Senior AI Solutions Architect for Connect & Bedrock

Amazon Web Services (AWS)

Atlanta (GA)

On-site

USD 154,000 - 208,000

Full time

14 days+

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Job summary

Amazon Web Services, Inc. is seeking a hands-on Solutions Architect to accelerate customer adoption of Amazon Connect AI capabilities. You will embed with customers to prepare production-ready implementations focused on Agentic AI, MCP server configuration, and cross-agent workflows.

The role emphasizes design, implementation, and customer collaboration, including data readiness and integration development using Lambda, API Gateway, and Step Functions.

Qualifications

  • 7+ years of experience in technology domains incl. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
  • 3+ years of design, implementation, or consulting in applications and infrastructures.
  • Familiarity with MCP and/or A2A for standardized tool integration / multi-agent communication.

Responsibilities

  • Lead technical discovery sessions to understand requirements and contact center architecture.
  • Assess data readiness and governance of customer data assets (CRMs, knowledge bases, ticketing systems, order management).
  • Design and configure agentic AI solutions within Amazon Connect, including model selection and prompt engineering.
  • Design MCP servers to expose tools, data sources, and APIs for standardized agent tool discovery.
  • Architect Agent-to-Agent communication patterns for multi-agent workflows across enterprise.

Skills

Cloud computing
Software development
Systems engineering
Infrastructure
Security
Networking
Data & analytics

Tools

MCP (Model Context Protocol)
A2A (Agent-to-Agent)

Job description

Amazon Web Services, Inc. is seeking a hands-on Solutions Architect to accelerate customer adoption of Amazon Connect AI capabilities. You will embed with customers to prepare production-ready implementations focused on Agentic AI, MCP server configuration, and cross-agent workflows.

The role emphasizes design, implementation, and customer collaboration, including data readiness and integration development using Lambda, API Gateway, and Step Functions.

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