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 |
|---|---|---|
| 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 |
| Sr. Software Development Engineer (Tech Lead), Devices Sales & Customer Experience Sr. Software Development Engineer (Tech Lead) for Amazon Devices, focusing on building and scaling platforms and services for the customer shopping experience across various devices and channels. The role involves using machine learning, big data, and AWS technologies to enhance the customer journey from search to checkout, requiring strong technical expertise in distributed systems, object-oriented design, and system design. |
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| 0 |
| Transportation Planning Manager Program Manager for Amazon's Transportation Planning function, focusing on short-term planning, forecasting, flow control, and capacity management. The role involves defining, launching, and managing strategic programs to improve planning and forecasting, gathering requirements for network solutions, and managing technical integrations with various Amazon systems. Requires cross-functional collaboration, process improvement, and data analysis. | — | 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 Training Specialist (French Language), AGI-DS This role is for a Senior Training Specialist focused on facilitating blended learning for the AGI-DS organization, which deals with generative AI and LLMs. The responsibilities include planning, scheduling, coordination, and execution of training, tracking completion through an LMS, identifying areas for improvement, and driving innovation in training approaches. The role requires proficiency in both English and French, strong communication and organizational skills, and knowledge of adult learning practices. While the organization works with AI, the role itself is focused on training delivery and management, not direct AI/ML development. | — | 0 |
| Senior Software Development Engineer, Annapurna Labs Senior Software Development Engineer at Amazon's Annapurna Labs division, focusing on designing, developing, and optimizing mission-critical embedded software for cloud infrastructure. The role involves working on networking, machine learning acceleration, and high-performance computing (HPC) with custom silicon and innovative networking solutions at the intersection of hardware and software. | — | 0 |
| Senior Training Specialist (German Language), AGI-DS This role is for a Senior Training Specialist responsible for facilitating blended learning, managing training logistics, tracking completion via an LMS, and identifying areas for training improvement within the AGI-DS organization. The role involves developing and documenting processes to enhance training delivery and collaborating with stakeholders to ensure trainee success. | — | 0 |
| Data Centre Operations Manager (M4 Corridor), LHR Data Center Operations (DCO) This role is for a Data Center Operations Manager at Amazon Web Services (AWS) in London. The manager will be responsible for leading teams of technicians, maintaining and building data centers, optimizing operational processes, managing vendor relationships, and ensuring safety and security standards. The role requires strong people management skills, experience in IT environments, and knowledge of IT service management methodologies and financial budgeting. | — | 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 |
| Delivery Consultant - Security, Risk and Compliance, Professional Services This role focuses on designing, implementing, and managing AWS solutions for customers, with a strong emphasis on security, risk, and compliance. The consultant will act as a trusted advisor, providing technical expertise and guidance throughout the cloud journey, ensuring adherence to best practices and optimizing performance and risk management. The role involves leading complex projects, managing stakeholders, and promoting a culture of security within customer engagements. | — | 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 |
| Risk Manager I, Relay Product Excellence This role is for a Risk Manager on the Driver Identity Verification team at Amazon. The primary responsibilities include leading a team of investigators, overseeing risk reviews, developing employee performance, and driving process improvements to mitigate fraud and account takeovers. The role involves data analysis, reporting, and collaborating with global teams to enhance customer experience and protect Amazon from risk. While the team aims to leverage technology and data, the core function is risk management and operational leadership, not direct AI/ML model development. | — | 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 |
| Risk Manager I, Relay Product Excellence This role manages a team focused on driver identity verification and fraud prevention within Amazon's transportation logistics. It involves overseeing investigations, developing processes, managing metrics, and collaborating with global teams to mitigate risks and improve customer experience. The role requires strong analytical and leadership skills, with a focus on operational efficiency and data-driven decision-making. | — | 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 design, implementation, and delivery of large-scale distributed systems, influencing technical strategy, and collaborating with stakeholders. Responsibilities include owning projects, leveraging statistical evaluation and machine learning, and guiding technical decisions. The team manages Amazon's websites and backend platform services, abstracting management for internal service teams. | — | 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 |
