Amazon Web Services, Inc.
Technology
SeniorAppliedAISA,AppliedAIAccelerationSolutionsArchitecture
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Applied AI SA, Applied AI Acceleration Solutions Architecture at Amazon Web Services, Inc.. Skills: Applied AI, Amazon Connect, Agentic AI, Contact center. Lead technical discovery sessions. Understand business requirements”
What You'll Achieve.
Accelerate customer adoption; Help customers succeed; Turn AWS ideas into businesses; Help customers achieve full potential; Move from proof-of-concept to pre-production; Strengthen product roadmap; Meet defined success criteria
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
5+ years experience building integrations, Experience communicating across technical and non-technical audiences, Experience with complex CCaaS implementations
Nice to Have
Infrastructure architecture experience, Database architecture experience, Networking experience, Presentation skills, Technical consulting engagements, AWS Solution Architecture certification
What You'll Do.
Lead technical discovery sessions
Understand business requirements
Understand existing 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 agentic AI solutions
Configure AI agent creation
Configure AI prompt engineering
Configure model selection
Configure guardrail configuration
Configure tool integration
Architect Agent-to-Agent communication
Integrate specialized agents
Enable multi-agent workflows
Build serverless integrations
Connect AI agents with data systems
Architect secure cloud data access
Leverage agentic development environments
Accelerate development workflows
Guide customers through testing
Validate AI agent performance
Deliver technical deep-dives
How You'll Work.
Team & Collaboration
Work across AWS; Customer teams; Product teams; Partner teams
Communication Scope
Executive presentations
Process & Methodology
Go-to-market plans
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 is part of the AWS Specialist and Partner Organization (ASP). We are the technical bridge between Amazon Connect customers and the service teams building the next generation of AI-powered contact center capabilities. Our team operates at the forefront of agentic AI adoption, helping customers become production-ready with Amazon Connect's AI features. 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. 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! A critical dimension of this role is Customer Data Readiness — assessing, preparing, and structuring customer data assets so that AI agents can r
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