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 senior full-stack engineer who wants to lead the design and delivery of end-to-end applications powered by Generative AI and autonomous agents? Are you interested in shaping how 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 Senior Agentic AI 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 opportunity to own the most complex technical problems across diverse technologies, from modern frontends to cloud-native backends to the latest AI services, and to set the technical direction that shapes customer outcomes.
We are seeking a senior, hands-on Software Development Engineer with deep software engineering, Generative AI, and cloud architecture expertise to lead complex technical engagements within AWS Professional Services. You bring the technical depth to work with the most demanding architectures and code, the judgment to make sound decisions under ambiguity, and the curiosity to invent on behalf of our customers using AWS services. You develop using agentic tools and services, and you set the standard for how teams adopt AI-powered coding assistants, agentic IDEs, and AI-driven development workflows. You design and orchestrate AI agents, work with the latest protocols and frameworks, and architect autonomous systems using services like Amazon Bedrock. You work directly with customer engineering and leadership teams to deliver innovative AWS solutions, driving successful outcomes while raising the bar for quality, security, and engineering excellence.
Key job 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.
A day in the life As a Senior Agentic AI Full Stack SDE, you operate as a technical leader within customer delivery teams, owning the problems that carry the most ambiguity and impact. A typical day moves between shaping architecture and technical strategy, making decisions that unblock multiple teams, and staying hands-on in the code across frontend, backend, and generative AI and agentic capabilities on AWS. You set the direction for how teams adopt AI-powered development tools and agentic workflows to deliver faster while holding a high quality bar.
You lead design and code reviews, establish the engineering standards teams build on, and mentor engineers at all levels to raise their capabilities. You partner with architects, product stakeholders, and customer leadership to align on strategy, remove technical risk early, and keep complex engagements moving toward measurable outcomes. Your focus is consistent: delivering secure, production-ready software and durable technical patterns that create lasting value well beyond the current engagement.
About the team
Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, and that is why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- 6+ years of cloud architecture and solution implementation experience
- 10+ years of professional software development experience building full-stack applications, hands-on across frontend (e.g., React, Next.js, Angular, Vue) and backend (e.g., APIs, microservices, data layers) using modern languages (e.g., TypeScript, JavaScript, Python, Java, Kotlin, .NET)
- Experience leading the design and delivery of large-scale or technically ambiguous software initiatives across multiple teams or workstreams
- Experience building applications that integrate generative AI or large language model capabilities (e.g., RAG, chat interfaces, agent workflows, or LLM-powered features)
- Experience using AI-assisted development tools as part of the software development workflow Experience with Infrastructure as Code (e.g., AWS CDK, CloudFormation, Terraform), CI/CD pipelines, and DevOps practices
Preferred Qualifications
- Experience leading agentic AI initiatives end-to-end, from architecture through production, including AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A)
- Experience defining engineering standards, reference architectures, or reusable IP adopted across teams or customers
- 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 containerization and orchestration (e.g., Docker, Amazon ECS, Kubernetes)
- Experience with distributed systems, event-driven architectures, and microservices patterns at scale
Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.