Amazon Web Services Australia Pty Ltd
Technology
SeniorAppliedAISolutionsArchitect,AmazonConnect,AWSAppliedAISolutions
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optimal for Senior candidates.
“Senior Applied AI Solutions Architect, Amazon Connect, AWS Applied AI Solutions at Amazon Web Services Australia Pty Ltd. Skills: Applied AI, Solutions Architecture, Amazon Connect, Agentic AI. Lead technical discovery sessions. Understand customer requirements”
What You'll Achieve.
Achieve production-ready outcomes; Move from proof-of-concept to pre-production
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
AWS certification, Associate's degree or above, Knowledge of presentations and whiteboarding skills, History of successful technical consulting or architecture engagements
What You'll Do.
Lead technical discovery sessions
Understand customer requirements
Translate requirements into designs
Conduct data readiness assessments
Recommend data remediation
Establish data foundation
Design agentic AI solutions
Configure agentic AI solutions
Architect agent-to-agent communication
Build serverless integrations
Leverage agentic development environments
Guide customers through AI agent testing
Create reusable artifacts
How You'll Work.
Team & Collaboration
Pair-program with customer teams; Work with engineering teams
Communication Scope
Executive presentations; Whiteboarding
Full Job Description
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 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 Engineering: 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. Tooling: 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. This included 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 key 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 proof-of-concept to pre-production for their Amazon
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