Senior Solutions Architect - AI/ML - Services Delivery

Job Summary

We are seeking experienced professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team. As a Sr. Solutions Architect - AI/ML, you will help customers expand their use of the Snowflake Data Cloud to bring AI/ML pipelines from ideation to full production. You will advise clients on best practices for scaling production-ready workloads, design tailored AI/ML solutions, and provide technical leadership and oversight.

Responsibilities

• 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.
• 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.

Requirements

• 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.
• 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

• 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.

Qualifications

• Passionate about driving innovation and pushing boundaries.
• Ability to work independently and as part of a team.
• Strong problem-solving and analytical skills.
• Excellent communication and presentation skills.
• Ability to manage multiple projects simultaneously.
• Ability to work in a fast-paced, dynamic environment.
• Ability to travel as needed.

Benefits

• 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.
• Other company benefits.