Principal Solutions Architect - AI/ML, Services Delivery

Snowflake; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Snowflake in the United States seeks a Principal Solutions Architect to lead AI/ML workload architecture and customer engagements. You will design Snowflake-centric AI/ML pipelines, mentor teams, and collaborate with product and engineering to continuously improve Snowflake offerings.

Ideal candidates bring deep experience with AI/ML platforms, cloud ecosystems, and hands-on scripting with SQL and Python. This role emphasizes technical leadership and scalable solutions across customer

Qualifications

• Minimum 5 years experience in a pre-sales or post-sales technical role.
• Outstanding skills presenting to both technical and executive audiences.
• Thorough understanding of generative AI & agent lifecycles (ingestion, embeddings, llm selection, optimization).
• Deep understanding of ML life-cycle (feature engineering, model deployment, management).
• Strong knowledge of AI/MLOps and deployment/monitoring of models & agents.
• Experience with at least one public cloud (AWS/Azure/GCP).
• Experience with AI/ML platforms (SageMaker, Databricks, Vertex AI, AzureML, Dataiku, DataRobot).
• Hands-on scripting with SQL and Python/Java/Scala.
• Familiarity with Pandas, PyTorch, TensorFlow, SciKit-Learn, LangChain/LangGraph.
• University degree in data science, CS, engineering or related fields.

Responsibilities

• Be a technical expert on Snowflake for AI/ML workloads and provide best practices.
• Work with customers to define AI/ML use cases and architect Snowflake-centric solutions.
• Design and deploy 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.
• Maintain understanding of competitive AI/ML tech and how Snowflake positions against them.
• Provide guidance on resolving customer-specific technical challenges.
• Support Services Delivery team in developing their expertise.
• Collaborate with Product, Engineering, Marketing to improve Snowflake offerings.

Skills

5+ years customer-facing experience

Executive presentation skills

Generative AI lifecycles

ML life-cycle understanding

AI/MLOps

Public cloud platforms (AWS, Azure, G

AI/ML platforms (SageMaker, Databricks

SQL and Python/Java/Scala scripting

Libraries: Pandas, PyTorch, TensorFlow

University degree in data science/CS/

Education

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

Tools

Databricks

AWS SageMaker

Azure ML

Vertex AI

LangChain/LlamaIndex

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.

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