SlipstreamJobsFresh Startup & VC-Backed Jobs

Principal Solutions Architect - AI/ML, Services Delivery

Snowflake - New York, NY, United States - In-office - posted 2026-08-25

Apply on the company site

SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.

Snowflake is seeking a Principal Solutions Architect to join its Services Delivery team, helping enterprise customers build and deploy AI/ML pipelines on the Snowflake Data Cloud. In this strategic technical role, you will be a subject-matter expert on Snowflake's AI/ML capabilities, working directly with customers to understand their use cases, architect tailored solutions, and ensure successful production deployments. Key responsibilities include: - Serving as the technical authority on Snowflake's AI/ML features and best practices, advising customers on scaling production workloads - Collaborating with customer teams and Systems Integrators to design and oversee implementation of AI/ML solutions - Building proof-of-concepts using SQL, Python, and Snowflake's Cortex AI features to demonstrate implementation techniques - Providing hands-on technical guidance to resolve customer-specific challenges - Mentoring other Solutions Architects and Services Delivery team members - Maintaining deep knowledge of competitive AI/ML platforms and positioning Snowflake accordingly - Partnering with Product, Engineering, and Marketing to improve Snowflake's offerings Required qualifications: - Minimum 5 years in pre-sales or post-sales technical customer-facing roles - Deep expertise in generative AI and agent lifecycles (document ingestion, vector embeddings, LLM selection, monitoring) - Comprehensive understanding of the complete ML lifecycle (feature engineering, model development, deployment, management) - Strong knowledge of AI/MLOps, deployment methodologies, and model monitoring - Experience with at least one major cloud platform (AWS, Azure, GCP) - Hands-on experience with AI/ML platforms (SageMaker, Databricks, Vertex AI, AzureML, etc.) - Proficiency in SQL and at least one programming language (Python, Java, Scala) - Familiarity with ML libraries (Pandas, PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex) - Bachelor's degree in data science, computer science, engineering, mathematics, or equivalent experience - Excellent presentation skills for both technical and executive audiences Bonus experience includes Databricks/Spark, ETL tools, enterprise software, and vertical expertise in FSI, Retail, or Manufacturing.

Similar roles