Principal Technical Architect - AI/ML

Snowflake
New York
Workplace: RemoteFull timeUSD 196,000 - 257,200 annuallyFunction: Software EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Snowflake Cortex","LLM","Vector Data Types","Advanced LLM Frameworks","Generative AI","AI/ML","Enterprise AI","Migrations","Cloud"]

Lead as the technical North Star for high-stakes migrations, guiding legacy modernization and Generative AI initiatives. Define objectives and approaches with high business impact, develop reusable reference architectures and white papers, and act as a trusted advisor to C-suite stakeholders. Address LLM robustness, prompt safety, and latency at enterprise scale while driving legacy-to-cloud transformations and regional practice strategy.

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FursaFursa
Snowflake
Snowflake
3 months ago

Principal Technical Architect - AI/ML

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Lead as the technical North Star for high-stakes migrations, guiding legacy modernization and Generative AI initiatives. Define objectives and approaches with high business impact, develop reusable reference architectures and white papers, and act as a trusted advisor to C-suite stakeholders. Address LLM robustness, prompt safety, and latency at enterprise scale while driving legacy-to-cloud transformations and regional practice strategy.
Location: New York
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Develop reusable solution patterns, global reference architectures, and practice-wide white papers for AI/ML initiatives.
  • •Modernize legacy stacks (Netezza, Teradata, Exadata) into Snowflake AI workloads using deep architectural knowledge.
  • •Act as a trusted technical advisor to C-suite stakeholders, bridging business strategy with AI execution.
  • •Solve for LLM robustness, including managing prompt safety, hallucinations, and latency at enterprise scale.
  • •Legacy Transformation: Facilitate high-complexity data migrations from on-prem legacy systems into AI-ready cloud environments.

Pay and Benefits

Salary: USD 196,000 - 257,200 annually

Key Requirements

  • •Typically requires 12+ years of related experience with a Bachelor’s degree; or 8 years with a Master’s degree.
  • •Expert reputation in the AI/ML community and the Snowflake ecosystem.
  • •Visionary thinker with the ability to influence regional practice strategy and create regional frameworks.
  • •Adoption rate of authored assets and performance in must-win strategic accounts.
  • •Strong executive communication: ability to present complex AI/ML concepts and ROI to technical and business audiences.
Experience:12+ yearsAIEnterprise AISnowflakeAI/ML
Education:Bachelor's
Skills:Snowflake CortexLLMVector Data TypesAdvanced LLM FrameworksGenerative AIAI/MLEnterprise AIMigrationsCloud
Tech Stack:Snowflake CortexLLMVector Data TypesSnowflakeTeradataNetezzaExadata

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