Principal Solutions Architect - AI/ML, Services Delivery

Snowflake; New York (NY); Sur place; USD 180 000 - 260 000; Plein temps

Résumé du poste

Snowflake seeks an experienced Principal Solutions Architect - AI/ML to guide customers in expanding AI/ML workloads on the Snowflake Data Cloud. You will architect Snowflake-centric solutions, build AI/ML pipelines, and deliver hands-on POCs using SQL and Python, ensuring smooth knowledge transfer and enabling customers to extend Snowflake capabilities.

You will collaborate with Product, Engineering, and Marketing to advance Snowflake’s AI/ML offerings, leveraging AWS/Azure/GCP and a broad

Qualifications

• Minimum 5 years experience in pre-/post-sales technical roles.
• Outstanding skills presenting to technical and executive audiences.
• Thorough understanding of generative AI lifecycle: ingestion, vector embedding, llm selection, genAI monitoring.
• Thorough understanding of ML lifecycle: feature engineering, model development, deployment, management.
• Strong AI/MLOps understanding for deploying and monitoring models and agents.
• Experience with at least one public cloud: AWS, Azure or GCP.
• Experience with AI/ML platforms such as AWS Sagemaker, Databricks, Vertex AI, AzureML, Dataiku, Datarobot.
• Hands-on scripting with SQL and at least one of Python, Java or Scala.
• Experience with Pandas, PyTorch, TensorFlow, SciKit-Learn, LangChain/LangGraph, LlamaIndex.
• University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.

Responsabilités

• Be a technical expert on Snowflake AI/ML workloads and provide best practices.
• Architect Snowflake-centric AI/ML solutions for Services Delivery engagements.
• Design, deploy, and operate AI/ML pipelines using Snowflake features and ecosystem.
• Build POCs with SQL, Python, Cortex AI features to demonstrate techniques.
• Ensure knowledge transfer so customers can extend Snowflake capabilities.
• Stay informed on competitive technologies and Snowflake positioning.

Connaissances

Executive presentation

AI/ML lifecycle understanding

ML Ops

Scripting languages (SQL)

Python/Java/Scala

LangChain/LangGraph

Pandas

PyTorch

TensorFlow

Data science fundamentals

Formation

University degree in data science, CS, engineering or related

Outils

AWS

Azure

GCP

AWS Sagemaker

Databricks

Vertex AI

AzureML

Dataiku

Datarobot

Apache Spark

Description du poste

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.

We are seeking experienced professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team to help create exciting new offerings and capabilities for our customers!

In this strategic role, you will help customers expand their use of the Snowflake Data Cloud to bring AI/ML pipelines from ideation to full production. Leveraging Snowflake’s native features and extensive partner ecosystem, you will advise clients on best practices for scaling production-ready workloads. You will design tailored AI/ML solutions, coordinate closely with customer teams and Systems Integrators, and provide the technical leadership and oversight needed to ensure successful outcomes.

AS A PRINCIPAL SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL:

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack.

• Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery.

• Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements.

• Work hands-on where needed using SQL, Python, and Cortex AI features to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the AI/ML workload.

• Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own

• Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them

• Provide guidance on how to resolve customer-specific technical challenges.

• Support other members of the Services Delivery team develop their expertise.

• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE:

• Minimum 5 years experience working with customers in a pre-sales or post-sales technical role.

• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos

• Thorough understanding of the common generative AI and agent lifecycles including document ingestion, vector embedding selection, llm selection and optimization, genAI monitoring and evaluation techniques.

• Thorough understanding of the complete ML life-cycle including feature engineering, model development, model deployment and model management.

• Strong understanding of AI/MLOps, coupled with technologies and methodologies for deploying and monitoring models and agents.

• Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)

• Experience with at least one AI/ML platform such as AWS Sagemaker, Databricks, GCP and Vertex AI, AzureML, Dataiku, Datarobot, etc.

• Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.

• Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn, LangChain/LangGraph, LlamaIndex or similar.

• University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience

BONUS POINTS FOR HAVING:

• Experience with Databricks/Apache Spark

• Experience implementing data pipelines using ETL tools

• Proven success at enterprise software

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

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.

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