Sr. Technical Architect - AI/ML

Snowflake; New York (NY); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) plan

Flexible spending & Health savings

Job summary

Snowflake is seeking an experienced AI/ML leader to architect and deploy enterprise-scale AI/ML solutions within Snowflake native stack and partner ecosystems. You will deconstruct dependencies, manage risk, and mentor senior architects on MLOps and data governance.

You will collaborate with Sales and Product to align technical roadmaps with customer ROI, drive strategic outcomes, and reduce post-deployment technical debt across complex pipelines.

Qualifications

• 8+ years of related enterprise AI/ML experience.
• Strong ability to communicate AI/ML ROI to technical and business audiences.
• Experience reducing post-deployment technical debt.

Responsibilities

• Design robust, scalable AI/ML solutions using Snowflake native stack and partners.
• Perform deep-dive RCA for complex AI/ML system dependencies.
• Collaborate cross-functionally with Sales and Product to align roadmaps with ROI.
• Mentor Level 3 architects on MLOps practices and architectural design.

Skills

AI/ML expertise

MLOps

Root Cause Analysis

Executive communication

Cross-functional collaboration

Data security

Cloud services (AWS/Azure/GCP)

Mentoring

Education

Bachelor's degree

Tools

Snowflake

Cortex Functions

Python

Kubeflow

SageMaker

Databricks

Apache Spark

Job description

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 Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

LEAD. STRATEGIZE. TRANSFORM.

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

WHY THIS ROLE?

This role marks a shift from managing tactical tasks to managing strategic outcomes. You are a seasoned professional with a full understanding of your specialization, resolving a wide range of issues in creative ways.

WHAT YOU'LL DO:

• 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.

TECHNICAL DEPTH & RISK MANAGEMENT:

• 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-NATIVE TECH STACK:

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

OUR IDEAL CANDIDATE WILL HAVE:

• 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.

BONUS POINTS FOR HAVING :

• 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

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $160,000 - $210,000.
• Additionally, this role is eligible to participate in Snowflake's bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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