3 months ago
Base Salary
$160k - $210k/yr
Responsibilities
- Serve as a technical expert on Snowflake for AI/ML workloads and advise customers on best practices.
- Understand customer AI/ML use cases and requirements and architect Snowflake-centric solutions for Services Delivery.
- Design, build, and deploy AI/ML pipelines using Snowflake features and its ecosystem.
- Build hands-on proofs of concept using SQL, Python, and Cortex AI features.
- Provide technical leadership, oversight, guidance on customer-specific challenges, and knowledge transfer to enable customers.
- Maintain knowledge of competitive and complementary AI/ML technologies and vendors and position Snowflake accordingly.
- Support the development of expertise among Services Delivery team members.
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing.
- Follow Snowflake confidentiality and security standards and protect customer information.
Requirements
- At least 5 years of experience working with customers in a pre-sales or post-sales technical role.
- Strong presentation skills for technical and executive audiences, including whiteboarding, presentations, and demos.
- Thorough understanding of generative AI and agent lifecycles, including document ingestion, vector embeddings, LLM selection and optimization, monitoring, and evaluation.
- Thorough understanding of the machine learning lifecycle, including feature engineering, model development, deployment, and management.
- Strong understanding of AI/MLOps and technologies for deploying and monitoring models and agents.
- Experience with at least one public cloud platform: AWS, Azure, or GCP.
- Experience with at least one AI/ML platform such as AWS SageMaker, Databricks, GCP Vertex AI, Azure ML, Dataiku, or DataRobot.
- Hands-on scripting experience with SQL and at least one of Python, Java, or Scala.
- Experience with libraries such as Pandas, PyTorch, TensorFlow, Scikit-learn, LangChain, LangGraph, or LlamaIndex.
- University degree in data science, computer science, engineering, mathematics, or a related field, or equivalent experience.
- Experience with Databricks or Apache Spark is a bonus.
- Experience implementing data pipelines using ETL tools, enterprise software success, and vertical expertise are bonus qualifications.
Tech Stack
Apache SparkAWSAzureDatabricksGoogle Cloud PlatformJavaPandasPythonPyTorchScalascikit-learnSnowflakeSQLTensorFlow
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.