Senior Solutions Architect — Agentic WorkSpaces AI - Seattle is a AI Solutions Architect role (full-time). with Amazon Web Services, Inc. in SEATTLE, US. Compensation shown: $154K–$208K. Imported listing (source: educativ.net). Apply on the employer's site (educativ.net).
Imported listing (source: educativ.net) · Apply on educativ.net
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Imported job description
Sourced from educativ.net
Amazon Web Services (AWS) is seeking a Senior Solutions Architect for its Agentic WorkSpaces AI team. This hands-on, forward deployed role helps customers design and build production-ready agentic AI solutions on Amazon WorkSpaces. You'll work at the intersection of end-user computing and applied AI, covering model selection via Bedrock, prompt configuration, tool integration with MCP/A2A, and customer data readiness.
Responsibilities
Lead technical discovery sessions to understand business requirements and AI readiness
Design and configure agentic AI solutions, including agent creation, prompt engineering, and tool/action integration
Build serverless integrations using AWS Lambda, API Gateway, Step Functions, Python, and Node.js
Architect secure access patterns to data systems (DynamoDB, RDS, S3, Knowledge Bases for Bedrock) for agent tool use and RAG
Implement MCP servers and A2A workflows for multi-agent orchestration
Deploy and validate Amazon WorkSpaces environments as the delivery platform for agentic AI
Create reusable artifacts (reference architectures, prompt libraries, data readiness checklists) and share Voice-of-Customer feedback
Requirements
7+ years in software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics
Amazon Web Services, Inc. (AWS), an Amazon company, provides a broad cloud and AI infrastructure platform for startups, enterprises, governments, and nonprofits. Its services are designed to help organizations modernize operations, innovate, secure data, and scale applications globally.