Senior AI Solutions Architect – Agentic WorkSpaces (Embedded)

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

Job summary

Amazon Web Services, Inc. in the United States is seeking an Applied AI Solutions Architect to embed with customers and accelerate production deployments of Agentic WorkSpaces AI.

You will write code, build integrations, configure agents, and pair-program with customer teams to move prototypes to scalable, production-ready environments. You will navigate engineering environments, design prompts and model strategies, and help customers adopt ready-to-run AI workloads while aligning with security

Qualifications

• 7+ years in software, cloud, systems engineering, or related tech domains.
• 3+ years in design, implementation or consulting for applications and infrastructures.
• Experience with Python, Node.js, C#, C++, or similar languages.
• Hands-on experience with agentic AI patterns and multi-agent orchestration.

Responsibilities

• Lead technical discovery sessions to translate business requirements into deployment plans.
• Design and configure agentic AI solutions within Agentic WorkSpaces.
• Build serverless integrations using AWS Lambda, API Gateway, and Step Functions.
• Architect secure access patterns to cloud data systems for AI agents.
• Collaborate with customers to deploy WorkSpaces as the delivery platform for AI experiences.
• Guide testing, evaluation, and production readiness of AI agent deployments.

Skills

Python

Node.js

C++

C#

Go/other scripting

MCP (Model Context Protocol)

A2A (Agent-to-Agent) workflows

Retrieval-Augmented Generation (RAG)

Amazon Bedrock

VDI/DaaS understanding

Tools

Python

Node.js

Amazon Bedrock

MCP Server

AWS Lambda

API Gateway

Step Functions

Knowledge Bases

RAG pipelines

WorkSpaces / AppStream

Job description

Amazon Web Services, Inc. in the United States is seeking an Applied AI Solutions Architect to embed with customers and accelerate production deployments of Agentic WorkSpaces AI.

You will write code, build integrations, configure agents, and pair-program with customer teams to move prototypes to scalable, production-ready environments. You will navigate engineering environments, design prompts and model strategies, and help customers adopt ready-to-run AI workloads while aligning with security