This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI, ML, and Agentic technologies. The architect will build technical relationships, craft scalable architectures, provide recommendations on various aspects of cloud adoption, and act as the voice of the customer internally. Responsibilities include creating technical content, leading deep dives, and ensuring solutions are production-ready. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and MLOps.

This role leads the design and deployment of a modern digital foundations architecture and enterprise AI platform for a large mining company. It involves scaling an AI platform to support 500+ concurrent agents, implementing an edge-to-cloud architecture across remote sites, and leading a team of engineers. The focus is on hardening the AI platform, enabling citizen development, and translating technical decisions into business outcomes.

This role focuses on guiding enterprise customers in adopting and scaling GenAI/ML and Agentic technologies on AWS. The Specialist Solutions Architect will act as a trusted advisor, designing technical architectures, providing recommendations on various aspects of cloud services, and influencing the roadmap of AWS GenAI/ML and Agentic features. The role involves creating and sharing best practices, technical content, and reference architectures, as well as evangelizing AWS technology through various channels.

Senior Delivery Consultant (GenAI FullStack SDE) at AWS Professional Services, focusing on building end-to-end Generative AI applications for enterprise customers. The role involves full-stack development, designing and implementing AI agent architectures, and leveraging AI-powered development tools. The primary focus is on delivering solutions using AWS services, with a secondary emphasis on the underlying inference infrastructure.

This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale Generative AI, ML, and Agentic technologies. The architect will build technical relationships, provide architectural guidance, and translate customer needs into scalable solutions on AWS. Responsibilities include advising on security, cost, performance, and operational efficiency, contributing to AWS service roadmaps, and creating technical content like whitepapers and workshops. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and deploying LLMs.

This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI, ML, and Agentic technologies. The architect will build technical relationships, craft scalable architectures, provide recommendations on various aspects of cloud adoption, and act as the voice of the customer internally. Responsibilities include creating technical content, leading deep dives, and ensuring solutions are production-ready. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and MLOps.

This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation. You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.

Principal Solutions Architect for AWS Strategic Accounts, focusing on designing and implementing AI and Analytics solutions for customers. This role involves deep customer engagement, architectural guidance, and influencing product roadmaps, with a strong emphasis on generative AI, data strategy, and adoption patterns.

This role is for a Sr. OpenSearch Specialist Solutions Architect at AWS. The primary focus is on advising customers on designing and deploying scalable, secure, and performant search, analytics, and Generative AI solutions using Amazon OpenSearch. The role involves architectural reviews, migration assessments, and collaborating with product and sales teams to influence roadmaps and drive customer adoption. It also includes community building and creating enablement resources.

Software Development Engineer role focused on building prototypes for public sector customers using AWS services, including AI/ML technologies. The role involves full software development lifecycle, customer collaboration, and hands-on work with various cloud and open-source technologies.

Senior Delivery Consultant for AWS Professional Services, focusing on designing, implementing, and managing AWS solutions for customers. The role involves providing technical expertise, guidance on industry trends, and leading project delivery to ensure customer success in their cloud journey. While AI tools for development productivity are mentioned, the core function is cloud solution delivery and customer consulting, not direct AI/ML model development.

This role is a Support Engineer for AWS Region Services, focusing on Linux technical support within a secure cloud environment. The role involves troubleshooting customer issues, interacting with engineering teams, driving process improvements, and writing technical documentation. While the role uses internal AI systems for problem-solving, its core function is technical support and system administration, not AI/ML development.

Associate Support Engineer role focused on technical support for AWS Region Services, involving troubleshooting, issue resolution, and leveraging Linux and cloud expertise. The role uses internal AI systems for problem-solving and diagnosis, and contributes to service improvement and documentation.

Support Engineer role focused on Linux systems administration, troubleshooting, and operational support within AWS Region Services. The role involves interacting with engineers, leveraging Linux and technical experience, driving service team communication, and improving support processes. It also includes writing technical articles, coaching new hires, and developing tools. A key aspect is using internal AI systems for problem-solving and diagnosis, but the core function is technical support and operational excellence in a secure cloud environment.

