Snowflake12 дней назад

Principal Solutions Architect - AI/ML, Services Delivery

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РЫНОК

16 250 ₽медиана по профессии

Data Scientist · 212 вакансий с указанной зарплатой

5 000половина предложений: 13 084–21 768120 000

Работодатель не указал зарплату — сравните с рынком сами.

Полная занятостьUS-NY-New York

Обязанности

01Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack
02Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery
03Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements
04Work hands-on where needed using SQL, Python, and Cortex AI features to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the AI/ML workload
05Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
06Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them
07Provide guidance on how to resolve customer-specific technical challenges
08Support other members of the Services Delivery team develop their expertise
09Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing

01Minimum 5 years experience working with customers in a pre-sales or post-sales technical role
02Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
03Thorough understanding of the common generative AI and agent lifecycles including document ingestion, vector embedding selection, llm selection and optimization, genAI monitoring and evaluation techniques
04Thorough understanding of the complete ML life-cycle including feature engineering, model development, model deployment and model management
05Strong understanding of AI/MLOps, coupled with technologies and methodologies for deploying and monitoring models and agents
06Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
07Experience with at least one AI/ML platform such as AWS Sagemaker, Databricks, GCP and Vertex AI, AzureML, Dataiku, Datarobot, etc
08Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala
09Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn, LangChain/LangGraph, LlamaIndex or similar
10University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience

01For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com