Senior Applied AI Solutions Architect – Amazon Connect, Applied AI
Core
Design and deliver AI-first solutions on Amazon Connect, building working systems, reference architectures, and live demos to accelerate customer adoption of applied AI.
Role type
Senior Solutions Architect (Applied AI)
Builds
Production-quality Amazon Connect AI agents, reference architectures, live demo environments, and internal assets.
Domain
Cloud Communications & Generative AI
Deliverable
production ML models | product features
Required skills
Prompt engineering, LLM evaluation and tuning, Agent memory and context management, MCP (Model Context Protocol) configuration, A2A (Agent-to-Agent) orchestration, Serverless architecture (Lambda, API Gateway, Step Functions), RAG implementation, AWS Well-Architected Framework application, Python, Node.js
Preferred skills
Experience with Amazon Connect, Amazon Bedrock, AWS Lambda, API Gateway, Step Functions, DynamoDB, RDS, S3, OpenSearch, Kendra, Knowledge Bases
Technologies
Amazon Connect, Amazon Bedrock, AWS Lambda, API Gateway, Step Functions, DynamoDB, RDS, S3, OpenSearch, Kendra, MCP, Python, Node.js
Responsibilities
Design and build Amazon Connect AI agents end-to-end including prompt configuration and memory management. Develop front-end experiences and back-end services integrating agentic AI. Configure MCP servers and architect A2A patterns for multi-agent orchestration. Build serverless integrations and secure data access for RAG. Create reusable reference architectures, playbooks, and sample code. Test and evaluate agent performance against success criteria. Collaborate with product teams to contribute to roadmap prioritization.
Seniority
Senior, hands-on IC