Associate Support Engineer role focused on technical support for AWS Region Services, involving troubleshooting, interacting with engineers, leveraging Linux experience, driving service team communication, and improving support processes. The role also involves writing technical articles, coaching new hires, and using internal AI systems for problem-solving.

Software Engineer role within AWS Professional Services focused on delivering cloud-native solutions using AWS services, with a specific emphasis on leveraging AI/ML services to build AI-enabled applications and agent architectures for customers.

AWS Professional Services Cloud Architect in Australia focused on Public Sector customers, specializing in pre-sales and solution design for Agentic AI and Generative AI. The role involves understanding customer requirements, architecting cloud solutions, developing proof-of-concepts, and acting as a trusted advisor on emerging technologies.

Support Engineer role focused on Linux systems within AWS Region Services, involving troubleshooting, customer interaction, service improvement feedback, and using internal AI systems for problem-solving. The role emphasizes operational excellence and security within sensitive Australian government workloads.

This role is for a Senior Finance Data Analyst who will build reporting tools and dashboards for the Amazon Retail Finance team. The role involves automation, business intelligence, and integrating with AI/ML initiatives to improve financial analysis and reporting. While the role will interact with AI/ML tools and initiatives, its core function is data analysis and reporting within finance, not the direct development or research of AI models.

This role is for a Senior Solutions Architect at AWS, focusing on the Retail, Consumer Goods & Restaurants industries. The primary responsibility is to help customers understand and adopt AWS cloud solutions, driving business outcomes through architectural guidance, training, and strategic planning in partnership with sales teams. The role involves educating customers, building relationships, and acting as a technical liaison.

This role is for a Systems Engineer focused on Windows infrastructure within the AWS Region Services team in Australia. The primary responsibilities include designing, implementing, and automating complex Windows infrastructure solutions, managing Active Directory, and developing Infrastructure as Code. While the team works with AI and ML services, this specific role is centered on the underlying Windows systems engineering and automation, not direct AI/ML model development or deployment.

This role is for a Systems Development Engineer on the AWS Region Services team in Sydney, Australia. The primary focus is on supporting and refining system requirements, developing and delivering operability features like monitoring, diagnostics, and self-healing automation. The role involves managing and improving operations for scalable, high-availability cloud services, including participating in on-call rotations and incident resolution. While the team works with AI/ML, this specific role is centered on the engineering and operational aspects of secure cloud infrastructure, not direct AI/ML model development or research. It requires experience with automation, programming languages, Linux/Unix, and ideally with distributed systems, performance tuning, and infrastructure as code.

Senior Solutions Architect for AWS Global Services in Australia, focusing on helping customers design, build, and operate cloud environments. The role involves technical consulting, relationship building, and acting as a trusted advisor to accelerate cloud adoption. It also includes evangelizing AWS services through content creation and community engagement, and providing feedback to product teams.

This role is for a Senior Delivery Consultant at AWS Professional Services, focusing on application modernization. The consultant will design, implement, and manage AWS solutions for customers, acting as a trusted advisor on cloud strategies and emerging technologies. The role involves collaborating with stakeholders, gathering requirements, proposing migration strategies, and ensuring successful project delivery. While the team touches on Generative AI, the core of this role is broad AWS solution delivery and customer consulting, not direct AI/ML model development or deployment.

This role is for a Senior Delivery Consultant focused on database modernization using AWS Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, provide technical guidance, gather requirements, propose migration strategies, and act as a trusted advisor on industry trends and emerging technologies. The role involves leading implementation processes, optimizing performance, and managing risks throughout the project lifecycle. It emphasizes customer success and leveraging AWS cloud services.