| Risk Analyst , Relay Trust This role focuses on risk analysis within Amazon's Middle Mile Transportation Technology organization. The Risk Analyst will identify, interpret, and disseminate intelligence to protect customers and partners from fraudulent actors. Responsibilities include intelligence gathering, processing information, identifying vulnerabilities, and preparing intelligence products. The role requires strong analytical, problem-solving, and communication skills, with an emphasis on data-driven decision-making and influencing stakeholders. | — | 0 |
| Software Development Engineer, Ring Neighbors Software Development Engineer role at Amazon Ring Neighbors, focusing on building and operating large-scale cloud systems for a hyperlocal social networking app. The role involves shaping the definition, vision, design, roadmap, and development of core services, with a mention of a machine learning (ML) component ripe for future investment. The team uses Go, Python, AWS services, and works on backend services and web tools for internal customers. The primary focus is on software development, design, architecture, and cloud computing, with a future opportunity to invest in ML. | — | 0 |
| Finance Manager, Amazon Fulfillment Technologies Finance Manager to partner with Amazon Fulfillment Technologies (AFT) to drive future innovations. Responsibilities include financial and strategic analysis, developing recommendations, influencing business owners, and supporting decision-making in a fast-paced environment. Requires a Bachelor's degree in finance or related field and 5+ years of finance experience. | — | 0 |
| Sr. Programmatic Solutions Consultant, PSC - DE This role is a Senior Programmatic Solutions Consultant for Amazon Ads, focusing on managing the end-to-end experience for enterprise customers using the Amazon Demand Side Platform (DSP). The consultant will provide services like onboarding, training, and consultation, analyze data to identify improvements, and gather customer feedback to inform product development. The role requires extensive experience in programmatic advertising, client-facing consultative roles, and data analysis, with a focus on helping customers meet their business objectives using Amazon's advertising technologies. | — | 0 |
| Associate, ML Data Operations, GO-AI Operations This role involves auditing videos of stowing actions in Amazon Robotics fulfillment centers to ensure inventory accuracy and stow quality. The Associate will use human judgment and provided tools to verify product locations, requiring high attention to detail and accuracy. | — | 0 |
| Associate, ML Data Operations, GO-AI Operations This role involves auditing videos of stowing actions in Amazon Robotics fulfillment centers to ensure inventory accuracy and stow quality. It is an operational role focused on human judgment and data auditing. | — | 0 |
| Associate, ML Data Operations, GO-AI Operations This role involves auditing videos of robotic stowing actions in fulfillment centers to ensure inventory accuracy and stow quality. It's an operational role requiring attention to detail, speed, and accuracy in reviewing visual data. | — | 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 |
| SDE III, Prime Video Commerce Tech Software Development Engineer III role at Amazon Prime Video, focusing on the commerce tech platform that powers the global offer ecosystem. The role involves designing, developing, and deploying end-to-end solutions for distributed systems, security, concurrency, scalability, availability, durability, and performance engineering. The team manages the entire offer lifecycle, including TVOD rentals, purchases, channel subscriptions, and account sharing enforcement, aiming to deliver personalized and contextually relevant offers. The platform processes millions of daily transactions and supports numerous client services. While AI is mentioned for personalization and ranking, the core of the role is in building and scaling the commerce platform. | — | 0 |
| CXQO Associate, CXQO This role supports the backend non-technical operation of Amazon Go Stores by performing data collection tasks, adhering to SOPs, and participating in process improvement. It is not directly involved in AI/ML model development or deployment. | — | 0 |
| MLA IP Design Verification Engineer, Annapurna Labs The role is for a Design Verification Engineer focused on machine learning hardware in AWS data centers. Responsibilities include verifying hardware and software solutions, developing verification plans, and measuring progress. The role requires a Bachelor's degree and experience in design verification using System Verilog and UVM. | — | 0 |
| Software Development Engineer II, Amazon Software Development Engineer II at Amazon, focusing on designing and developing scalable financial systems and solutions for global financial transactions using AWS cloud technologies. The role emphasizes architectural design, software development, testing, deployment, and advocating for engineering best practices. While AI/ML experience is a plus, it is not the core focus of the role. | — | 0 |
| Senior Solutions Architect, AWS Private Equity This role focuses on helping Private Equity firms and their portfolio companies leverage cloud technologies, specifically AWS, to improve operations and build new solutions. The Solutions Architect will act as a trusted advisor, providing technical leadership and thought leadership to C-level executives and technical leaders, bridging the gap between business needs and technology solutions. The role involves educating clients on cloud capabilities, designing reference architectures, and influencing AWS's roadmap. While not directly building AI models, the role is within an enterprise AI context by helping businesses adopt advanced technologies. | — | 0 |
