Agentic AI Solutions Architect - Production WorkSpaces

Socket.dev; Miami (FL); Hybrid; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services is seeking an Applied AI Solutions Architect to be embedded with customers, accelerating adoption of agentic AI capabilities on WorkSpaces. You will co-build AI solutions, design prompts, and configure tool integrations, while navigating production environments and delivering production-ready architectures.

You will travel up to 25–40% for on-site engagements. This deeply technical role emphasizes hands-on coding, serverless integrations, and collaboration with customer

Qualifications

• 7+ years in technology domains (software, cloud, infrastructure, security, networking, data & analytics).
• 3+ years design/implementation in applications and infrastructures.
• Experience with Python, Node.js, Ruby, C#, or C++.
• Hands-on with agentic AI patterns — multi-agent orchestration, tool use, function calling, and RAG.
• Familiarity with MCP and A2A interoperability for agent tools.
• Experience with Amazon Bedrock or similar foundation models.
• Understanding of VDI/DaaS architecture, networking, identity, and operations.

Responsibilities

• Lead technical discovery sessions with customer teams to understand requirements and translate into actionable plans.
• Design and configure agentic AI solutions within Agentic WorkSpaces including prompt engineering and tool integrations.
• Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js).
• Architect secure access patterns to cloud data systems (DynamoDB, RDS, S3, knowledge bases) for AI agents and RAG.
• Help customers deploy WorkSpaces Personal, Pools, and WorkSpaces Applications for agentic AI experiences.
• Guide customers through testing, evaluation, and validation of AI agent performance before production.
• Create reusable artifacts (reference architectures, implementation guides, sample code, prompt libraries, data readiness checklists).
• Provide feedback to the Agentic WorkSpaces Service Team for product roadmap input.

Skills

Python

Node.js

Agentic AI patterns

Model Context Protocol (MCP)

Agent-to-Agent (A2A)

Bedrock foundation models

VDI / DaaS knowledge

Cloud migrations & modernization

End user / developer communities

Education

AWS Solutions Architect certification (Associate/Professional)

Tools

MCP (Model Context Protocol)

A2A (Agent-to-Agent)

Job description

Amazon Web Services is seeking an Applied AI Solutions Architect to be embedded with customers, accelerating adoption of agentic AI capabilities on WorkSpaces. You will co-build AI solutions, design prompts, and configure tool integrations, while navigating production environments and delivering production-ready architectures.

You will travel up to 25–40% for on-site engagements. This deeply technical role emphasizes hands-on coding, serverless integrations, and collaboration with customer