Principal Solutions Architect - AI/ML, Services Delivery

What We Offer

• Competitive Compensation: The estimated base salary range for this role is $196,000 - $257,200.
• Bonus and Equity: Eligible to participate in Snowflake’s bonus and equity plans.
• Benefits Package: 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.
• Flexible Work Environment: We are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected.

What You'll Do

• 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.
• 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.
• 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.

Who We're Looking For

• 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.
• A 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.
• A thorough understanding of the complete ML life-cycle including feature engineering, model development, model deployment and model management.
• A 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.
• A university degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.

Why Join Us?

• We are powering the era of the agentic enterprise and looking for AI-native thinkers across every function.
• We offer a competitive compensation package, including base salary, bonus, and equity.
• We provide a comprehensive benefits package, including 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.
• We foster a diverse and inclusive workplace where everyone feels valued and respected.