| System Development Engineer, Automation Integration Technologies System Development Engineer focused on integrating robotics and automation within Amazon's global fulfillment network. The role involves developing core machine control logic for industrial edge devices, designing system controls architecture, and integrating control systems with various hardware and software services. It requires experience with PLC-based controls, machine control code development, and a background in industrial automation. | — | 0 |
| Sr. Formal Verification Engineer, Annapurna Labs This role is for a Sr. Formal Verification Engineer focused on hardware design and optimization for cloud server infrastructure, including machine learning inference products like AWS Inferentia. The responsibilities involve developing formal verification plans, implementing and verifying IP architectures, and using formal methods and abstraction techniques. While the role touches on ML inference hardware, the core craft is hardware design and verification, not AI/ML model development or research. | — | 0 |
| Software Development Engineer, Last Mile Planning Software Development Engineer role focused on Last Mile Planning at Amazon, developing and owning software components for efficient and reliable package delivery. The role involves working with ML and Operations Research algorithms, but the core focus is on software engineering and delivery within the existing systems. | — | 0 |
| Trade Compliance PM, APAC, GTPC This role is a Trade Compliance Program Manager for AWS Security in the APAC region, focusing on import and export compliance for infrastructure equipment. The role involves building and owning compliance processes, managing stakeholder relations, providing guidance on trade activities, assisting with technology and hardware trade classification, and monitoring regulatory changes. It requires experience with customs and trade compliance, import/export operations, and leveraging technology for process improvements. | — | 0 |
| Amazon Robotics - 2026 Supply Chain Intern/Co-op, Robotics Supply Chain This is an internship/co-op role in Amazon Robotics focused on supply chain processes, including planning, sourcing, logistics, and systems. The role involves understanding and improving existing processes, leading automation projects, developing metrics, and supporting new product introductions within the supply chain organization. While the company utilizes AI and ML in its robotics, this specific role is centered on supply chain operations and business process improvement, not direct AI/ML model development. | — | 0 |
| Sr. Hardware Engineer - ML Acceleration, Annapurna Labs This role is for a Sr. Hardware Engineer focused on the design, definition, and validation of AWS's next-generation ML Chips and Cards, including server integration and PCIe/Serdes topics. The engineer will optimize hardware for data centers and work with cross-functional teams on large-scale server deployments. | — | 0 |
| Programmatic Solutions Consultant, Amazon Ads This role is for a Programmatic Solutions Consultant at Amazon Ads, supporting customers using the Amazon DSP. The consultant will manage the end-to-end customer experience, develop customer expertise in programmatic advertising, and work with clients and internal teams to meet business objectives. Responsibilities include onboarding, training, consultation, data analysis for recommendations, and gathering customer feedback for product evolution. The role requires experience in advertising technology, programmatic advertising, and client-facing consultative roles, with a focus on data analysis and relationship management. | — | 0 |
| Sr. Quantum Research Scientist, AWS Center for Quantum Computing Research Scientist role focused on developing and testing calibration and optimization tools for Quantum Error Correction on large-scale quantum processors within AWS. Requires a PhD in a relevant field, experimental experience in quantum computing, and expertise in multi-qubit system calibration and benchmarking. | — | 0 |
| Professional Services 인턴, A2C Internship opportunity at Amazon Web Services (AWS) focusing on cloud computing solutions. The role involves gaining hands-on experience, developing business acumen, and learning about Amazon's culture. Specializations include DevOps, Cloud Infrastructure Architecture, Application Development, Data & Analytics (potentially using ML/AI), and Security Consulting. The program offers professional development and the chance to obtain AWS certifications. | — | 0 |
| Principal Engineer, EC2 Principal Engineer on the EC2 Accelerated Nitro team, focusing on developing next-generation EC2 instance families by innovating in virtualization, hardware acceleration (GPUs, FPGAs), and cloud computing infrastructure. The role involves leading the design and architecture of core EC2 capabilities, advancing virtualization security, mentoring engineers, and influencing the future of cloud computing. Requires expertise in low-level system software and hardware acceleration. | — | 0 |
| Sr. Software Development Engineer, Annapurna Labs Senior Software Development Engineer at Amazon Annapurna Labs focused on compute sanitization for ML accelerators (Neuron). The role involves leading a technical team to develop tools for identifying hardware defects before customer impact, working closely with hardware, firmware, training, inference, and runtime teams. The goal is to ensure the functional correctness of ML hardware through pre-check and functional correctness checking suites. | — | 0 |