Solutions Architect

Snowflake Snowflake · Data AI · Israel, IL · Remote · Professional Services

Solutions Architect role focused on designing, implementing, and advising on AI/ML solutions and MLOps practices on the Snowflake platform. The role involves customer engagement, technical leadership, and driving adoption of Snowflake's AI product suite, with a strong emphasis on generative AI and LLM use cases.

What you'd actually do

  1. Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform, ensuring scalability and performance
  2. Provide customers with standard practices and advice related to AI/ML workloads in Snowflake
  3. Define and advise on MLOps (Machine Learning Operations) standard practices for model deployment, monitoring, and governance within the customer’s Snowflake environment
  4. Drive the adoption of Snowflake’s AI product suite (e.g., Cortex, Streamlit in Snowflake, Snowflake Intelligence) within customer solutions
  5. Experience replatforming AI/ML workloads to Snowflake in line with business and operational requirements

Skills

Required

  • 3 years of technical consulting experience
  • Experience in a lead role for analytics projects for large enterprises
  • Experience implementing and operating Snowflake centric solutions
  • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
  • Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring
  • Familiarity with AI/ML and Transformation technologies
  • Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale
  • Proven experience with developing generative AI and LLM use cases
  • Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions
  • Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
  • Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
  • Familiarity with prompt engineering techniques

Nice to have

  • Hands-on experience or significant familiarity with building and managing AI/ML workloads
  • Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer
  • Experience in the services organization of a product company
  • Experience in a leadership position executing technical projects
  • Application Development experience
  • AWS, Google or Microsoft Cloud certification(s)
  • Snowflake Snowpro Advanced Certification(s)

What the JD emphasized

  • AI/ML Solutions & ML Ops
  • Deep understanding of the complete AI/ML lifecycle
  • Proven experience with developing generative AI and LLM use cases
  • Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale

Other signals

  • design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform
  • Define and advise on MLOps standard practices for model deployment, monitoring, and governance
  • Drive the adoption of Snowflake’s AI product suite
  • Deep understanding of the complete AI/ML lifecycle
  • Proven experience with developing generative AI and LLM use cases