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 |
|---|---|---|
| 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 |
| Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs |
| — |
| 0 |
| Editorial Stylist, Creative Content Team Editorial Stylist for Shopbop, responsible for leading styling execution for on-figure and off-figure content across various channels. The role involves owning shoots end-to-end, developing strategic outfitting plans, and partnering cross-functionally to ensure styling supports brand standards and business priorities. Requires a strong understanding of fashion trends, customer insights, and the ability to translate creative direction into commercially effective storytelling in a fast-paced production environment. | — | 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 |
| 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 |
| Tech Product Marketing Manager, AWS Edge Networking, AWS Global Infrastructure Product Marketing Manager for AWS Edge Networking, responsible for defining and driving marketing and go-to-market strategy, including launch activities, content creation, marketing programs, and shaping product vision with engineering teams. Aligns with technical and business leaders on primary cloud and AI use cases. | — | 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 |
| Sr. Analytics Program Manager, Middle Mile Supply and Routing Optimization This role is for a Sr. Analytics Program Manager focused on supply chain optimization within Amazon's Middle Mile Transportation Technology team. The role involves program management, stakeholder collaboration, process improvement, and generating business insights using advanced analytics, data visualization, and automation. The individual will work with large datasets, SQL, Excel, and reporting tools to drive decision-making and improve operational efficiency in a fast-paced, technical environment. | — | 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 |
| Finance Manager, SCOT Finance Finance Manager for Amazon's Supply Chain Optimization Technologies (SCOT) team, focusing on strategic sourcing. The role involves supporting sourcing strategy, vendor selection, financial metrics, planning, forecasting, and reporting. It requires collaboration with operations research scientists, economists, machine learning specialists, software developers, and product managers, but the core function is finance management and analysis, not direct AI/ML development. | — | 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 |
| 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 |
| Principal Engagement Manager, Professional Services (ProServe) team This role is for a Principal Engagement Manager within Amazon Web Services (AWS) Professional Services. The primary responsibility is to lead the delivery of complex cloud solution projects for clients, bridging business requirements with technical solutions. The role involves technical leadership, project management, risk management, and ensuring successful implementation of AWS-based solutions. While the role operates within AWS and may touch upon AI services, its core function is project and solution delivery, not direct AI/ML model development or research. | — | 0 |
| Embedded Software Development Engineer, Ring Software Development Engineer responsible for defining, building, and supporting system design, architecture, and software for Ring IoT products. This role involves close interaction with business and cross-functional engineering teams, contributing to all aspects of the software development life cycle, and developing embedded software in C/C++. | — | 0 |
| Delivery Consultant - Database, AWS Professional Services, AWS Professional Services This role focuses on helping customers implement database transformations and migrate their database environments to AWS cloud-based platforms. It involves collaborating with customers and partners on key engagements, developing proof-of-concept projects, technical workshops, and supporting implementation projects. The role requires expertise in commercial or open-source database platforms and understanding of AWS services like RDS, Aurora, DynamoDB, and Redshift, with a focus on migrating and optimizing complex, high-scale database environments. | — | 0 |
| Control Stack Manager, Center for Quantum Computing Lead a team of scientists and software engineers developing research software and infrastructure for a fault-tolerant quantum computer, focusing on the quantum software-hardware interface and collaborating with physics and hardware teams. | — | 0 |
| Sr BIE, AWS GDSP 3PX This role focuses on Business Analytics and Business Intelligence for AWS Private Pricing deals, requiring strong analytical skills to provide performance reporting, actionable insights, and decision support. Responsibilities include building analytical and forecasting models, creating dashboards, and implementing automation solutions. The role involves partnering with business stakeholders to translate requirements into actionable solutions and driving process improvements. | — | 0 |
| Mechanical Engineer Annapurna Labs , Annapurna Labs, Machine Learning Hardware Mechanical Engineer responsible for the design and optimization of hardware (specifically thermal and mechanical aspects) for large-scale server deployments in Amazon's data centers, supporting custom chips and accelerators for AWS services like ML Trainium and Inferentia. | — | 0 |
