Associate Delivery Consultant Ai/ml jobs at Amazon in Australia, Melbourne

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 systemsFull 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 servicesKey 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 servicesA day in the life
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.
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

- 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

- 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.

Key job responsibilities
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.

- 4+ years of SQL experience
- 7+ years of business intelligence and analytics experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

Key job responsibilities
- Accurately understand the customer's business challenges and needs, structure the problems, and organise them as business requirements.
- Extract the IT requirements necessary to realise the business requirements and select candidate AI/ML services and algorithms. In addition, you will work with specialist roles in related technical fields to build and verify ML solutions, as wellas help develop an architecture that combines the necessary AWS services for achieving the customer's goals.
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.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

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs2. Providing technical guidance and troubleshooting support throughout project delivery3. Collaborating with stakeholders to gather requirements and propose effective migration strategies4. Acting as a trusted advisor to customers on industry trends and emerging technologies5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
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 below, 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.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.

• 2+ years of experience in cloud architecture and implementation• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience• 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences• 2+ years of experience of Data platform implementation• Hands on experience with building data or machine learning pipeline• Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)

Key job responsibilities
As an experienced Professional Services Delivery Manager, you will be responsible for:Diverse Experiences
Amazon 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
Work/Life BalanceMentorship and 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.AWS Global Services

- 10+ years of IT consulting/management with IT Transformation in customer-facing roles experience
- 3+ years of program or engagement management work leading other project managers to deliver a program with multiple and concurrent projects experience
- Bachelor's degree in Computer Science, Math, or a related field
- Knowledge of infrastructure-as-a-service (IaaS) cloud computing transition challenges
- Experience in IT consulting/management with IT Transformation in a customer-facing role
- Experience in program or engagement management, leading other project managers to deliver a program with multiple and concurrent projects
- Experience in enterprise architecture including virtualization technologies & distributed architecture
- Experience managing and delivering large-scale enterprise IT projects

- Working on innovative AWS products and services
- Maintaining domain knowledge and expertise in enterprise call centers, workforce management, Artificial Intelligence and CRM platforms
- Implementing and extending frameworks and methodologies commonly used by enterprises to assess, migrate, and transform the call center experience
- Setting-up and configuring AWS services in-line with best practices
Key job responsibilities- Solutions - Define and deliver on-site Professional Services engagements with partners and customers. This includes participating in discovery workshops - understanding customer requirements, proposing and delivering packaged offerings, and delivering custom solution engagements, specifically focused on call center organization, processes, tooling and integration. Software development experience with building contact center integrations is a plus.
A day in the lifeDiverse 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.
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

- 10+ years of external or internal customer facing, complex and large scale project management experience
- 10+ years of cloud and on-premise integration experience
- 5+ years of software development with object oriented language experience
- Bachelor's degree, or 10+ years of professional or military experience
- At least 10 years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc.

- 10+ years of experience building call center / collaboration / telephony platforms in a Cloud or On-Premises environment, particularly building application integration capabilities for CRM/ WFM platforms
- Professional Services or Consulting experience in highly-visible customer-facing roles
- Familiarity with Amazon Connect capabilities, benefits, and required deployment skills
- Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure.
- Enterprise call center / telecomm implementation and operations experience
- Software Development / DevOps experience with integrating contact center platforms, CRMs, WFMs and AI

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
- 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 servicesA day in the life
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.Mentorship & Career GrowthWe’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

- 5+ years experience of software development life cycle (SDLC) and agile/iterative methodologies building full stack applications.
- 5+ years of hands-on development experience with modern programming languages (e.g. TypeScript, JavaScript, Java, Kotlin, Python, .NET)
- 5+ years designing/implementing cloud-native solutions on AWS
- Experience with Infrastructure as Code (e.g. AWS CDK, CloudFormation, Terraform), CI/CD pipelines (AWS CodeBuild, GitHub Actions), and Dev-ops practices
- Experience with distributed systems, micro-services architecture, and event-driven patterns with proven experience implementing large-scale solutions

- Strong background in API design and implementation (e.g. REST, GraphQL, gRPC). Experience working with Identity protocols such as (e.g. OpenID Connect, OAuth 2.0 )
- Knowledge of vector databases, retrieval-augmented generation, embedding pipelines
- Understanding of AI agent architectures, development patterns, protocols (e.g. MCP, A2A) and multi-agent systems. Expertise in RAG patterns, vector databases, and prompt engineering
- Hands-on experience with containerization and orchestration technologies (e.g. Docker, Amazon ECS, Kubernetes) and modern development practices
- Strong proficiency in observability and monitoring tools (e.g. OpenTelemetry, Datadog, Splunk, New Relic, Prometheus, Grafana) with focus on operational excellence