Principal Technical Architect – AI/ML

Job not on LinkedIn

🔥 1 minute ago

🗽 New York – Remote

🗽 New York – Remote

💵 $196k - $257.2k / year

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

📋 Description

• 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.

🎯 Requirements

• 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.