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snowflake sql python sagemaker quicksight📋 Description
- Lead design and sales for Generative AI and Data modernization solutions on AWS.
- Engage C-level executives with AI demos and identify Lakehouse needs.
- Architect portfolios: Generative AI (Bedrock, Q, QuickSight) and Lakehouse on AWS.
- Act as trusted advisor; tie AI vision to data modernization with ROI.
- Stay current on AI models and modern data architectures.
- Mentor Solution Architects and guide delivery across AI and data domains.
🎯 Requirements
- Dual AI/ML and data modernization expertise.
- Bedrock, Q, LLMs, and RAG experience.
- Lakehouse architectures on AWS with Databricks or Snowflake.
- 15+ yrs enterprise solution architecture; 8+ yrs cloud; 5+ yrs leadership in AI/data.
- Presales/sales engineering experience with exec engagements.
- Proficiency in Python, SQL, Spark; LangChain and vector DBs.
🎁 Benefits
- Hybrid schedule if near an office (2 days in, 3 days remote).
- 100% remote option if no office nearby.
- Travel up to 25% to customer sites and AWS events.
- Not sponsorship eligible; must be legally allowed to work in the US.
- Compensation may include annual bonus, equity, ESPP.
- Benefits at Rackspace; see benefits page.
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