Currently tracking 1110 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
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.
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 |
|---|---|---|
| Senior SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs) designed by Amazon's Annapurna Labs. It involves working at the hardware-software boundary, pre-silicon and post-silicon, on SoC models, validation, and performance optimization. While the chips are for ML training and inference, the role itself is systems software engineering, not directly building ML models or agents. | — | 0 |
| Software Dev Engineer II, Ship With Amazon Software Development Engineer II focused on building and improving large-scale distributed systems for Amazon's global fulfillment network, utilizing workflows, optimization algorithms, and machine learning systems to solve complex transportation problems. | — | 0 |
| Software Development Engineer II, ProductX Software Development Engineer II on the Amazon Product Detail Page team, focusing on building a highly scalable, multi-tiered shopping application to enhance the online shopping experience for millions of customers worldwide. The role involves developing next-generation technologies and requires a strong commitment to engineering excellence, including quality, consistency, maintainability, and efficiency. |
| — |
| 0 |
| Business Analyst III, Relay Product Excellence Business Analyst III role focused on complex analytical workstreams, defining analytical strategy, and influencing product/operational decisions. Responsibilities include data extraction, analysis, model development, dashboard creation, root-cause analysis, KPI management, and providing actionable recommendations. Requires leadership in analytical projects, cross-functional collaboration, and stakeholder communication, with a focus on transaction integrity, compliance, and operational efficiency within the Identity Verification and Account Support domains. | — | 0 |
| System Development Manager, AWS Resilience, AWS Incident Response, AWS Incident Response System Development Manager for AWS Incident Response (AIR) team in Seattle. Leads engineers in operational excellence and tooling delivery for incident response, detection, and observability. Owns incident response leadership, detection & observability improvement, cross-site coordination, post-incident analysis, and team development. Focuses on systems engineering and operational leadership to improve AWS resiliency. | — | 0 |
| Sr. SoC Technical Program Manager, Silicon and System Group - Hardware Senior Technical Program Manager for Amazon's Silicon and Systems Group, focusing on pre-silicon readiness, silicon bring-up, and validation of next-generation SOC solutions. The role involves coordinating cross-functional engineering teams and ensuring successful first silicon boot and production readiness. | — | 0 |
| Senior SDE- Kernel Engineer, SSG Senior Kernel Engineer to build kernel stack and BSP for SoCs with custom hardware accelerators for consumer electronics, focusing on ML, computer vision, and robotics applications. Responsibilities include developing BSP components, collaborating on silicon features, silicon bring-up, debugging, and optimizing OS/kernel solutions. | — | 0 |
| SDET - Audio, SSG Software Development Engineer in Test (SDET) role focused on automating test infrastructure for next-generation consumer electronics platforms, specifically involving audio technologies. The role requires building test frameworks, tools, and automation for audio testing, with some exposure to ML model testing and AI agents as a preferred qualification. | — | 0 |
| Software Development Manager, Delta Change Management Service Software Development Manager for Amazon's FinTech organization, focusing on building and leading a team to develop large-scale, globally scalable financial systems. The role involves driving innovation, owning the team's roadmap and customer experience, ensuring engineering excellence, and making key architectural decisions for highly-available and resilient systems. The team's charter includes expanding compliance monitoring using advanced techniques and integrating AI/ML capabilities. | — | 0 |
| Software Development Manager, Transportation Financial Systems This role is for a Software Development Manager in Amazon's Transportation Financial Systems team. The primary focus is on managing a team of engineers to build and maintain scalable, innovative solutions for carrier invoice automation, ensuring compliance with regional and global financial regulations (Tax, e-invoicing, SOX, GRC, ACT). The role involves technical roadmap creation, stakeholder management, and driving innovation for systems handling billions of transactions. While the company leverages ML and GenAI, this specific role is centered on engineering management and building compliant financial systems, not direct AI/ML model development. | — | 0 |
