1 week ago

Senior Solutions Architect — Agentic WorkSpaces AI

Amazon Web Services (AWS)

Sydney

1 week ago

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This role is part of the AWS Specialist and Partner Organization, focusing on accelerating customer adoption of agentic AI capabilities built on Amazon WorkSpaces. As an Applied AI Solutions Architect, you will be embedded with customers to prepare their Agentic WorkSpaces implementations for production, covering model selection, prompt configuration, tool configuration, and customer data readiness. The role requires deep technical expertise in VDI/DaaS, AI systems, and hands-on development, with travel up to 25-40%.

AI-enabledRemoteFull-timeSeniorAmazon BedrockMCP (Model Context Protocol)

Senior Solutions Architect — Agentic WorkSpaces AI

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AI-enabledRemoteFull-timeSeniorAmazon Bedrock

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Remote

Experience Required

7 years

Employment Type

Full-time

Experience Level

Senior (7+ years in technology domain, 3+ years in design/implementation/consulting)

Core Qualifications

Technical (Must-have)

Amazon BedrockMCP (Model Context Protocol)A2A (Agent-to-Agent)AWS LambdaAPI GatewayStep FunctionsPythonNode.jsAmazon DynamoDBAmazon RDSAmazon S3Knowledge Bases for BedrockRAG (Retrieval-Augmented Generation)Amazon WorkSpacesVDIDaaS

Soft Skills

Customer-obsessedHands-onCollaborativeCuriosityCommunication

Preferred Qualifications

Technical (Nice-to-have)

Amazon WorkSpacesAppStream 2.0CitrixVMware/Omnissa HorizonVector databasesAWS Solutions Architect certificationAI Practitioner Certification

Key Responsibilities

•Lead technical discovery sessions with customer teams to understand business requirements, existing desktop infrastructure, and AI readiness.
•Design and configure agentic AI solutions within Agentic WorkSpaces, including AI agent creation, prompt engineering, and tool/action integration.
•Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js).
•Architect secure access patterns to cloud-based data systems (e.g., Amazon DynamoDB, Amazon RDS, Amazon S3, Knowledge Bases for Bedrock) to power AI agent tool use and RAG.
•Work with customers to deploy Amazon WorkSpaces Personal, Pools, and Amazon WorkSpaces Applications as the delivery platform for agentic AI experiences.
•Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment.
•Create reusable artifacts — reference architectures, implementation guides, sample code, prompt libraries, data readiness checklists — that scale best practices across the SA community and partner ecosystem.
•Provide Voice-of-Customer feedback to the Agentic WorkSpaces Service Team based on real-world customer implementations, contributing to product roadmap prioritization.

Solutions ArchitectAgentic AIAmazon WorkSpacesAWSVDIDaaSMCPA2ARAGSenior

Core Qualifications

Technical (Must-have)

Soft Skills

Customer-obsessedHands-onCollaborativeCuriosityCommunication

Key Responsibilities

•Lead technical discovery sessions with customer teams to understand business requirements, existing desktop infrastructure, and AI readiness.

•Design and configure agentic AI solutions within Agentic WorkSpaces, including AI agent creation, prompt engineering, and tool/action integration.

•Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js).

•Architect secure access patterns to cloud-based data systems (e.g., Amazon DynamoDB, Amazon RDS, Amazon S3, Knowledge Bases for Bedrock) to power AI agent tool use and RAG.

•Work with customers to deploy Amazon WorkSpaces Personal, Pools, and Amazon WorkSpaces Applications as the delivery platform for agentic AI experiences.

•Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before production deployment.

•Create reusable artifacts — reference architectures, implementation guides, sample code, prompt libraries, data readiness checklists — that scale best practices across the SA community and partner ecosystem.

•Provide Voice-of-Customer feedback to the Agentic WorkSpaces Service Team based on real-world customer implementations, contributing to product roadmap prioritization.