3 days ago

Sr Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services

Amazon Web Services (AWS)

Sydney

3 days ago

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AWS Professional Services is seeking a Senior Agentic AI Full Stack Software Development Engineer in Sydney to lead the design and delivery of end-to-end applications powered by Generative AI and autonomous agents. The role requires deep software engineering, cloud architecture, and GenAI expertise, with 10+ years of full-stack development and 6+ years of cloud architecture experience. You will set technical direction, architect agentic systems, and mentor engineers while working directly with customer teams.

Core AIOn-siteFull-timeSeniorCloud ArchitectureSolution Implementation

Sr Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services

Apply

Core AIOn-siteFull-timeSeniorCloud Architecture

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

On-site

Experience Required

10 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Cloud architectureSolution implementationFull-stack developmentReactNext.jsAngularVueAPIsMicroservicesTypeScriptJavaScriptPythonJavaKotlin.NETGenerative AILarge Language ModelsRAGAI-assisted development tools

Soft Skills

Technical leadershipMentoringInfluenceDecision-making under ambiguityCuriosityCollaboration

Preferred Qualifications

Technical (Nice-to-have)

Agentic AIAI agent architecturesOrchestration patternsMCPA2AVector databasesGraph databasesEmbedding pipelinesPrompt engineeringRESTGraphQLgRPCOpenID ConnectOAuth 2.0DockerAmazon ECSKubernetesDistributed systemsEvent-driven architectures

Key Responsibilities

•Own Complex Technical Delivery: Take end-to-end ownership of the largest and most ambiguous problems in an engagement. Define the architecture, break down the work across teams, and deliver cloud-native solutions on AWS that modernize applications and build resilient, distributed, event-driven systems.
•Set Technical Direction: Lead architectural decisions across multiple workstreams and teams. Establish engineering standards, patterns, and guardrails that others build on, and make deliberate tradeoffs across performance, cost, security, and time-to-value.
•Architect GenAI Solutions: Lead the design of production applications powered by generative AI, including RAG pipelines, LLM-backed features, and conversational interfaces on services like Amazon Bedrock. Set the approach for prompt engineering, grounding, evaluation, and guardrails to deliver accurate, secure, and cost-effective outcomes at scale.
•Lead Agentic Systems Design: Architect AI agent and multi-agent systems using emerging protocols (e.g., MCP, A2A) and orchestration frameworks. Drive the reference patterns and reusable components that let teams build autonomous workflows reliably.
•Champion the Agentic Way: Set the standard for AI-assisted engineering. Introduce and scale AI-powered coding assistants and agentic IDEs across teams to accelerate coding, testing, code review, and delivery without compromising quality.
•Own Quality and Operational Excellence: Be accountable for the operational health of what your teams ship. Drive testing strategy, security, observability, and production readiness, and hold the bar on maintainable, well-tested code.
•Grow Engineers and Influence Stakeholders: Mentor and grow engineers, including senior engineers, through code reviews, design reviews, and hands-on guidance. Influence senior customer and partner stakeholders on engineering strategy, and leave every team more capable than you found it.

AWSAgentic AIFull StackGenerative AICloud ArchitectureSoftware DevelopmentConsultingSeniorSydneyProfessional Services

Core Qualifications

Technical (Must-have)

Soft Skills

Technical leadershipMentoringInfluenceDecision-making under ambiguityCuriosityCollaboration

Key Responsibilities

•Own Complex Technical Delivery: Take end-to-end ownership of the largest and most ambiguous problems in an engagement. Define the architecture, break down the work across teams, and deliver cloud-native solutions on AWS that modernize applications and build resilient, distributed, event-driven systems.

•Set Technical Direction: Lead architectural decisions across multiple workstreams and teams. Establish engineering standards, patterns, and guardrails that others build on, and make deliberate tradeoffs across performance, cost, security, and time-to-value.

•Architect GenAI Solutions: Lead the design of production applications powered by generative AI, including RAG pipelines, LLM-backed features, and conversational interfaces on services like Amazon Bedrock. Set the approach for prompt engineering, grounding, evaluation, and guardrails to deliver accurate, secure, and cost-effective outcomes at scale.

•Lead Agentic Systems Design: Architect AI agent and multi-agent systems using emerging protocols (e.g., MCP, A2A) and orchestration frameworks. Drive the reference patterns and reusable components that let teams build autonomous workflows reliably.

•Champion the Agentic Way: Set the standard for AI-assisted engineering. Introduce and scale AI-powered coding assistants and agentic IDEs across teams to accelerate coding, testing, code review, and delivery without compromising quality.

•Own Quality and Operational Excellence: Be accountable for the operational health of what your teams ship. Drive testing strategy, security, observability, and production readiness, and hold the bar on maintainable, well-tested code.

•Grow Engineers and Influence Stakeholders: Mentor and grow engineers, including senior engineers, through code reviews, design reviews, and hands-on guidance. Influence senior customer and partner stakeholders on engineering strategy, and leave every team more capable than you found it.