1 day ago

Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services

Amazon Web Services (AWS)

Sydney

1 day ago

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AWS Professional Services is seeking a hands-on Full Stack Software Development Engineer with deep software engineering, Generative AI, and cloud architecture expertise to deliver complex technical engagements. The role involves building end-to-end applications powered by Generative AI, designing agentic systems, and working directly with customers to implement innovative AWS solutions.

AI-enabledRemoteFull-timeSeniorReactNext.js

Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services

Apply

AI-enabledRemoteFull-timeSeniorReact

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Remote

Experience Required

8 years

Employment Type

Full-time

Experience Level

Senior (8+ years professional software development, 5+ years cloud architecture)

Core Qualifications

Technical (Must-have)

ReactNext.jsAngularVueTypeScriptJavaScriptPythonJavaKotlin.NETAWSAmazon BedrockGenerative AIRAGLLMInfrastructure as CodeAWS CDKCloudFormationTerraformCI/CDDevOps

Soft Skills

CuriosityMentoringCollaborationCommunicationProblem-solvingAdaptabilityLeadership

Preferred Qualifications

Technical (Nice-to-have)

MCPA2AGraph databasesVector databasesEmbedding pipelinesPrompt engineeringREST APIsGraphQLgRPCOpenID ConnectOAuth 2.0DockerAmazon ECSKubernetesDistributed systemsEvent-driven architecturesMicroservicesOpenTelemetryCloudWatchDatadog

Key Responsibilities

•Deliver software with customers: work hands-on alongside customer engineering teams to translate business requirements into working software.
•Architect and ship cloud-native solutions on AWS, modernize existing applications, and build distributed, event-driven systems.
•Build full-stack applications: develop responsive frontend interfaces (e.g., React, Next.js, Vue) and scalable backend services (e.g., Python, TypeScript, Java) end-to-end, deploying on AWS with Infrastructure as Code and CI/CD pipelines.
•Engineer GenAI solutions: build applications powered by generative AI, including RAG pipelines, LLM-backed features, and conversational interfaces on services like Amazon Bedrock.
•Apply prompt engineering, grounding, evaluation, and guardrail techniques to deliver accurate, secure, and cost-effective outcomes.
•Design agentic systems: design and implement AI agent architectures and multi-agent systems using emerging protocols (e.g., MCP, A2A) and orchestration frameworks to automate meaningful customer workflows.
•Build the agentic way: use AI-powered coding assistants and agentic IDEs as part of your daily workflow, and champion these methodologies to accelerate coding, testing, code review, and delivery for your team and your customers.
•Own quality and operational excellence: take ownership of the solutions you ship. Write tested, secure, maintainable code, and ensure applications meet performance, security, and operational standards.
•Raise the technical bar: guide customer and partner teams on engineering practices and architectural decisions. Conduct code reviews, mentor developers, and leave teams more capable than you found them.

Full StackSoftware Development EngineerGenerative AIAgentic AIAWSProfessional ServicesCloud ArchitectureSydneyRemoteSenior

Key Responsibilities

•Deliver software with customers: work hands-on alongside customer engineering teams to translate business requirements into working software.

•Architect and ship cloud-native solutions on AWS, modernize existing applications, and build distributed, event-driven systems.

•Build full-stack applications: develop responsive frontend interfaces (e.g., React, Next.js, Vue) and scalable backend services (e.g., Python, TypeScript, Java) end-to-end, deploying on AWS with Infrastructure as Code and CI/CD pipelines.

•Engineer GenAI solutions: build applications powered by generative AI, including RAG pipelines, LLM-backed features, and conversational interfaces on services like Amazon Bedrock.

•Apply prompt engineering, grounding, evaluation, and guardrail techniques to deliver accurate, secure, and cost-effective outcomes.

•Design agentic systems: design and implement AI agent architectures and multi-agent systems using emerging protocols (e.g., MCP, A2A) and orchestration frameworks to automate meaningful customer workflows.

•Build the agentic way: use AI-powered coding assistants and agentic IDEs as part of your daily workflow, and champion these methodologies to accelerate coding, testing, code review, and delivery for your team and your customers.

•Own quality and operational excellence: take ownership of the solutions you ship. Write tested, secure, maintainable code, and ensure applications meet performance, security, and operational standards.

•Raise the technical bar: guide customer and partner teams on engineering practices and architectural decisions. Conduct code reviews, mentor developers, and leave teams more capable than you found them.