTorchTensorFlowScikit-learnLangChain

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn