Delivery Consultant

Overview

Delivery Consultant - AI Developer, AWS Professional Services

Job ID: 3101354 | Amazon Web Services Australia Pty Ltd

AWS Global 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.

This role combines deep expertise in AI/ML, multi-agent frameworks, and full-stack development to deliver transformative business value through AWS/'s advanced AI capabilities.

Core Focus Areas

- Agentic AI Implementation & Architecture: Design and implement multi-agent AI systems using AWS services; Architect GenAI and Agentic AI solutions using AWS Bedrock, Amazon Q, or open source tools; Lead complex AI transformation projects focusing on agentic systems; Develop frameworks for AI performance optimization and business value measurement; Implement AI governance and safety practices; Design and operationalise evaluation frameworks to measure effectiveness, scalability and robustness of Multi agent applications; Design and implement agent identity and provenance frameworks to ensure trust, accountability and compliance in GenAI multi agent systems.
- Multi-Agent Protocols & Frameworks: Design solutions using MCP, ACP, A2A, ANP, and AG-UI protocols; Implement agent discovery, authentication, and coordination mechanisms; Develop multi-agent systems using LangChain, AutoGen, MetaGPT, and LangGraph; Create secure agent-to-agent communication infrastructures; Design real-time context sharing and state management systems.
- Full Stack Development: Build end-to-end agentic AI applications using modern frameworks; Develop frontend interfaces for AI agent interaction (React/Angular/Vue.js); Implement backend services for AI orchestration (Python/Node.js/Java); Design and Implement GenUI based interfaces to produce and render dynamic interactive experiences; Design microservices architectures for scalable AI deployments; Create event-driven architectures using AWS services.

Key job responsibilities

- Expertise - Design and develop cloud-native solutions using AWS services, including hands-on software development, architecture design, and implementation of best practices in modern development methodologies
- Solutions - Provide solution implementations including software development, CI/CD pipelines, infrastructure as code, and DevOps practices while collaborating with customers to understand requirements and create technical solutions
- Delivery - Build and implement distributed computing solutions using AWS services, involving hands-on coding, testing, and deployment across cloud environments. This includes developing new applications, modernizing existing ones, and innovating on behalf of customers.
- Technical Leadership - Guide customer and partner teams in software engineering practices, code reviews, architectural decisions, and implementation of AWS services while ensuring solution quality and security best practices
- Innovation - Develop innovative solutions using AWS AI/ML services, including building AI-enabled applications, implementing Agent architectures, and creating reusable components that demonstrate innovative use of AWS services

A day in the life
AWS Professional Services (ProServe) is a global team of consultants that helps enterprise customers achieve their business outcomes on AWS Cloud. ProServe consultants work with hundreds of the world’s largest enterprises to help them deliver their cloud initiatives.

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 — that’s 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

- 7+ years of IT implementation experience
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Experience and technical expertise (design and implementation) in cloud computing technologies
- 5+ years of practical machine learning experience
- 5+ years of full stack development experience

Preferred Qualifications

- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent
- Experience implementing AWS services
- 4+ years of external or internal customer facing, complex and large scale project management experience, or AWS Professional level certification
- Hands on experience leading large-scale global data analytics projects aligned with business use cases.
- Experience in Data Quality management: Processes to measure and manage data quality, enforce data controls, and provide data assurance.

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.

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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