1 week ago

Senior Solutions Architect — Agentic WorkSpaces AI

Amazon Web Services (AWS)

Melbourne

1 week ago

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This role is part of the AWS Specialist and Partner Organization, seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of agentic AI capabilities built on Amazon WorkSpaces. The role involves working at the intersection of end-user computing and applied AI, helping customers move from proof-of-concept to production for their Agentic WorkSpaces deployments. The position requires deep technical expertise, including writing code, building integrations, configuring agents, and pair-programming with customer engineering teams.

AI-enabledRemoteFull-timeSeniorAmazon BedrockMCP

Senior Solutions Architect — Agentic WorkSpaces AI

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AI-enabledRemoteFull-timeSeniorAmazon Bedrock

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Remote

Experience Required

7 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Amazon BedrockMCPA2AAWS LambdaAPI GatewayStep FunctionsPythonNode.jsAmazon DynamoDBAmazon RDSAmazon S3Knowledge Bases for BedrockAmazon WorkSpacesRAGVDIDaaS

Soft Skills

customer-obsessedhands-oncommunicationcollaborationproblem-solvingadaptability

Preferred Qualifications

Technical (Nice-to-have)

Amazon WorkSpacesAppStream 2.0CitrixVMware HorizonOmnissa HorizonAWS 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 WorkSpacesAWSAICloud ComputingVDIDaaSMCPA2A

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.