| Sr. Security Engineer, Stores Application Security This role focuses on application security engineering within Amazon Stores, collaborating with development teams to ensure customer safety. Responsibilities include threat modeling, security architecture guidance, secure code review, developing security automation tools, conducting application security research, and adversarial analysis. The role requires strong technical acumen, leadership influence, and clear communication skills, with an emphasis on identifying and mitigating security risks in a wide array of technologies, including those leveraging AWS. | — | 0 |
| Engagement Manager, Professional Services, Korea This role is for an Engagement Manager at AWS Professional Services in Korea, focusing on leading the delivery of complex cloud solution projects. The role involves combining technical expertise with project leadership to bridge business requirements with technical solutions, manage technical risks, and ensure successful implementation of AWS-based solutions. It requires strong program/project management experience and technical credibility across diverse stakeholders, but does not involve direct AI/ML model development or research. | — | 0 |
| Sr Solutions Architect, AWSI MEGS This role is for a Senior Solutions Architect at AWS, focusing on the Media and Entertainment industry. The primary responsibilities include educating customers and internal stakeholders on emerging technologies and solutions, providing architectural guidance for customer projects, and creating content. The role requires extensive experience in technology domains, cloud computing, and IT implementation, with a preference for Games Industry experience. | — | 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 |
| Principal ProServe Cloud Architect This role is for a Principal ProServe Cloud Architect at Amazon Web Services (AWS). The architect will work with customers to understand their technical requirements and business objectives, designing and implementing tailored cloud solutions. They will be a key player in the sales process, providing technical expertise and guidance, and acting as a trusted advisor on industry trends and emerging technologies. The role involves creating and leading solution designs to achieve customer business outcomes, collaborating with sales and delivery teams, and sharing knowledge within the organization. | — | 0 |
| Data Engineer, MIDAS, Digital Acceleration Data Engineer role focused on building foundational analytical datasets and data pipelines using AWS services for Amazon's digital businesses. The role involves ETL, data modeling, and partnering with various teams including MLEs and Scientists. | — | 0 |
| Software Development Engineer, AWS Kumo Last-Mile Software Development Engineer role within AWS Kumo Last-Mile team, focusing on scaling AWS support capabilities through innovative solutions, automation, and customer-centric IT support. The role involves contributing to the complete vertical stack of an SOA based system, utilizing various technologies including Kotlin, Java, JavaScript, Ruby, and AWS services. The team employs machine learning for understanding customer behavior, predicting intent, personalizing content, and automating issue resolution via chatbots. | — | 0 |
| Security Engineer II, Stores Application Security Security Engineer II role focused on application security within Amazon Stores. Responsibilities include threat modeling, secure code review, developing security automation tools, and providing security guidance to software development teams. The role requires technical security expertise, strong communication skills, and the ability to influence partners towards secure solutions. It emphasizes collaboration with development teams to ensure customer safety while building novel services. | — | 0 |
| Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs This role is for a Sr. ASIC Design Engineer focused on designing and optimizing hardware (SoCs, accelerators) for AWS's machine learning inference servers, such as AWS Inferentia. The responsibilities include RTL design, SOC integration, performance/power/area analysis, and working with various engineering teams. While the hardware is for ML acceleration, the core craft of the role is ASIC design, not AI/ML model development. | — | 0 |
| Senior Operations Manager, AMZL This role is for a Senior Operations Manager at Amazon Logistics (AMZL) in Japan, focusing on building a world-class last-mile operation. The role involves managing all budgetary, people development, and operations objectives for a delivery station, including leading teams, coaching managers, and driving process improvements. While the job mentions the use of AI and GenAI tools to enhance operations and decision-making, the core responsibilities are in operations management, not in building or developing AI/ML models. | — | 0 |
