Delivery Consultant - Agentic AI Full Stack Developer, AWS Professional Services
Amazon
- Location
- Onsite (Perth, Western Australia · Sydney, New South Wales · Melbourne, Victoria)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 weeks ago
About the Role
Join AWS Professional Services as a Delivery Consultant to architect and deliver end-to-end cloud-native Generative AI solutions for major customers in Australia and New Zealand. This role combines hands-on full-stack development with technical leadership to build innovative, scalable AI-powered applications.
Skills
AWS
Generative AI
Full-stack development
Python
TypeScript
Java
Cloud architecture
Infrastructure as code
CI/CD
AI agent orchestration
Distributed systems
Microservices
Containerization
API design
Consulting
Technical leadership
Full job details
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 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 Delivery Consultant specializing in Agentic AI Full Stack Development. In this role, you will leverage your full-stack software development expertise to architect and deliver cloud-native GenAI solutions for our customers, combining hands-on coding with consulting best practices.
We are seeking a hands-on Senior Consultant with deep software engineering, Generative AI, and cloud architecture expertise to deliver complex technical consulting engagements within AWS Professional Services. The ideal candidate will combine strong technical depth with proven engineering capabilities, having both the software development background to work with complex architectures and code, and the curiosity to invent on behalf of our customers using AWS services. You develop using agentic tools and services - AI-powered coding assistants, agentic IDEs, and AI-driven development workflows are part of how you build every day. You understand how to design and orchestrate AI agents, work with protocols like MCP and A2A, and build autonomous systems using services like Amazon Bedrock. You'll work directly with customers to deliver innovative AWS solutions, applying your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
You'll work directly with customers to deliver innovative AWS solutions, leveraging your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
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.
A day in the life
AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
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. 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 Qualifications: - 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.
We are seeking a hands-on Senior Consultant with deep software engineering, Generative AI, and cloud architecture expertise to deliver complex technical consulting engagements within AWS Professional Services. The ideal candidate will combine strong technical depth with proven engineering capabilities, having both the software development background to work with complex architectures and code, and the curiosity to invent on behalf of our customers using AWS services. You develop using agentic tools and services - AI-powered coding assistants, agentic IDEs, and AI-driven development workflows are part of how you build every day. You understand how to design and orchestrate AI agents, work with protocols like MCP and A2A, and build autonomous systems using services like Amazon Bedrock. You'll work directly with customers to deliver innovative AWS solutions, applying your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
You'll work directly with customers to deliver innovative AWS solutions, leveraging your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
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.
A day in the life
AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
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. 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 Qualifications: - 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.