Principal Solutions Architect - AI/ML, Services Delivery
Principal Solutions Architect who designs and delivers Snowflake-centric AI/ML solutions, builds customer proof-of-concepts, and guides production deployments. Requires 5+ years in customer-facing technical roles, cloud and AI/ML platform expertise, and hands-on SQL plus programming experience.
About the job
Responsibilities
- Serve as a technical expert on Snowflake for AI/ML workloads and advise customers on best practices.
- Discover customer AI/ML requirements and architect Snowflake-centric solutions for Services Delivery.
- Design, build, and deploy AI/ML pipelines using Snowflake features and its ecosystem.
- Develop hands-on proof-of-concepts with SQL, Python, and Cortex AI features.
- Enable customers through knowledge transfer and guidance on technical challenges.
- Maintain expertise in competitive and complementary AI/ML technologies and vendors.
- Mentor Services Delivery team members and collaborate with Product Management, Engineering, and Marketing.
Requirements
- 5+ years in a customer-facing pre-sales or post-sales technical role.
- Strong presentation skills for technical and executive audiences.
- Knowledge of generative AI and agent lifecycles, including document ingestion, vector embeddings, LLM selection and optimization, monitoring, and evaluation.
- Understanding of the complete machine learning lifecycle, including feature engineering, model development, deployment, and management.
- Strong AI/MLOps knowledge and experience deploying and monitoring models and agents.
- Experience with AWS, Azure, or Google Cloud.
- Experience with an AI/ML platform such as Amazon SageMaker, Databricks, Vertex AI, Azure ML, Dataiku, or DataRobot.
- Hands-on SQL and at least one of Python, Java, or Scala.
- Experience with Pandas, PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, or LlamaIndex.
- University degree in data science, computer science, engineering, mathematics, or a related field, or equivalent experience.
Nice to Have
- Databricks or Apache Spark experience.
- Experience implementing data pipelines with ETL tools.
- Success with enterprise software.
- Expertise in a core vertical such as financial services, retail, or manufacturing.
Compensation
- Annual salary range: $196,000-$257,200.
Skills
Snowflake, Artificial Intelligence, Machine Learning, Ai/Mlops, AWS, Azure, GCP, Amazon Sagemaker, Databricks, SQL, Python, PyTorch, TensorFlow, LangChain, Spark
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