| Sr. Regional Env. Manager CF ATS AGL, EAP This role is for a Sr. Regional Environmental Manager in Amazon Japan's Environmental Assurance Program (EAP) team. The manager will be responsible for environmental compliance across Amazon Japan's CF ATS AGL businesses, partnering with operations, facilities, and engineering teams. Key responsibilities include defining environmental policy, leading program rollouts, assisting with internal audits, and supporting change initiatives. The role requires strong program management capabilities, deep environmental regulatory knowledge, and excellent communication skills in both English and Japanese. The role will be based in Tokyo. | — | 0 |
| Assembly, Integration, & Testing Engineer, Quantum Computing Seeking an Electro-Mechanical Assembly, Integration, & Testing (AIT) Specialist for the Amazon Center for Quantum Computing. Responsibilities include assembling and testing complex electrical and mechanical systems, working with cryogenic systems, microwave electronics, and support hardware. The role involves mechanical assembly, hardware integration, maintenance, and servicing cryogenic test setups, as well as maintaining lab infrastructure and composing technical documents. | — | 0 |
| Sr. Global Commodity Manager, Compute & Vision, Robotics Global Commodity Management This role is for a Sr. Global Commodity Manager focused on Compute & Vision components within Amazon Robotics. The primary responsibility is managing global suppliers for electronic components, including CPUs, GPUs, NPUs, SoCs, SoMs, and camera/optics. Key tasks involve supplier relationship management, negotiation, contract development, sourcing strategy, cost reduction, and ensuring suppliers meet technical and commercial specifications to support new product introduction and long-term commodity strategy for robotics hardware. | — | 0 |
| Software Dev Engineer, Ship With Amazon, Ship With Amazon Software Development Engineer role focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems within Amazon's global fulfillment network. This involves working on large-scale distributed systems handling millions of packages, improving existing services, and building new ones. | — | 0 |
| Lead Software Development Engineer, Playback Team Lead Software Development Engineer for Audible's Player team, responsible for building and maintaining the audio listening platform that serves millions of users. The role involves defining, designing, and refining the technology for the end-to-end audio listening experience, including player clients, content security, delivery infrastructure, and data synchronization across devices. The position requires leading technical initiatives, mentoring developers, and setting technical strategy. | — | 0 |
| Sr. Applied Scientist, AWS Identity This role focuses on applying formal verification, program analysis, constraint-solving, and theorem proving to build tools for identifying security and safety issues in software systems. The scientist will create prototypes, integrate them into production, and support their scaling, interacting with internal teams and external customers to understand requirements and deliver solutions. | — | 0 |
| ASIC Test Engineer, Annapurna Silicon Operations Amazon is seeking an ASIC Test Engineer to develop tests and oversee production of their AI training chips (Trainium). The role involves hardware and software development for testing, NPI support, and high-volume production troubleshooting. Requires a Bachelor's degree in Electrical Engineering, experience with debugging, SoC verification, specific test equipment (Advantest 93K, Teradyne IGXL), and C/C++ or VBA/VBT. | — | 0 |
| Software Development Engineer, Amazon Fulfillment Technologies (AFT) - Outbound/Flow Software Development Engineer role in Amazon Fulfillment Technologies focused on the Outbound/Flow group, responsible for software that enables warehouse staff to pick items for orders quickly and accurately. The role involves dealing with real physical processes and real-time constraints, with opportunities to work with technologies like AWS, robotics, machine learning, and augmented reality. The engineer will be responsible for writing robust, reliable, scalable code and operating a mission-critical platform. | — | 0 |
| Software Development Manager Lead a team of Software Development Engineers to build and run control plane and data streaming systems for EC2 instance placement. The role involves creating vision and roadmap, attracting and growing talent, mentoring, and fostering an inclusive engineering culture. Requires solid technical leadership, a strong software engineering background with an interest in optimization, machine learning, and data streaming technologies, and experience in managing teams to deliver results in an agile environment. | — | 0 |
| Cloud Operations Architect / Architecte des opérations cloud, EMEA, France AWS Enterprise Support is seeking a Cloud Operations Architect to provide technical guidance and support to customers in adopting and utilizing AWS services. This role involves acting as a principal technical advisor and the 'voice of the customer' for organizations ranging from startups to Fortune 500 enterprises, helping them achieve maximum value from AWS. | — | 0 |
