Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions
Core
Hands-on Solutions Architect embedded with customers to accelerate production-ready deployment of Amazon Connect's agentic AI capabilities, focusing on model selection, prompt engineering, and tooling.
Role type
Senior Applied AI Solutions Architect (Contact Center AI)
Builds
Production-ready agentic AI solutions for contact center operations using Amazon Connect, Bedrock, and serverless integrations.
Domain
Cloud Computing / Contact Center as a Service (CCaaS) / Applied AI
Deliverable
production ML models | product features | infrastructure
Required skills
Contact Center as a Service (CCaaS) implementation, WebRTC/SIP protocols, API integration, serverless architecture (Lambda, API Gateway, Step Functions), Python/Node.js, DynamoDB/RDS/S3/OpenSearch/Kendra, MCP (Model Context Protocol) configuration, A2A (Agent-to-Agent) patterns, data readiness assessment, RAG implementation.
Preferred skills
C-level executive presentation, business strategy shaping for large enterprises, technical whiteboarding.
Technologies
Amazon Connect, Amazon Bedrock, Amazon Kiro, MCP servers, Lambda, API Gateway, Step Functions, DynamoDB, RDS, S3, OpenSearch, Kendra, WebRTC, SIP.
Responsibilities
Lead technical discovery sessions to translate business requirements into solution designs; Conduct data readiness assessments across customer systems (CRMs, knowledge bases) to establish foundations for AI agents; Design and configure agentic AI solutions including multi-agent orchestration, prompt engineering, and guardrails; Deploy Model Context Protocol (MCP) servers for standardized tool discovery; Architect agent-to-agent communication patterns for multi-agent workflows; 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.
Seniority
Senior, hands-on IC