Accounting Consultant jobs in Australia

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
- Guide customers on architectures and practices meeting industry standards/frameworks, such as PSPF, ISM, ISO 27k, SOC, PCI-DSS, NIST CSF, etc.- Deliver consulting and/or implementation with enterprise security solutions such as identity management, federation systems, WAF, IPS, Anti-DDOS, and SIEM.
- Provide technical expertise in security architecture, automation, integration, and deployment (DevOps).
- Build enterprise security strategy, including for cloud adoption or driving the evolution to meet new requirements.A day in the life
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.

- 5+ years of technical specialist, design and architecture experience
- 5+ years of security, compliance and risk management experience
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of external or internal customer facing, complex and large scale project management experience

- Industry security qualifications (e.g., CISA, CISM, IRAP assessor, etc.)

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

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 lifeWhy AWS
Work/Life HarmonyMentorship 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.

- 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 .NET and other modern programming languages (e.g. TypeScript, JavaScript, Java, Kotlin, Python)
- 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 designing and implementing .NET applications
- 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

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 services
- Leading product vision and strategy for customer solutions, working backwards from business objectives to define product roadmaps, requirements, and success metrics
- Driving technical product development with Software Development Engineers (SDEs), facilitating product discovery, backlog prioritization, feature definition, and technical design decisions
A 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 of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
- 5+ years of cloud architecture and solution implementation experience
- Experience in technical product management, program management or engineering
- Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems

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)