Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions
Core
Embedded Solutions Architect guiding customers to production-ready agentic AI implementations for Amazon Connect, focusing on model selection, prompt engineering, and tooling.
Role type
Senior hands-on IC Solutions Architect (Applied AI)
Builds
Agentic AI solutions, MCP servers, agent-to-agent communication patterns, and serverless integrations for contact center operations.
Domain
Cloud infrastructure + Contact Center as a Service (CCaaS) + Applied AI
Deliverable
production ML models
Required skills
Contact Center as a Service (CCaaS) implementation, WebRTC/SIP protocols, API integration, Lambda/Serverless development, Python/Node.js, DynamoDB/RDS/S3/OpenSearch/Kendra, Model Context Protocol (MCP), Agent-to-Agent (A2A) orchestration, Prompt Engineering, Foundation Model selection (Amazon Bedrock), Data readiness assessment, RAG architecture.
Preferred skills
C-level executive presentation, Business strategy shaping for large enterprises, Technical whiteboarding.
Responsibilities
Lead technical discovery sessions for contact center architecture and AI readiness; Conduct data readiness assessments for CRMs and knowledge bases; Design and configure agentic AI solutions including multi-agent orchestration and guardrails; Deploy MCP servers for standardized tool discovery; Architect agent-to-agent communication patterns; Build serverless integrations connecting AI agents with customer data systems; Guide customers through AI agent testing and validation; Create reusable artifacts like reference architectures and prompt libraries.