3 weeks ago

Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions

Amazon Web Services (AWS)

Sydney

3 weeks ago

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AWS is seeking a Senior Applied AI Solutions Architect to accelerate adoption of Amazon Connect's AI capabilities. This hands-on role involves embedding with customers to prepare their Amazon Connect implementations for production, focusing on model selection, prompt engineering, and tooling. The role requires 5+ years of experience with CCaaS and contact center integrations.

AI-enabledOn-siteFull-timeSeniorAmazon ConnectAWS

Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions

Apply

AI-enabledOn-siteFull-timeSeniorAmazon Connect

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

On-site

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Amazon ConnectAWSAmazon BedrockContact Center as a Service (CCaaS)CRMWFMWebRTCSIPLambdaAPI GatewayStep FunctionsPythonNode.jsDynamoDBRDSS3OpenSearchKendraKnowledge Bases for BedrockModel Context Protocol (MCP)Agent-to-Agent (A2A) communicationREST APIsServerless

Soft Skills

Customer-obsessedHands-onCommunicationCollaborationProblem-solving

Preferred Qualifications

Technical (Nice-to-have)

Business strategy shapingPresenting to C-level executivesWhiteboarding

Key Responsibilities

•Lead technical discovery sessions to understand customer business requirements, contact center architecture, and AI readiness.
•Conduct data readiness assessments across customer systems to identify gaps and establish data foundation for AI agent tool use.
•Design and configure agentic AI solutions within Amazon Connect, including multi-agent orchestration, prompt engineering, model selection, guardrails, and tool integration.
•Deploy Model Context Protocol (MCP) servers to expose customer tools, data sources, and APIs for dynamic AI agent discovery.
•Architect agent-to-agent communication patterns enabling multi-agent workflows across enterprise boundaries.
•Build serverless integrations (Lambda, API Gateway, Step Functions, Python/Node.js) connecting AI agents with customer data systems.
•Leverage agentic development environments to accelerate spec-driven development and AI-assisted code generation.
•Guide customers through AI agent testing, evaluation, and validation prior to production deployment.
•Create reusable artifacts (reference architectures, implementation guides, prompt libraries, data readiness checklists).

AISolutions ArchitectAmazon ConnectAWSContact CenterAgentic AIServerlessPythonNode.jsSenior

Core Qualifications

Technical (Must-have)

Soft Skills

Customer-obsessedHands-onCommunicationCollaborationProblem-solving

Key Responsibilities

•Lead technical discovery sessions to understand customer business requirements, contact center architecture, and AI readiness.

•Conduct data readiness assessments across customer systems to identify gaps and establish data foundation for AI agent tool use.

•Design and configure agentic AI solutions within Amazon Connect, including multi-agent orchestration, prompt engineering, model selection, guardrails, and tool integration.

•Deploy Model Context Protocol (MCP) servers to expose customer tools, data sources, and APIs for dynamic AI agent discovery.

•Architect agent-to-agent communication patterns enabling multi-agent workflows across enterprise boundaries.

•Build serverless integrations (Lambda, API Gateway, Step Functions, Python/Node.js) connecting AI agents with customer data systems.

•Leverage agentic development environments to accelerate spec-driven development and AI-assisted code generation.

•Guide customers through AI agent testing, evaluation, and validation prior to production deployment.

•Create reusable artifacts (reference architectures, implementation guides, prompt libraries, data readiness checklists).