Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services

Sr Delivery Consultant: GenAI 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 is how we built the world's most adopted cloud. Join us and help us grow.

Are you a full-stack software engineer who gets excited about building end-to-end applications powered by Generative AI? Are you interested in helping the largest and most innovative companies in Australia and New Zealand build their next generation of digital products? Come join Amazon Web Services (AWS) Professional Services as a GenAI Full Stack Software Development Engineer. AWS Professional Services helps millions of businesses in 150+ countries transform their operations and applications using the power of AWS. This is an exciting opportunity to work across diverse technologies - from modern frontends to cloud-native backends to state of the art AI services - with the autonomy to design innovative solutions that directly impact customers.

Key job responsibilities

• Full Stack Development - Design, build, and ship cloud native applications end to end. Develop responsive frontend interfaces (e.g., React, Next.js, Vue) and scalable backend services (e.g., Python, TypeScript, Java), deploying on AWS with infrastructure as code and CI/CD pipelines.
• AI Assisted Software Development - Use AI powered development tools as part of your daily workflow. Champion agentic software development methodologies - leveraging AI to accelerate coding, testing, code review, and delivery.
• Agentic Development - Design and implement AI agent architectures and multi agent systems. Work with emerging protocols (e.g., MCP, A2A) and orchestration frameworks to build autonomous and semi autonomous AI workflows that solve real customer problems.
• Solution Delivery - Work directly with customers to understand requirements, architect solutions, and deliver working software. Build distributed systems, modernize existing applications, and implement best practices across cloud environments.
• Technical Leadership - Guide customer and partner teams on software engineering best practices, software architecture decisions, and code quality. Conduct code reviews, mentor developers, and ensure solutions meet security and operational excellence standards.

Preferred Qualifications

• Experience in Kubernetes, Docker or containers ecosystem, or experience in software development.
• Understanding of AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A) with hands on experience building multi agent systems.
• Experience with agentic software development methodologies - using AI agents to accelerate development workflows including coding, testing, debugging, and code review.
• Understanding of background in API design and implementation (REST, GraphQL, gRPC) and identity protocols (OpenID Connect, OAuth 2.0).
• Experience with distributed systems, event driven architectures, and microservices patterns at scale.
• Familiarity with observability and monitoring practices (e.g., OpenTelemetry, CloudWatch, Datadog) with a focus on operational excellence.
• Experience building applications that integrate generative AI or large language model capabilities (e.g., RAG, chat interfaces, agent workflows, LLM powered features).

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