Overview
As an Amazon Connect Specialist Solutions Architect, you enable customers to adopt Amazon Connect’s AI capabilities at scale. You’ll ensure customer data readiness and design multi-agent AI interactions across enterprise systems. You address data gaps, build integrations, and guide pre-production validation to deliver production-ready AI-powered contact center experiences. You’ll collaborate across teams to shape the AI roadmap and share practical patterns with peers.
Responsibilities
- Lead technical discovery sessions to capture business requirements and AI readiness, translating findings into implementation plans
- Perform data readiness assessments to evaluate data assets, identify gaps, and propose remediation for AI use and RAG-powered responses
- Design and configure agentic AI solutions within Amazon Connect, including prompt engineering, model selection, guardrails, and tool integration
- Architect Agent-to-Agent (A2A) workflows enabling collaboration across enterprise agents (e.g., billing, order management, IT support)
- Develop serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect AI agents to data systems
- Architect secure cloud data access patterns powering AI tools and retrieval-augmented generation
- Leverage agentic IDEs like Kiro to accelerate development, including spec-driven development and AI-assisted code generation
- Guide customers through pre-production validation to meet defined success criteria
- Share learnings through field enablement, technical deep-dives, and mentoring of other Solutions Architects
Key requirements
- Experience in design, implementation, or consulting across applications and infrastructures
- Experience communicating with technical and non-technical audiences, including executives
- AWS certification (e.g., AWS Solutions Architect) or equivalent cloud certification
- Knowledge of data structures, data modeling, and database schemas
- Experience architecting, migrating, transforming, or modernizing customer requirements to the cloud
- Experience with Amazon Connect or other enterprise contact center platforms
- Hands-on experience with Amazon Bedrock (model invocation, agent creation, knowledge base config, guardrails)
- Customer-obsessed
- Strong cross-functional collaboration
- Executive-level communication
- AWS Lambda
- API Gateway
- Step Functions
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