Senior AI Solutions Architect, Applied AI for Connect

Amazon Web Services (AWS); Chicago (IL); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services, Inc. in Chicago is seeking an experienced Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities.

You will lead end-to-end go-to-market strategy for applied AI solutions, focusing on data readiness, AI agent integration, and cross-team collaboration. The role involves architecting data pipelines, designing agent-to-agent workflows, and delivering prescriptive guidance for production readiness.

Qualifications

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• 3+ years of design, implementation, or consulting in applications and infrastructures experience.
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience.

Responsibilities

• Lead technical discovery sessions with customer teams to understand business requirements, existing contact center architecture, and AI readiness.
• Conduct data readiness assessments to evaluate the quality, accessibility, structure, and governance of customer data assets.
• Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration.
• Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise.
• Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data systems.
• Architect secure access patterns to cloud-based data systems to power AI agent tool use and retrieval-augmented generation (RAG).
• Leverage agentic development environments such as Kiro to accelerate development workflows, including spec-driven development, agent hooks, MCP server configuration, and AI-assisted code generation.
• Guide customers through testing, evaluation, and validation of AI agent performance before production deployment.
• Share learnings, delivering technical deep-dives, and mentoring other SAs on agentic AI implementation patterns.

Skills

Software development

Cloud computing

Systems engineering

Networking

Data & analytics

Amazon Connect

Tools

Amazon Connect

Job description

Amazon Web Services, Inc. in Chicago is seeking an experienced Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities.

You will lead end-to-end go-to-market strategy for applied AI solutions, focusing on data readiness, AI agent integration, and cross-team collaboration. The role involves architecting data pipelines, designing agent-to-agent workflows, and delivering prescriptive guidance for production readiness.