This role is an Associate DevOps Analyst position within Amazon Web Services (AWS) Region Services team in Sydney, Australia. The primary focus is on supporting and operating AWS services in highly secure, scalable environments, particularly for sensitive workloads. Responsibilities include defining, building, owning, and running services, solving problems in massive-scale areas, learning to build and operate distributed systems, and building/influencing tools for internal services. The role involves supporting activities for these services, working with development teams, driving issues to resolution, understanding business logic and architecture, creating and improving support documentation, performing code builds and deployments, and interpreting metrics. The team provides 'hands on keyboard' support by deploying changes, monitoring results, and reporting issues. Basic qualifications include experience with Linux/Unix, production support procedures, and troubleshooting. Preferred qualifications include CI/CD, networking fundamentals, scripting, and documentation tools.

Senior Solutions Architect for Financial Services customers, focusing on cloud adoption and innovative solutions on AWS. Requires deep industry expertise, technical leadership, and ability to design secure, scalable cloud architectures.

This role is for an Associate Systems Engineer focused on Windows infrastructure within Amazon Web Services (AWS) Region Services. The primary responsibilities include designing, implementing, and automating Windows Server infrastructure and Active Directory services, performing system maintenance, and developing automated solutions using scripting languages like PowerShell. The role requires experience in systems engineering, administration, or DevOps, with a focus on operational excellence and security in a cloud environment. While the company mentions AI and ML, this specific role is centered on core Windows systems engineering and automation, not direct AI/ML model development or deployment.

Associate Systems Engineer role focused on designing, implementing, and automating complex Windows infrastructure solutions within AWS Region Services. The role involves managing large server fleets, building automated solutions, and working with various AWS services in a secure environment. Requires experience in site reliability engineering, systems engineering, or similar, with scripting skills.

This role is an Associate DevOps Analyst position within Amazon Web Services (AWS) Region Services team in Sydney, Australia. The primary focus is on supporting and operating AWS services in highly secure, scalable environments, particularly for sensitive workloads. Responsibilities include defining, building, owning, and running services, solving problems in massive-scale areas, learning to build and operate distributed systems, and building/influencing tools for internal services. The role involves supporting activities for these services, working with development teams, driving issues to resolution, understanding business logic and architecture, creating and improving support documentation, performing code builds and deployments, and interpreting metrics. The team provides 'hands on keyboard' support by deploying changes, monitoring results, and reporting issues. Basic qualifications include experience with Linux/Unix, production support procedures, and troubleshooting. Preferred qualifications include CI/CD, networking fundamentals, scripting, and documentation tools.

Technical Account Manager (TAM) for AWS Enterprise Support, focusing on customer success in building applications and services on the AWS platform. Responsibilities include acting as a single point of contact, providing expert advice on AWS services, making service improvement recommendations, evaluating operational performance, championing customer requirements, and planning business-critical events.

This role involves deploying and servicing data center building automation systems, such as Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS), to ensure the health and efficiency of AWS data centers. Responsibilities include overseeing new deployments, upgrading existing systems, providing local servicing expertise, and collaborating with various internal teams and external vendors.

This role is an Associate DevOps Analyst for AWS Region Services in Melbourne, Australia. The primary focus is on supporting and operating AWS services in secure, scalable environments, including those involving AI and ML, but the role itself is not directly building or researching AI/ML models. Responsibilities include defining, building, owning, and running services, solving problems in massive-scale areas, learning to build and operate distributed systems, and building/influencing tools for internal services. The role involves supporting activities, working with development teams, resolving tickets, performing code builds and deployments, and interpreting metrics. Basic qualifications include experience in 24/7 production environments, Linux/Unix OS, and production computing support. Preferred qualifications include CI/CD, networking, scripting, troubleshooting, and documentation skills. The role requires Australian citizenship and the ability to obtain a government security clearance.

Senior Manager for Trade Compliance in the APAC region for AWS Security, focusing on import/export regulations, process development, and stakeholder management. Requires extensive experience in customs and trade compliance within the APAC region and leveraging technology for process improvements.

