Snowflake AI/ML Sr Solutions Architect -Cortex

Job Summary (List Format): Snowflake AI/ML Sr Solutions Architect - Cortex Remote • Serve as a technical expert in leveraging Snowflake for AI/ML workloads, guiding customers on best practices for Data Science use cases. • Design, build, and deploy machine learning (ML) pipelines using Snowflake core features and partner ecosystem tools tailored to customer requirements. • Develop proof-of-concept (POC) solutions using SQL and Python to demonstrate Snowflake implementation techniques and data science best practices. • Educate and enable customers on Snowflake’s AI/ML capabilities, ensuring smooth knowledge transfer and self-sufficiency. • Maintain expertise on industry technologies, vendors, and competitive landscape in AI/ML, positioning Snowflake effectively. • Collaborate deeply with System Integrator consultants to ensure successful Snowflake deployments in client environments. • Advise customers on resolving technical challenges specific to their data science and ML workloads. • Support and mentor Professional Services team members in developing technical expertise on Snowflake’s AI/ML capabilities. • Partner with Product Management, Engineering, and Marketing teams to enhance Snowflake’s AI/ML product offerings and market positioning. • Utilize skills in Cortex Analyst, Cortex Search, and Snowflake Intelligence as core technical competencies. Requirements • Bachelor’s degree or higher in Data Science, Computer Science, Engineering, Mathematics, or a related field, or equivalent work experience. • 12-14 years of experience in pre-sales or post-sales technical roles with customers. • Exceptional presentation skills for both technical and executive stakeholders. • Comprehensive understanding of the end-to-end Data Science lifecycle (feature engineering, model development, deployment, and management). • Deep knowledge of MLOps practices and operationalizing AI/ML models. • Experience with at least one public cloud platform (AWS, Azure, GCP) and one data science tool (e.g., Sagemaker, AzureML, Dataiku, Datarobot, H2O, Jupyter). • Proficient in SQL and at least one programming language (Python, Java, or Scala), and familiar with major ML libraries (Pandas, PyTorch, TensorFlow, SciKit-Learn). Bonus Points • Experience with Generative AI, LLMs, and Vector Databases. • Familiarity with Databricks/Apache Spark and ETL pipeline implementation. • Prior experience in a Data Science role and/or enterprise software success. • Vertical industry expertise (e.g., Financial Services, Retail, Manufacturing).