Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1573 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Software Development Engineer, AWS (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (7). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1023 roles), Canada (59 roles), United Kingdom (47 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 696 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Partner Account Manager, Worldwide Public Sector - ANZ This role is a Partner Account Manager for AWS within the Worldwide Public Sector in Australia and New Zealand. The primary focus is on managing and growing relationships with Solutions Integration Partners to drive the adoption of AWS services within the public sector. The role involves strategic planning, business development, co-selling, and ensuring partner success in delivering solutions to public sector customers. | — | 0 |
| Associate Systems Engineer - Windows 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. |
| — |
| 0 |
| Associate DevOps Analyst 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. | — | 0 |
| Controls Engineer, APAC Controls Deployment & Service 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. | — | 0 |
| Technical Account Manager (ANZ) Technical Account Manager (TAM) for AWS Enterprise Support customers, focusing on their success in building and operating on the AWS cloud. The role involves understanding customer outcomes, providing expert advice on AWS services, and acting as a liaison between customers and AWS engineers. | — | 0 |
| Associate DevOps Analyst, Region Services 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. | — | 0 |
| Systems Engineer, Region Services 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. | — | 0 |
| Systems Development Engineer 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. | — | 0 |
| Controls Technician, APAC Controls Deployment & Service 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. | — | 0 |
| Systems Development Engineer, Region Services 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. | — | 0 |
| Associate Systems Engineer 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. | — | 0 |
| Associate Systems Engineer 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. | — | 0 |
| Systems Engineer, Region Services 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. | — | 0 |
| Systems Development Engineer 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. | — | 0 |
| Systems Development Engineer 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. | — | 0 |
| Systems Engineer, Region Services | — | — |
| Systems Engineer - Windows , Region Services | — | — |
| Sr. Systems Development Engineer, Region Services | — | — |
| Sr. Systems Development Engineer, Region Services | — | — |