This role focuses on systems engineering within AWS Region Services, emphasizing the development and maintenance of secure, scalable cloud environments. Responsibilities include defining hardware requirements, developing operational tools, managing system health, and participating in incident response. While AI/ML are mentioned as technologies used by the team, the core craft of this specific role is not AI/ML development but rather systems engineering and operational excellence in a secure cloud context.

Systems Development Engineer role within AWS Region Services team, focusing on building and maintaining secure, scalable cloud environments for sensitive workloads in Australia. Responsibilities include defining system requirements, developing operational features like monitoring and self-healing automation, improving operations management systems, and participating in acceptance tests and on-call rotations. Requires Australian citizenship, security clearance, and experience in networking, storage, operating systems, and programming.

This role involves deploying and servicing controls systems (BMS and EPMS) for AWS data centers, ensuring optimal health and performance. Responsibilities include installation, upgrades, troubleshooting, project execution, and providing regional servicing expertise. The role requires collaboration with various internal teams and external vendors to maintain data center reliability and security.

Associate Systems Engineer role within AWS Region Services, focusing on operating and improving large software systems, troubleshooting customer issues, implementing operational excellence, and automating manual processes. Requires Linux skills, scripting (Bash, Python, Ruby), and networking fundamentals. Must hold or be eligible for Australian Government Security Clearance.

This role is for a Systems Development Engineer focused on building and maintaining secure, scalable cloud environments for sensitive workloads within AWS Region Services. The role involves defining system requirements, developing operational tools, monitoring fleet health, and participating in incident response. While the team works with AI/ML, the core responsibilities are in systems engineering, operations, and automation.

Systems Development Manager for AWS Region Services in Australia, focusing on secure, scalable cloud environments. The role involves developing and deploying operational tools, managing teams, building and managing scaled services, troubleshooting customer issues, and tracking service health. Requires strong Linux and development tool familiarity, with an emphasis on security clearances and collaboration with product teams to design and deliver solutions.

This role is for an Associate Systems Engineer on the AWS Region Services team in Melbourne, Australia. The primary focus is on operating and improving large software systems, troubleshooting issues, implementing Operational Excellence best practices, and automating manual processes within secure, scalable cloud environments. The role requires experience with Linux, troubleshooting scalable systems, and scripting for automation. While AI and ML are mentioned in the context of the team's work, the core responsibilities of this specific role are centered around systems engineering, operations, and support within a regulated environment.

Systems Engineer role focused on operating and maintaining secure, scalable cloud environments within AWS Region Services in Australia. Responsibilities include defining hardware requirements, developing management tools, adapting operations systems, executing acceptance tests, monitoring fleet health, and participating in on-call rotations. Requires Australian citizenship and security clearance.

This role is for a Sr. Systems Development Engineer on the AWS Region Services team in Sydney, Australia. The role involves deploying and operating in a Linux/Unix environment, systems development, design, software development, operations, automation, and process improvement. While the team works with cloud computing, AI, and ML, the core responsibilities of this specific role are focused on systems engineering and operations rather than direct AI/ML model development or deployment.

This role focuses on developing and maintaining operational systems and tools for AWS Region Services, emphasizing automation, system health monitoring, diagnostics, and incident resolution within a secure cloud computing environment. While AI and ML are mentioned as technologies used by the team, the core responsibilities are centered around engineering and operational excellence of cloud infrastructure, not direct AI/ML model development or deployment.

This role is for a Systems Development Engineer on the AWS Region Services team in Sydney, Australia. The primary focus is on supporting and refining system requirements, developing and delivering operability features like monitoring, diagnostics, and self-healing automation. The role involves managing and improving operations for scalable, high-availability cloud services, including participating in on-call rotations and incident resolution. While the team works with AI/ML, this specific role is centered on the engineering and operational aspects of secure cloud infrastructure, not direct AI/ML model development or research. It requires experience with automation, programming languages, Linux/Unix, and ideally with distributed systems, performance tuning, and infrastructure as code.