BEDROCK Integration with Agentic AI
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Solution Architect with expertise in SAP and Snowflake integration, focusing on AI/ML solutions using Amazon Bedrock. Requires skills in ETL, data architecture, and Agentic AI use cases. Remote position based in Philadelphia, contract length and pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Cloud #Snowflake #ML (Machine Learning) #AI (Artificial Intelligence) #Data Extraction #Data Architecture #Scala #"ETL (Extract #Transform #Load)" #SAP #Strategy #Automation
Role description
Solid hands-on with bedrock integrating SAP & snowflake, Who have done Agentic AI use cases
Cloud Solution Architect
Philadelphia, Pennsylvania remote
Design, develop, and deploy AI/ML solutions using Amazon Bedrock, leveraging foundation models from Anthropic, Meta, Amazon Titan, and others.
Lead the integration of SAP with Snowflake, including data extraction, transformation, and loading (ETL) pipelines.
Build and operationalize Agentic AI systems – autonomous AI agents capable of reasoning, planning, and decision-making across complex workflows.
Collaborate with cross-functional teams to identify high-impact use cases for AI and automation in business processes.
Optimize and maintain scalable, secure, and reliable AI-driven data architectures.
Work with stakeholders to define AI strategy, solution architecture, and implementation roadmap
Solid hands-on with bedrock integrating SAP & snowflake, Who have done Agentic AI use cases
Cloud Solution Architect
Philadelphia, Pennsylvania remote
Design, develop, and deploy AI/ML solutions using Amazon Bedrock, leveraging foundation models from Anthropic, Meta, Amazon Titan, and others.
Lead the integration of SAP with Snowflake, including data extraction, transformation, and loading (ETL) pipelines.
Build and operationalize Agentic AI systems – autonomous AI agents capable of reasoning, planning, and decision-making across complex workflows.
Collaborate with cross-functional teams to identify high-impact use cases for AI and automation in business processes.
Optimize and maintain scalable, secure, and reliable AI-driven data architectures.
Work with stakeholders to define AI strategy, solution architecture, and implementation roadmap
