Senior Solutions Architect – AI/ML, Services Delivery

🕒 Julho 2

🌲 North Carolina – Remoto

🌲 North Carolina – Remote

💵 $160.000 - $210.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 17%

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Snowflake

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2012

💼 Consultoria

📣 Marketing

Consulting • Marketing • Cloud Computing

A Snowflake é uma empresa de data warehousing em nuvem que oferece uma plataforma inovadora para armazenamento, processamento e analytics de dados. Ela permite que as organizações lidem com grandes volumes de dados de forma eficiente, facilitando insights e Business Intelligence. A arquitetura da Snowflake suporta diversas cargas de trabalho de dados, tornando-a uma solução versátil para empresas que buscam alavancar seus dados na tomada de decisões estratégicas.

Descrição

• Be 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. • Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery. • Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements. • Work 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. • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them • Provide guidance on how to resolve customer-specific technical challenges. • Support other members of the Services Delivery team develop their expertise. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

🎯 Requisitos

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

🏖️ Benefícios

• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties.