Applied AI Solutions Architect — Production WorkSpaces

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

Benefits offered by this job

Health insurance

Paid time off

RSU eligibility

Job summary

Amazon Web Services (AWS) seeks a hands-on Solutions Architect for the Agentic WorkSpaces program in Arlington, VA. You will pair-program with customer engineers, build integrations, and move AI workspace deployments from proof-of-concept to production in weeks.

You will select foundation models via Bedrock, design prompts and tool integrations, and ensure data readiness for AI agents. You will drive secure, scalable architectures within Desktop Infrastructure, and travel up to 25–40% to

Qualifications

• 5+ years in software, cloud computing, or related tech domains.
• 3+ years designing or consulting on apps and infrastructures.
• Experience building AI products at scale and deploying them.
• Familiarity with MCP and A2A for multi-agent integrations.
• Experience with Bedrock or equivalent foundation models.
• Understanding of VDI/DaaS architecture and operations.

Responsibilities

• Lead technical discovery to translate requirements into deployment plans.
• Design and configure agentic AI solutions within Agentic WorkSpaces.
• Build serverless integrations using AWS services and scripting.
• Architect secure access to cloud data systems for AI agents.
• Deploy WorkSpaces components and guide production rollouts.
• Create reusable patterns and contribute to the team knowledge base.
• Provide customer feedback to inform product roadmaps.

Skills

Software development

Cloud computing

Systems engineering

Infrastructure

Security

Networking

Data & analytics

Tools

Amazon Bedrock

AWS Lambda

API Gateway

Step Functions

Knowledge Bases

DynamoDB

RDS

S3

MCP (Model Context Protocol)

Job description

Amazon Web Services (AWS) seeks a hands-on Solutions Architect for the Agentic WorkSpaces program in Arlington, VA. You will pair-program with customer engineers, build integrations, and move AI workspace deployments from proof-of-concept to production in weeks.

You will select foundation models via Bedrock, design prompts and tool integrations, and ensure data readiness for AI agents. You will drive secure, scalable architectures within Desktop Infrastructure, and travel up to 25–40% to