| Software Development Engineer - Big Data, Brand Metrics and Benchmarks Software Development Engineer role focused on building and architecting large-scale big data pipelines and data paradigms for advertising data at Amazon. The role involves designing fault-tolerant data pipelines, enabling real-time analytics and ML applications, and collaborating with data scientists and partner teams. It requires experience with big data technologies like Spark and AWS, and focuses on stability, reliability, and continuous improvement of the data platform. | — | 0 |
| Applied Scientist, Special Projects This role focuses on developing and operating bioinformatics analysis workflows on AWS, evaluating novel bioinformatic approaches, originating data collection workflows, and partnering with laboratory science teams on experiment design and analysis. It emphasizes innovation and creating new products and services within Amazon's Special Projects team. | — | 0 |
| Instrument Control Engineer, Software, Center for Quantum Computing The Instrument Control Engineer will work on software for quantum computing devices, collaborating with physicists and hardware developers to characterize, calibrate, and operate quantum devices. Responsibilities include translating science requirements into software implementations, developing instrument drivers, and contributing to compiler backends for experimental execution. The role requires strong engineering principles and teamwork. | — | 0 |
| DFT Design Engineer, Machine Learning Acceleration This role is for a DFT Design Engineer focused on custom SoCs for AWS Machine Learning servers, specifically AWS Inferentia and Trainium systems. The engineer will define and develop DFT architectures, work with design teams, perform RTL coding and verification, and utilize DFT tools for test pattern generation and silicon debug. The role requires experience with complex SoC designs and standard DFT practices. | — | 0 |
| Senior Architecture Modeling Engineer, AWS Machine Learning Accelerators Develop and own SoC functional models end-to-end, including model architecture, integration, testing, and debug for AWS Machine Learning accelerators. Collaborate with architecture, RTL design, and software teams. Innovate on tooling for customers and drive performance improvements. Experience with C++ or SystemC is required, Python is familiar. No ML background needed, but opportunity to learn. | — | 0 |
| Software Developer Engineer II Software Development Engineer II at Amazon Business focused on expanding global reach by designing, developing, and implementing scalable solutions for diverse languages, cultures, and regions. The role involves the full software development lifecycle, architectural improvements, and mentoring junior team members, utilizing AWS technologies and machine learning. | — | 0 |
| Software Developer Engineer II, IES LATECH Software Development Engineer II role focused on automating the launch strategy for Amazon's expansion into new countries, building customer-facing features in a distributed environment that impacts e-commerce revenue globally. The role involves designing, developing, and operating software solutions, mentoring junior engineers, and contributing to recruiting. | — | 0 |
| Senior Delivery Consultant - Application Modernization, AWS Professional Services This role focuses on leading the design, implementation, and management of AWS cloud solutions for application modernization, acting as a trusted advisor to customers on cloud adoption and emerging technologies. It involves collaborating with stakeholders, assessing current applications, proposing migration strategies, and ensuring adherence to best practices throughout the project lifecycle. | — | 0 |
| Sr. Manager ASIC, Annapurna Labs - Cloud Scale Machine Learning Acceleration Team This role is for a Senior Manager leading a team of SOC integration engineers responsible for designing and optimizing ML accelerator chips and inference servers within AWS. The focus is on hardware design and integration for machine learning acceleration, not on the AI/ML models themselves. | — | 0 |
| Software Dev Engineer II, FireTV Devices, Content & Advertising Software Development Engineer II role focused on designing and implementing full-stack technologies for FireTV, Fire Tablet, and Alexa devices to enhance customer content consumption experiences. The role involves creating innovative customer experiences using Android, cloud services, and frontend/backend technologies, collaborating with product and UX teams, and architecting solutions for user interaction and entertainment discovery. | — | 0 |
