Sr. Technical Architect - AI/ML

Snowflake
New York
Workplace: OnsiteFull timeUSD 160,000 - 210,000 annuallyFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Executive communication","Cross-functional collaboration","Root cause analysis","Mentorship","Creative problem-solving"]

Design and deliver robust, scalable AI/ML solutions using Snowflake’s native capabilities and partner ecosystem. Lead deep root-cause analysis for complex system dependencies, manage predictive failure risks (e.g., model drift, data skew), and architect data security and access controls for sensitive training data. Partner with Sales and Product to align technical roadmaps to customer ROI, and mentor Level 3 architects on MLOps and architectural best practices.

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FursaFursa
Snowflake
Snowflake
5 days ago

Sr. Technical Architect - AI/ML

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design and deliver robust, scalable AI/ML solutions using Snowflake’s native capabilities and partner ecosystem. Lead deep root-cause analysis for complex system dependencies, manage predictive failure risks (e.g., model drift, data skew), and architect data security and access controls for sensitive training data. Partner with Sales and Product to align technical roadmaps to customer ROI, and mentor Level 3 architects on MLOps and architectural best practices.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design robust, scalable AI/ML solutions using Snowflake’s native stack and partner ecosystem.
  • •Conduct deep-dive root cause analysis for complex system dependencies in AI/ML solutions.
  • •Collaborate with Sales and Product teams to align technical roadmaps with customer ROI.
  • •Manage distributed system risks in complex pipelines involving external cloud services (AWS/Azure/GCP).
  • •Mentor Level 3 architects on best practices for MLOps and architectural design.

Pay and Benefits

Salary: USD 160,000 - 210,000 annually

Key Requirements

  • •Typically requires a minimum of 8 years of related experience with a Bachelor's degree (Radford L4 equivalent).
  • •Thorough understanding of the complete Data Science life-cycle, including feature engineering, model development, model deployment, and model management.
  • •Strong executive communication skills to present complex AI/ML concepts and ROI to technical and business audiences.
  • •Expertise resolving wide-ranging issues in creative ways with a focus on reducing post-deployment technical debt.
  • •Seasoned experience mentoring at the peer/architect level and driving success in complex enterprise implementations.
Experience:8+ yearsAI/MLMLOpsEnterprise softwareGenerative AI
Education:Bachelor's
Skills:Executive communicationCross-functional collaborationRoot cause analysisMentorshipCreative problem-solving
Tech Stack:Snowflake Model RegistryCortex FunctionsPythonAWSAzureGCPKubeflowSageMakerETLDatabricksApache SparkGenerativeAILLMsVector Databases

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