| Copywriter, Amazon Leo This role is for a Copywriter for Amazon Leo, a satellite internet network. The Copywriter will be responsible for crafting compelling narratives and consistent messaging across various customer touchpoints and audiences (B2C, B2B, B2G). The role involves creative development, copy excellence across all media, and collaboration with cross-functional teams. While the role will leverage generative AI tools to enhance creative workflows, the core function is copywriting and brand messaging, not AI/ML development. | — | 0 |
| Sr. Cloud Solutions Consultant, WWPS ProServe This role is for a Sr. Cloud Solutions Consultant at Amazon Web Services (AWS) ProServe. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and best practices throughout the project lifecycle. Responsibilities include collaborating with stakeholders, assessing infrastructure, proposing migration strategies, and acting as a trusted advisor on emerging technologies. The role requires strong software/systems engineering, coding, automation, and design/architecture skills, with a focus on enterprise cloud adoption and modernization. | — | 0 |
| Software Dev Engineer, EC2 Nitro Software Development Engineer on the EC2 Nitro MLS team, focused on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams. Requires strong C/C++ or Rust, Linux, and computer science fundamentals. ML framework and cluster management knowledge is preferred. | — | 0 |
| Sr. Cloud Solutions Consultant, WWPS Professional Services This role is for a Sr. Cloud Solutions Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include collaborating with stakeholders, proposing migration strategies, acting as a trusted advisor, and sharing knowledge within the organization. The role requires a strong software/systems engineering background, coding/automation, and design/architecture skills, with a focus on customer success in their cloud adoption journey. | — | 0 |
| Sr. Cloud Solutions Consultant, WWPS ProServe This role involves designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor on cloud technologies and migration strategies. It requires deep AWS product knowledge and project management skills throughout the cloud adoption lifecycle. | — | 0 |
| Software Development Engineer - 2026 (US) Software Development Engineer role at Amazon focused on building and operating innovative products and services. The role involves designing and developing scalable solutions using cloud-native architectures and microservices, with an emphasis on leveraging AI/ML tools to enhance development productivity. It requires collaboration, code ownership, and operational excellence in an agile environment. | — | 0 |
| Quantum Research Scientist, Processor Test & Measurement, AWS Center for Quantum Computing Research Scientist role focused on developing and testing novel calibration and optimization tools for Quantum Error Correction on large-scale quantum processors within the AWS Center for Quantum Computing. Requires a PhD in a relevant field and experience characterizing quantum systems through measurement. | — | 0 |
| Delivery Consultant, WWPS ProServe This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and providing technical expertise throughout the project lifecycle. It requires strong cloud architecture skills and experience with AWS services, but the core function is not AI/ML model development or deployment. | — | 0 |
| Delivery Consultant, WWPS ProServe This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and providing technical expertise throughout the project lifecycle. It requires strong cloud architecture skills and experience with AWS services, but the core function is not AI/ML model development or deployment. | — | 0 |
| Delivery Consultant-DevOps, WWPS ProServe This role is for a Delivery Consultant focused on DevOps and AWS cloud solutions for US Intelligence Community agencies. The primary responsibilities involve implementing and architecting cloud solutions, understanding customer needs, and ensuring security best practices. It requires a TS/SCI security clearance with polygraph. | — | 0 |
| Delivery Consultant, National Security (NatSec) Professional Services (ProServe) This role involves implementing innovative cloud computing solutions and solving technical problems for U.S. Intelligence Community agencies using AWS. The consultant will help these groups understand application architectures and integration approaches, ensuring projects are on a trajectory to success. The role requires knowledge of primary AWS services and experience implementing them in distributed environments, with a strong emphasis on cloud architecture and solution implementation. | — | 0 |
| Senior Design Automation Engineer, Software, Center for Quantum Computing Senior Design Automation Engineer for a quantum computing center, focusing on developing scientific software for automating, scaling, and optimizing the quantum device design process. Requires translating high-level science requirements into performant, scalable, and intuitive software implementations, including Python APIs, automation routines, and infrastructure-as-code setups. The role involves working closely with chip designers and scientists to improve design, simulation, and analysis tools, and leveraging HPC workloads. Experience with the full software development lifecycle and scientific computing is essential. | — | 0 |
