Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services

Job ID: | Amazon Web Services Australia Pty Ltd

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer‑first approach helps us build the world's most adopted cloud.

We are seeking a hands‑on Software Development Engineer with deep software engineering, generative AI, and cloud architecture expertise to deliver complex technical engagements within AWS Professional Services. The ideal candidate combines robust technical depth with proven engineering capabilities: background in software development to work with complex architectures and code, and curiosity to invent on behalf of our customers using AWS services. You will develop using agentic tools and services, AI‑powered coding assistants, agentic IDEs, and AI‑driven development workflows. You will design, orchestrate AI agents, work with latest protocols and frameworks, and build autonomous systems using services like Amazon Bedrock. You will work directly with customers to deliver innovative AWS solutions, applying technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.

Key Job Responsibilities

- Work hands‑on with customer engineering teams to translate business requirements into working software.
- Architect and ship cloud‑native solutions on AWS, modernise existing applications, and build distributed, event‑driven systems.
- 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.
- 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, cost‑effective outcomes.
- 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.
- Use AI‑powered coding assistants and agentic IDEs as part of your daily workflow, championing these methodologies to accelerate coding, testing, code review, and delivery for your team and customers.
- Take ownership of the solutions you ship; write secure, maintainable code and ensure applications meet performance, security, and operational standards.
- Guide customer and partner teams on engineering practices and architectural decisions. Conduct code reviews, mentor developers, and raise the technical bar.

A Day in the Life

As an embedded member of delivery teams, you contribute hands‑on across the full software lifecycle. Typical activities include collaborative design sessions to translate business requirements into technical architecture, focused development of frontend interfaces, backend services, generative AI and agentic capabilities on AWS,



and extensive use of AI‑powered development tools.

Beyond writing code, you contribute to code reviews, share engineering best practices, and mentor customer and partner engineers. You partner closely with architects, product stakeholders, and delivery leads to remove technical blockers and keep engagements moving toward measurable outcomes. Your priorities shift with the needs of each engagement, but the constant is a focus on delivering secure, well‑tested, production‑ready software that creates lasting value for customers.

Preferred Qualifications

- Hands‑on experience building multi‑agent systems, including AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A).
- Experience with RAG patterns, vector and graph databases, embedding pipelines, and prompt engineering techniques.
- Experience with agentic software development methodologies, using AI agents to accelerate coding, testing, debugging, and code review.
- Background in API design and implementation (REST, GraphQL, gRPC) and identity protocols (OpenID Connect, OAuth 2.0).
- Hands‑on experience with containerisation and orchestration (e.g., Docker, Amazon ECS, Kubernetes).
- Experience with distributed systems, event‑driven architectures, and microservices patterns at scale.
- Familiarity with observability and monitoring practices (e.g., OpenTelemetry), focusing on operational excellence.

Amazon acknowledges the Traditional Custodians of country throughout Australia and pays their respect to all Aboriginal and Torres Strait Islander peoples.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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📌 Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services (Melbourne)
🏢 Amazon
📍 Melbourne