Amazon Web Services, Inc.

Cloud Computing

SeniorAppliedAISolutionsArchitect

$154–208k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Applied AI Solutions Architect at Amazon Web Services, Inc.. Skills: Applied AI, Amazon Connect, Solutions Architecture, Customer data readiness. Accelerate customer adoption of Amazon Connect AI capabilities. Prepare Amazon Connect implementations for production”

What You'll Achieve.

Achieve production-ready outcomes in weeks; Ensure AI agents reliably access information; Ensure AI agents reliably retrieve information; Ensure AI agents reliably act on information; Validate AI agent performance

Industry & Context.

Cloud Computing
Problems you'll solve

Root cause analysis; Troubleshooting; Data-driven decision making

Eligibility Requirements

Up to 25-40% travel

What They're Looking For.

Must Have

5+ years experience, 5+ years experience with AWS, 5+ years experience with Amazon Connect, 5+ years experience with AI/ML, 5+ years experience with contact center AI

Nice to Have

Experience with AWS AI services, Experience with Amazon Bedrock, Experience with MCP servers, Experience with A2A communication patterns, Experience with RAG

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

Assess customer data assets

Prepare customer data assets

Structure customer data assets

Establish data pipelines

Ensure knowledge bases are AI-ready

Ensure CRMs are AI-ready

Ensure backend systems 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 implementation plans

Conduct data readiness assessments

Evaluate data quality

Evaluate data accessibility

Evaluate data structure

Evaluate data governance

Recommend remediation strategies

Build data foundation for AI agents

Design and configure agentic AI solutions

Configure AI prompt engineering

Configure model selection

Configure tool integration

Design and deploy MCP servers

Expose customer tools

Expose customer data sources

Enable AI agents to discover tools

Enable AI agents to invoke tools

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

Power AI agent tool use

Guide customers through testing

Guide customers through evaluation

Guide customers through validation

Create reusable artifacts

Provide feedback to product teams

Contribute to product roadmap prioritization

How You'll Work.

Team & Collaboration

Customer teams; Customer engineering teams; Service team collaboration; Product teams

Communication Scope

Technical discovery; Implementation plans

Full Job Description

Application deadline: May 3, 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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