| Delivery Consultant, WWPS Professional Services This role involves designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and providing technical expertise throughout the cloud journey. It requires knowledge of AWS services, solution architecture, and migration strategies. | — | 0 |
| Technical Account Manager, National Security, National Security - ES US-ADC This role is a Technical Account Manager (TAM) for National Security customers within Amazon Web Services (AWS). The TAM acts as a strategic technical advisor and the 'voice of the customer', helping customers adopt and utilize AWS services effectively. Responsibilities include crafting and executing adoption strategies, providing technical guidance, ensuring operational health of AWS environments, and managing relationships with senior leadership. The role requires a strong technical background in IT operations and AWS services, with a focus on customer success and strategic planning, not sales. A TS/SCI security clearance is mandatory. | — | 0 |
| Software Development Engineer II, Amazon Industrial Robotics Software Development Engineer II role focused on developing embedded software for advanced robotics systems at Amazon Industrial Robotics. Responsibilities include controlling complex mechatronic systems, working with various components like motor control and sensing, contributing to system architecture, and developing solutions that balance performance and maintainability. The role involves working within cross-functional teams on firmware and real-time software, including design, testing, and debugging. | — | 0 |
| Senior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS This role focuses on building and owning virtual platforms (full-system C++ and SystemC models) for custom machine learning accelerator chips (Trainium and Inferentia). The virtual platform enables software teams to start development before silicon is available. The role involves developing models, improving platform infrastructure (QEMU integration, simulation performance), and supporting software development teams. | — | 0 |
| Data Engineer, Denied Party Screening, AWS Compliance & Security Assurance This role is for a Data Engineer on the Deny Party Screening (DPS) team, which focuses on preventing denied parties from transacting with Amazon businesses. The engineer will design, implement, and support scalable data infrastructure and pipelines using AWS big data technologies to integrate data from various sources, curate data for reporting, analysis, and machine learning models, and support real-time data pipelines. The role involves collaborating with other teams, researching new technologies, and developing dashboards. While the role mentions machine learning models, its core function is data engineering and infrastructure, not direct AI/ML model development or research. | — | 0 |
| Senior Business Intelligence Engineer, AMZL ORBIT This role is for a Senior Business Intelligence Engineer focused on performance measurement and management within Amazon Logistics. The engineer will lead a team in building analysis and visualization tools, retrieving, integrating, and presenting data to improve delivery network efficiency. Responsibilities include partnering with stakeholders, data engineering, and software development teams, conducting deep dives, analyzing large-scale logistics data, and developing queries and visualizations. The role requires strong analytical abilities, business acumen, and experience with large datasets and AWS technologies. | — | 0 |
| Business Analyst, Financial Risk Mitigation This Business Analyst role focuses on financial risk mitigation using machine learning and big data solutions. The responsibilities include reporting trends, identifying opportunities, creating optimization models, and ensuring data accuracy. While the role mentions ML and big data, the core function is business analysis and reporting, not direct AI/ML model development or deployment. | — | 0 |
| SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Software Development Engineer (SDE) role focused on pre-silicon hardware/software co-development for machine learning chips. Responsibilities include working with architecture and design teams, writing bare-metal software for verification, and ensuring end-to-end functionality of the SoC and its subsystems. Requires experience in embedded software, system development, or chip design. | — | 0 |
| DFT Design Engineer I, AWS Machine Learning Acceleration This role focuses on the design and optimization of hardware, specifically Design for Test (DFT) architectures, within Amazon's data centers. It involves RTL coding, verification, integration with design teams, and silicon debug, contributing to the development of custom chips and accelerators for AWS. | — | 0 |
| Sr. Software Engineer - EC2 Windows OS Technologies team, EC2 Windows Senior Software Development Engineer role focused on building and improving the EC2 Windows OS platform for enterprise customers on AWS. The role involves developing next-generation services, large-scale distributed systems, and optimizing performance for high-performance computing workloads. Responsibilities include system-level programming, driver development (user/kernel mode), architecture design, CI/CD improvement, and collaborating with various teams. While the team mentions 'machine learning powered troubleshooting services', the core of this role is in OS and systems engineering, not direct AI/ML model development. | — | 0 |