Delivery Consultant - Agentic AI Full Stack Developer, AWS Professional Services

Are you a builder with a strong software development background who gets excited about designing and delivering end-to-end applications powered by Generative AI? Are you interested in helping the largest Basic qualifications: - Knowledge of primary AWS services (EC2, ELB, RDS, VPC, Route53, S3) with 5+ years of cloud architecture and solution implementation experience on AWS or comparable platforms, including deploying across distributed computing environments. - 5+ years of hands-on development with modern programming languages (e.g., TypeScript, JavaScript, Python, Java, Kotlin, .NET). - Experience with Infrastructure as Code (e.g., AWS CDK, CloudFormation, Terraform), CI/CD pipelines, and DevOps practices. - Experience using AI-assisted development tools as part of the software development workflow. - Proven experience implementing AWS services in a variety of distributed computing environments. Preferred: - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience - Understanding of AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A) with hands-on experience building multi-agent systems and applications that integrate generative AI / LLM capabilities (e.g., RAG, chat interfaces, agent workflows, LLM-powered features). - Experience with agentic software development methodologies — using AI agents to accelerate development workflows including coding, testing, debugging, and code review. - Understanding of 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), 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. 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.