Snowflake

Principal Technical Architect - AI/ML

Full-time · New York City-Remote, NY
✓ Verified live on the employer's own system · added 56 days ago
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Senior · 12+ yrs exp

Requirements

Education: Bachelor's degree

Experience: 12+ years

Skills & tools

Machine LearningSnowflake
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Full job description

Recognized expert and strategic technical advisor resolving critical, wide-ranging design matters for legacy modernization and Generative AI.

You act as the technical "North Star" for high-stakes migrations. You exercise wide latitude in determining objectives and approaches to critical assignments with high business impact.

- Develop reusable solution patterns, global reference architectures, and practice-wide white papers.

- 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.

- Gen AI Robustness: Architect enterprise-grade guardrails for LLMs, ensuring safety and performance.

- Legacy Transformation: Facilitate high-complexity data migrations from on-prem legacy systems into AI-ready cloud environments.

- Strategic Risk Management: Determine technical approaches for assignments that impact regional or global design success.

Vector Data Types, Snowflake Cortex, Advanced LLM Frameworks, Global Asset Creation.

- Typically requires 12+ years of related experience with a Bachelor's; or 8 years with a Master's.

- 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; Performance in "must-win" strategic accounts; Regional practice influence.

- Strong executive communication: Ability to present complex AI/ML concepts and ROI to technical and business audiences.

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