Snowflake Computing

Senior Solutions Architect - AI/ML - Services Delivery

Snowflake Computing$130K — $180K *
US-AnywhereRemote in North Carolina, US
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in pre-sales/post-sales technical roles with customer-facing experience
  • Strong presentation skills for technical and executive audiences
  • Deep understanding of generative AI lifecycles and strategies
  • Comprehensive knowledge of the ML lifecycle and associated methodologies
  • Familiarity with at least one public cloud platform (AWS, Azure, GCP)
  • Proficient in AI/ML platforms (e.g., AWS Sagemaker, Databricks)
  • Hands-on experience with scripting languages SQL and Python (or Java/Scala)

Responsibilities

  • Serve as a technical expert on Snowflake for AI/ML workloads
  • Collaborate with customers to architect tailored Snowflake solutions
  • Build and deploy AI and ML pipelines using Snowflake features
  • Create proof of concepts (POCs) to showcase implementation techniques
  • Facilitate knowledge transfer to empower customers
  • Stay updated on competitor technologies in the AI/ML space
  • Provide support in resolving customer-specific technical challenges

Benefits

  • Opportunity to work in a fast-growing, innovative company
  • Engagement in complex problem-solving across diverse industries
  • Collaboration with leading experts in data science and engineering
  • Chance to influence product improvements and marketing strategies
  • Supportive team environment focusing on professional development
Full Job Description
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 SR. 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?

About Snowflake Computing

Snowflake is a cloud-based data-warehousing company that was founded in 2012. The company provides a data platform that allows customers to store and analyze data using cloud-based infrastructure. Snowflake's platform is designed to be highly scalable and flexible, allowing customers to easily add or remove computing resources as needed. The company's customers include a wide range of businesses, from startups to Fortune 500 companies. Snowflake has received significant funding from investors and has been recognized as one of the fastest-growing companies in the United States.
Learn more about Snowflake Computing
Size
2,037 employees
Market Cap
$44.9 billion
Industry
Net Income
-$539.1 million
Founded
2012
Revenue
$592 million
NASDAQ

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