Negotiable
Outside
Remote
USA
Summary: The Cloud Solution Architect role focuses on designing and deploying AI/ML solutions using Amazon Bedrock, with a specific emphasis on integrating SAP with Snowflake. The position requires expertise in building autonomous AI systems and collaborating with cross-functional teams to enhance business processes through AI and automation. The role is remote and classified as outside IR35.
Key Responsibilities:
- 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.
Key Skills:
- Experience with Amazon Bedrock and AI/ML solutions.
- Proficiency in integrating SAP with Snowflake.
- Knowledge of ETL processes.
- Ability to build and operationalize autonomous AI systems.
- Strong collaboration and communication skills.
- Experience in defining AI strategy and solution architecture.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Cloud Solution Architect w bedrock Integration Exp Philadelphia, PA - Remote
Bedrock integrating SAP & snowflake, Who have done Agentic AI use cases, AWS Bedrock
- 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.