- Company Name
- Snowflake
- Job Title
- Solution Innovation Architect - AI/ML
- Job Description
-
Job Title: Solution Innovation Architect – AI/ML
Role Summary:
Design, develop, and maintain high‑impact AI/ML demonstrations for Snowflake’s Sales Engineering and Product teams. Deliver end‑to‑end demo ecosystems that showcase Snowpark ML, Snowflake Cortex, and Snowpark Container Services, aligning with product releases and sales cycles. Serve as the technical bridge between product development and customer engagement, providing deep expertise on AI/ML lifecycle, MLOps, and Generative AI.
Expectations:
- Create functional demos that illustrate new features within a strict product release timeline.
- Demonstrate mastery of data science lifecycle and MLOps for scalable, production‑ready models.
- Communicate complex AI/ML concepts to technical and executive stakeholders, enhancing sales enablement.
- Produce thought leadership content (webinars, blogs, speaking engagements).
Key Responsibilities:
- Design architecture and build AI/ML demos on the Snowflake platform.
- Collaborate with Product, Sales, and FCTO teams to sync demo development with product roadmaps.
- Apply expertise in Snowflake’s AI/ML stack to support sales engineering efforts.
- Execute data management tasks: quality checks, feature engineering, and dataset preparation.
- Build, train, evaluate, and optimize machine learning models; implement MLOps practices for deployment and monitoring.
- Stay current with AI/ML advances, particularly Generative AI and LLM technologies, and integrate them into demos.
- Lead external thought‑leadership activities (webinars, event presentations, blog posts).
- Maintain security and confidentiality compliance in all data handling.
Required Skills:
- ≥4 years data science experience, with at least 2 production‑deployed models.
- ≥5 years pre‑sales or post‑sales technical engagement.
- Full data science life‑cycle proficiency (feature engineering, model development, deployment, monitoring).
- Expertise in MLOps, model performance optimization, and lifecycle management.
- Python programming; libraries: Pandas, Scikit‑Learn, XGBoost, PyTorch or TensorFlow.
- Strong presentation and storytelling abilities for diverse audiences.
- Proficiency with Snowpark ML, Snowflake Cortex, and Snowpark Container Services.
- Knowledge of Generative AI, LLM architectures, and application scenarios is essential.
Required Education & Certifications:
- University degree in Data Science, Mathematics, Computer Science, or related field, or equivalent experience.
Bonus Qualifications:
- Experience with Generative AI, LLMs, and vector databases.
- Familiarity with Databricks/Apache Spark.
- Experience building ETL pipelines with data‑engineering tools.
- Vertical domain expertise (FSI, retail, manufacturing, etc.).