Hands-On AI Solutions Architect – WorkSpaces

Amazon Web Services (AWS); Arlington (VA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a hands-on Solutions Architect for Agentic WorkSpaces to accelerate customer adoption of AI capabilities built on AWS. You will pair-program with customer developers, design prompt strategies, and validate AI agent performance across enterprise environments.

You will operate at the intersection of end-user computing and applied AI, co‑building AI solutions with customer teams and ensuring production-readiness of WorkSpaces deployments at scale.

Qualifications

• 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• 3+ years of design, implementation, or consulting in applications and infrastructures experience.
• Experience developing, deploying and managing AI products at scale
• Familiarity with MCP (Model Context Protocol) for standardized tool integration and/or A2A (Agent-to-Agent) for multi-agent communication.
• Experience with Amazon Bedrock or equivalent foundation model platforms, including model invocation and knowledge base configuration.
• Understanding of Virtual Desktop Infrastructure (VDI) and Desktop-as-a-Service (DaaS) technology — architecture, networking, identity, and operations.

Responsibilities

• Lead technical discovery sessions with customer teams to understand requirements and translate findings into actionable implementation plans for production deployment.
• Design and configure agentic AI solutions within Agentic WorkSpaces, including AI agent creation, prompt engineering, and tool integration.
• Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js).
• Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation.
• Deploy Amazon WorkSpaces Personal, Pools and WorkSpaces Applications as the delivery platform for agentic AI experiences.
• Guide customers through testing, evaluation, and validation of AI agent performance against success criteria before production deployment.
• Create reusable artifacts (reference architectures, implementation guides, sample code, prompt libraries) to scale best practices across teams.
• Provide Voice-of-Customer feedback to product teams to influence roadmap and improvements.

Skills

AI products at scale

MCP (Model Context Protocol)

A2A (Agent-to-Agent)

Amazon Bedrock

VDI/DaaS

WorkSpaces/Desktop Infra

Tools

AWS Lambda

API Gateway

Step Functions

Python

Node.js

Job description

Amazon Web Services, Inc. is seeking a hands-on Solutions Architect for Agentic WorkSpaces to accelerate customer adoption of AI capabilities built on AWS. You will pair-program with customer developers, design prompt strategies, and validate AI agent performance across enterprise environments.

You will operate at the intersection of end-user computing and applied AI, co‑building AI solutions with customer teams and ensuring production-readiness of WorkSpaces deployments at scale.