Amazon Web Services, Inc.
Technology
SeniorAppliedAISolutionsArchitect—AmazonConnect,AppliedAISA-AIVT
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“Senior Applied AI Solutions Architect — Amazon Connect, Applied AI SA - AIVT at Amazon Web Services, Inc.. Skills: Applied AI, Amazon Connect, Agentic AI, Solutions Architecture. Accelerate customer adoption of Amazon Connect AI capabilities. Prepare Amazon Connect implementations for production”
What You'll Achieve.
Achieve production-ready outcomes in weeks
Industry & Context.
Root cause analysis; Troubleshooting
25-40% travel
What They're Looking For.
Must Have
5+ years experience, 5+ years experience with AWS, 5+ years experience with AI/ML, 5+ years experience with contact center solutions
Nice to Have
Experience with Amazon Connect, Experience with Amazon Bedrock, Experience with MCP servers, Experience with A2A communication patterns
What You'll Do.
Accelerate customer adoption of Amazon Connect AI capabilities
Prepare Amazon Connect implementations for production
Guide customers evaluating foundation models
Architect and build tool integrations
Configure MCP servers
Enable A2A communication patterns
structure customer data assets
Help customers evaluate data landscape
Establish data pipelines
Ensure knowledge bases are AI-ready
Help customers move from proof-of-concept to pre-production
Pair-program with customer teams
Lead technical discovery sessions
Understand business requirements
Understand contact center architecture
Understand AI readiness
Translate findings into actionable plans
Conduct data readiness assessments
structure of customer data
Recommend remediation strategies
Build data foundation for AI agent tool use
Design and configure agentic AI solutions
Integrate tools and actions
Design and deploy MCP servers
Expose customer tools
Enable AI agents to discover capabilities
Enable AI agents to invoke capabilities
Architect Agent-to-Agent communication patterns
Allow AI agents to collaborate
Enable multi-agent workflows
Build serverless integrations
Connect AI agents with customer data systems
Architect secure access patterns to cloud data systems
How You'll Work.
Team & Collaboration
Customer teams; Customer engineering teams
Full Job Description
Application deadline: Jun 4, 2026 This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. The Applied AI Solutions Architecture team within AWS is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. This role is part of the AI Velocity Team — a service-specific approach that assigns dedicated advisory and hands-on development resources directly to customers to achieve production-ready outcomes in weeks instead of months. As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI: Model Selection — Guiding customers through evaluating and selecting the right foundation models (via Amazon Bedrock) for their contact center use cases, balancing latency, accuracy, cost, and compliance requirements. Prompt Configuration — Designing, testing, and optimizing AI prompts and system instructions for Amazon Connect AI agents, including self-service agents, answer recommendation agents, and custom orchestrator agents. Tool Configuration — Architecting and building the tool integrations (APIs, Lambda functions, data connectors, knowledge bases) that agentic AI systems use to take actions on behalf of customers and agents — including configuring MCP (Model Context Protocol) servers for standardized tool discovery and invocation, and enabling A2A (Agent-to-Agent) communication patterns for multi-agent orchestration across enterprise sy
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