Amazon Web Services, Inc.

Solutions Architect, Solution Architect, Cloud Computing

Sr.AppliedAISolutionsArchitect-PublicSector,AmazonConnect

$154–208k Arlington, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Applied AI Solutions Architect - Public Sector, Amazon Connect at Amazon Web Services, Inc.. Skills: Applied AI, Amazon Connect, Agentic AI, Data readiness. Lead technical discovery sessions. Understand business requirements”

Industry & Context.

Solutions Architect, Solution Architect, Cloud Computing
Eligibility Requirements

25-40% travel

What They're Looking For.

Must Have

6+ years design, implementation, or consulting experience, Experience with Amazon Connect or other enterprise contact center platforms, Hands-on experience with Amazon Bedrock

Nice to Have

5+ years infrastructure architecture, database architecture and networking experience, Experience with agentic AI patterns, Hands-on experience building and deploying MCP servers, Experience designing A2A architectures, Proficiency with agentic IDEs

What You'll Do.

Lead technical discovery sessions

Understand business requirements

Understand contact center architecture

Understand AI readiness

Translate findings into plans

Conduct data readiness assessments

Evaluate data quality

Evaluate data accessibility

Evaluate data structure

Evaluate data governance

Recommend remediation strategies

Build data foundation

Design agentic AI solutions

Configure AI agent creation

Configure AI prompt engineering

Configure model selection

Configure guardrail configuration

Configure tool integration

Expose customer tools

Enable AI agents to discover tools

Enable AI agents to invoke tools

Architect Agent-to-Agent communication

Enable AI agents to collaborate

Build serverless integrations

Connect AI agents with data systems

Architect secure data access

Power AI agent tool use

Power retrieval-augmented generation

Guide customers through testing

Evaluate AI agent performance

Validate AI agent performance

Create reusable artifacts

Provide feedback to product teams

How You'll Work.

Team & Collaboration

Customer teams; Customer engineering teams; Service teams; Partner ecosystem

Full Job Description

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. 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 systems. A critical dimension of this role is Customer Data Readiness — assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data land

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