| Team Manager, JWO CXQO Field Team Manager for AWS Applied AI Solutions organization, focusing on leveraging AI/ML for business applications in physical stores (e.g., Amazon Go, Dash Cart). The role involves coaching, building, and leading high-performing teams to deliver world-class customer experiences and achieve operational KPIs. Responsibilities include people management, talent development, performance management, and fostering a positive team environment. | — | 0 |
| Software Development Manager, ICON Software Development Manager for the Intelligent Cloud Hosting (ICON) team at Amazon, focusing on developing innovative software products to boost engineer productivity and improve service posture (security, availability, efficiency, compliance, maintainability). The role involves leading the design, implementation, and delivery of large-scale distributed systems, partnering with product and program management, and leveraging machine learning for statistical evaluation and pattern recognition. While AI/ML is mentioned as a tool for improvement, the core craft of the role is software engineering management and platform development, not direct AI/ML model building. | — | 0 |
| Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability Manufacturing Engineer for AWS Trainium (ML accelerator) hardware, focusing on quality, reliability, and manufacturing processes with ODMs/CMs in Asia. Responsibilities include test validation, process improvement, line qualification, risk assessment, and root cause analysis for production and supplier defects. | — | 0 |
| Senior Operations Manager, AMZL This role is for a Senior Operations Manager at Amazon Logistics (AMZL) in Japan. The primary focus is on managing and optimizing last-mile delivery operations, including budget, people development, and operational objectives for a delivery station. While the role mentions the use of AI and GenAI tools to enhance decision-making and focus, the core responsibilities are centered around traditional logistics and operations management, not the direct development or deployment of AI models or systems. | — | 0 |
| Data Engineer II Data Engineer II role focused on building and maintaining data platforms, clusters, and pipelines for Amazon's Transparency program, which protects consumers from counterfeit products. The role involves collaborating with analytics teams to implement advanced analytics and GenAI algorithms, but the core responsibility is data engineering. | — | 0 |
| Network Operations Support, Global Connectivity Infrastructure Development This role is for a Network Operations Support position within AWS Global Connectivity Infrastructure Development, focusing on the design, planning, delivery, and operation of AWS global infrastructure. The candidate will support data center locations, manage capacity, automate and scale operations, and work with vendors and cross-functional teams to ensure smooth project execution and network growth. The role requires experience in computer hardware troubleshooting and networking. | — | 0 |
| Program Manager, Launch Configuration and Verification, AMZL JP Launch & Expansion, AMZL JP Launch & Expansion Program Manager role focused on launching and verifying configurations for Amazon's logistics network in Japan. The role involves system configuration and verification for all last-mile nodes, aiming for a 'Right First Time' launch with a target of zero DPMO. While the company mentions integrating AI tools into daily operations, this role itself is not directly building or deploying AI models. | — | 0 |
| Sr. Signal Integrity / Power Integrity Engineer, Annapurna Labs, Machine Learning Hardware Seeking a Senior SI/PI Engineer for AWS Annapurna Labs to design and validate next-generation machine learning ASICs, focusing on high-speed channel simulations, PCB layout optimization, and ensuring signal integrity for AWS datacenter platforms. Requires expertise in simulation tools, PCIe protocols, and PCB manufacturing processes. | — | 0 |
| Senior Delivery Consultant - Application Modernization, AWS Professional Services This role is for a Senior Delivery Consultant at AWS Professional Services, focusing on Application Modernization. The consultant will lead the design, implementation, and management of AWS solutions, acting as a trusted advisor to customers on their cloud journey. Responsibilities include gathering requirements, proposing migration strategies, and ensuring adherence to best practices throughout the project lifecycle. The role involves leading teams and mentoring others, with a focus on cloud-based solutioning and automation. | — | 0 |
| Senior Software Development Engineer, AWS Machine Learning Accelerators Senior Software Development Engineer to build and own end-to-end functional models of custom ML accelerator SoCs. This role involves developing models, infrastructure, and tooling for internal AWS teams, focusing on C++ and SystemC, with opportunities to learn ML at the hardware/system level. The primary deliverable is the functional model itself, which is a critical piece of software for the SoC development process. | — | 0 |
