Senior Solutions Architect — Agentic WorkSpaces AI
Core
Hands-on Solutions Architect embedded with customers to accelerate production deployment of agentic AI capabilities on Amazon WorkSpaces, focusing on model selection, prompt configuration, and tool integration.
Role type
Senior Solutions Architect (Applied AI / VDI)
Builds
Production-ready agentic AI solutions on virtualized desktop environments (VDI/DaaS)
Domain
Cloud Infrastructure (AWS) + Applied AI (Agentic Workflows)
Deliverable
production ML models | product features
Required skills
Software development, Cloud computing, Systems engineering, AI system evaluation, MCP (Model Context Protocol), A2A (Agent-to-Agent), Amazon Bedrock, Serverless architecture, Prompt engineering, Data readiness assessment
Preferred skills
Experience with VDI/DaaS architectures, Python/Node.js scripting, RAG implementation
Technologies
Amazon WorkSpaces, Amazon Bedrock, AWS Lambda, API Gateway, Step Functions, DynamoDB, RDS, S3, MCP servers
Responsibilities
Lead technical discovery sessions to understand business requirements and AI readiness; Design and configure agentic AI solutions including agent creation and tool integration; Build serverless integrations using AWS Lambda and scripting; Architect secure access patterns for cloud data systems to power AI agents; Deploy and validate Amazon WorkSpaces architectures for production; Create reusable artifacts like reference architectures and prompt libraries; Provide Voice-of-Customer feedback to the service team.
Seniority
Senior, hands-on IC
