Drimva

Amazon

Senior Applied AI Solutions Architect — Amazon Connect, Applied AI SA - AIVT

$154K–$239K

Seattle, WA +8 · Senior · Full-time · Posted Jul 7, 2026

Location
Seattle, WA
Arlington, VA
Atlanta, GA
New York, NY
Denver, CO
Herndon, VA
Chicago, IL
Mountain View, CA
San Francisco, CA
Experience
7+ years in technology domains and 3+ years in application and infrastructure design, implementation, or consulting.

About the job

Helps customers move Amazon Connect AI deployments from proof of concept to pre-production by building and validating agentic AI solutions, integrations, and data foundations.

What you'll do

  • Assess customer requirements and data readiness, then develop implementation plans for production-ready AI agents.
  • Design and configure agents, prompts, models, guardrails, MCP servers, A2A workflows, and integrations with customer systems.
  • Build and test serverless integrations, validate agent performance, and create reusable implementation guidance.

What they ask for

  • 7+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
  • 3+ years of experience in design, implementation, or consulting for applications and infrastructures.
  • Familiarity with interoperability protocols such as MCP and/or A2A.

Nice to have

  • Hands-on Amazon Bedrock experience, including model invocation, agent creation, knowledge base configuration, and guardrails.
  • Experience with agentic AI patterns or building and deploying MCP servers.

Pay

176,600.00 - 239,000.00 USD annually (base salary); 153,600.00 - 207,800.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary)

Tools

Amazon Connect, Amazon Bedrock, MCP (Model Context Protocol), A2A (Agent-to-Agent), AWS Lambda, API Gateway, Step Functions, Python

AI focus

Implements agentic AI for Amazon Connect, including foundation-model selection, prompt engineering, tool integration, MCP and A2A workflows, customer data readiness, and RAG-powered responses.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)