Amazon Web Services, Inc.
Technology
Sr.AppliedAISolutionsArchitect,AmazonConnect
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“Sr. Applied AI Solutions Architect, Amazon Connect at Amazon Web Services, Inc.. Skills: Applied AI, Amazon Connect, AI Agents, Data Readiness. Lead technical discovery sessions. Understand business requirements”
What You'll Achieve.
Accelerate customer adoption; Achieve full potential; Turn AWS ideas into businesses; Deliver exceptional results; Ensure AI-ready systems; Move from proof-of-concept to pre-production; Strengthen product roadmap; Meet success criteria
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
Customer Data Readiness assessment, Data readiness assessments, AI agent creation, AI prompt engineering, Model selection, Guardrail configuration, Tool/action integration, Agent-to-Agent communication patterns, Serverless integrations, AWS Lambda, API Gateway, Step Functions, Scripting, Python, Node.js, Cloud-based data systems access, Agentic IDE proficiency, Kiro, AI-assisted code generation, Pre-production validation, AI agent performance testing, Field enablement, Technical deep-dives, Mentoring other SAs
Nice to Have
Experience with Genesys, Experience with Avaya, Experience with Cisco, Experience with NICE, Experience with Five9, Hands-on experience with Amazon Bedrock, Model invocation, Knowledge base configuration, Guardrails
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 agentic AI solutions
Architect Agent-to-Agent communication
Allow AI agents to collaborate
Enable multi-agent workflows
Build serverless integrations
Connect AI agents with data systems
Architect secure access patterns
Power AI agent tool use
Leverage agentic development environments
Accelerate development workflows
Guide customers through testing
Evaluate AI agent performance
Validate AI agent performance
Deliver technical deep-dives
How You'll Work.
Team & Collaboration
Customer teams; Product teams; AWS Specialist & Partner org; ASP org; Specialist teams; Partner teams; Other SAs
Communication Scope
Technical deep-dives
Full Job Description
Application deadline: Jun 12, 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. Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the technical background, customer experience, and skills necessary to help accelerate customer adoption of Amazon Connect's AI capabilities? Do you love building new strategic and data-driven businesses? Join the Applied AI Solutions team as an Amazon Connect Specialist Solutions Architect! The Applied AI Solutions Architecture team is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. Applied AI Solutions is part of the AWS Specialist & Partner (ASP) org, which works backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. 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 landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live. You will work at the intersection of contact center operations and applied AI, helping customers move from pr
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