remote
Principal Technical Architect - AI/ML - Snowflake
Solutions Architect
Lead the design and delivery of AI/ML solutions on Snowflake, driving innovation in data architecture, model deployment, and cloud infrastructure to enable agentic enterprise capabilities.
About the role
Key Responsibilities
- Architect end‑to‑end AI/ML pipelines on Snowflake, integrating data ingestion, feature engineering, model training, and serving.
- Collaborate with data scientists, product managers, and engineering teams to translate business problems into scalable, cloud‑native solutions.
- Define and enforce best practices for model governance, reproducibility, and performance monitoring across multi‑tenant environments.
- Lead technical evaluations of emerging AI/ML frameworks, cloud services, and tooling to continuously improve the platform.
- Mentor and coach cross‑functional teams, fostering a culture of experimentation and rapid iteration.
Requirements
- 10+ years of experience in data engineering, cloud architecture, and AI/ML solution design.
- Proficiency in Python, SQL, and Snowflake’s data platform, with hands‑on experience deploying models to production.
- Deep knowledge of AWS services (SageMaker, Lambda, Glue, Redshift) and container orchestration (ECS/EKS).
- Strong understanding of MLOps principles, model versioning, and automated testing pipelines.
- Excellent communication skills and a proven track record of leading technical initiatives in fast‑moving environments.
Skills
pythonsnowflakeawsmachine learning