Amazon Web Services, Inc.
Solutions Architect, Solution Architect, Cloud Computing
SeniorAppliedAISolutionsArchitect
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“Senior Applied AI Solutions Architect at Amazon Web Services, Inc.. Skills: Applied AI, Amazon Connect, Agentic AI, Foundation models. Accelerate customer adoption. Prepare implementations for production”
What You'll Achieve.
Achieve production-ready outcomes; Move from proof-of-concept to pre-production
Industry & Context.
Troubleshooting AI agents
Up to 25-40% travel
What They're Looking For.
Must Have
5+ years experience, AWS Specialist experience
Nice to Have
Amazon Connect experience, Amazon Bedrock experience
What You'll Do.
Accelerate customer adoption
Prepare implementations for production
Guide model selection
Architect tool integrations
Build tool integrations
Configure MCP servers
Enable A2A communication
Assess customer data assets
Prepare customer data assets
Structure customer data assets
Build data foundation
Design agentic AI solutions
Configure agentic AI solutions
Create reusable artifacts
Provide feedback to product teams
How You'll Work.
Team & Collaboration
Customer teams; Customer engineering teams; Service teams; Partner ecosystem
Communication Scope
Technical discovery sessions
Full Job Description
Application deadline: May 9, 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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