Sr. Technical Architect - AI/ML

🌍 УдалённоSeniorПолная занятость🌐 Глобал

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Наша компания

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snow

О роли

We are seeking an advanced professional handling complex enterprise AI/ML deployments, deconstructing system dependencies, and ensuring production robustness. WHY THIS ROLE?

Чем предстоит заниматься

Design robust, scalable AI/ML solutions utilizing the full Snowflake native stack and partner ecosystem

Perform deep-dive Root Cause Analysis (RCA) for complex system dependencies in AI/ML solutions

Collaborate cross-functionally with Sales and Product teams to align technical roadmaps with customer ROI

Mentor Level 3 architects on best practices for MLOps and architectural design

Наши требования

Experience with GenerativeAI, LLMs and Vector Databases

Experience with Databricks/Apache Spark

Experience implementing data pipelines using ETL tools

Experience working in a Data Science role

Proven success at enterprise software

Vertical expertise in a core vertical such as FSI, Retail, Manufacturing, etc

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Typically requires a minimum of 8 years of related experience with a Bachelor's degree (Radford L4 equivalent)

Seasoned professional expertise in resolving wide-ranging issues in creative ways

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

Reduction in post-deployment technical debt; Regional success of complex implementations; Peer mentorship impact

Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management

Дополнительно

Distributed Systems: Deconstruct failures in complex pipelines involving external cloud services (AWS/Azure/GCP)

Predictive Failure Analysis: Critically think about potential failure modes like model drift and data skew early in the lifecycle

Governance: Architect data security and access controls specifically for sensitive AI/ML training data

Snowflake Model Registry, Cortex Functions, Python, External MLOps (Kubeflow/SageMaker)

Snowflake

US-PA-Remote

ГрейдSenior

ЗанятостьПолная занятость

РегионНе Россия

ФорматУдалённо

ИсточникСкрыто

Опубликовано19 авг.

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