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 |
|---|---|---|
| Sr Business Intelligence Engineer, CLS Technology This role is for a Senior Business Intelligence Engineer at Amazon Logistics, focusing on designing and building automated reporting and dashboards from complex data to identify strategic initiatives. The role involves working with large datasets, SQL, and BI tools, and collaborating with various internal teams to deliver data-driven solutions. While the team aims to leverage technology to improve learning outcomes, the core function of this role is data engineering and business intelligence, not direct AI/ML model development. | — | 0 |
| Software Development Engineer, Nitro SSD Software Development Engineer role focused on designing, developing, and validating firmware for AWS-specific solid-state drives (SSDs). The role involves working with NAND vendors, controller vendors, and internal hardware/software teams to optimize SSD performance, reliability, and observability within the AWS environment. | — | 0 |
| Associate, ML Data Operations, GO-AI Operations |
| — |
| 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 |
| Design Verification Engineer, Annapurna ML This role is for a Design Verification Engineer focused on the hardware infrastructure for Amazon Web Services (AWS) data centers, specifically within the Cloud-Scale Machine Learning Acceleration team. The engineer will be responsible for verifying and validating hardware and software solutions, developing verification plans, and measuring progress towards customer metrics. The role emphasizes working with emergent technologies and improving product performance, quality, and cost. | — | 0 |
| MLA IP Design Verification Engineer, Annapurna Labs The role is for a Design Verification Engineer focused on machine learning hardware within Amazon's cloud server platforms. Responsibilities include verifying hardware and software solutions, developing verification plans, and measuring progress towards customer metrics. The role requires a Bachelor's degree in Electrical Engineering and experience in identifying and debugging bugs at various levels of logic. Preferred qualifications include a Master's degree and experience with formal verification techniques and specific ISAs. | — | 0 |
| Software Development Engineer, Last Mile Delivery Software Development Engineer role focused on Last Mile Technology within Amazon Logistics. The role involves building and optimizing systems for package delivery, route optimization, and fleet management, leveraging AI and machine learning. The primary focus is on the engineering and deployment of these systems into a customer-facing product. | — | 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 |
| Senior ProServe Sales Manager , Professional Services, Korea Senior ProServe Sales Manager for AWS Professional Services in Korea, leading a team to drive IT projects focused on cloud adoption and digital transformation. The role involves customer relationship management, sales strategy, team development, and ensuring customer satisfaction by translating technical concepts into business value. | — | 0 |
| Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers This role focuses on designing, developing, and operating AWS cloud offerings for AI/ML and HPC workloads, specifically involving accelerated servers for AI training and inference. The engineer will work with interdisciplinary teams and partners to bring these servers to data centers and oversee their performance and quality post-launch. | — | 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 |
| Sr Manager, Ad Programs, Ads Trust Support This role leads global Ad moderation and relevance quality operations, focusing on audit excellence, defect reduction, and advertiser experience. It involves overseeing human and machine judgment systems, managing advertiser appeals, and influencing product/policy roadmaps. The role also includes providing human-in-the-loop training data for ML models and managing a large global team. | — | 0 |
| Sr. Business Intel Engineer, Delivery Choices This role is for a Senior Business Intelligence Engineer at Amazon, focusing on Delivery Choices within the Delivery Experience organization. The primary responsibility is to analyze and deliver insights to improve customer experiences related to delivery options. The role involves working with large datasets, applying statistical analysis, and collaborating with business stakeholders to drive actions. Experience with SQL, data extraction, transformation, cleaning, design of experiments, statistical analysis, AWS technologies, Python scripting, information retrieval, data science, machine learning, and data mining is required. | — | 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 |
| System Development Engineer, Automation Integration Technologies System Development Engineer role focused on building and maintaining tools for automating the deployment, management, and monitoring of complex material handling systems, including conveyor networks, robotic workcells, and industrial control systems. The role involves innovating in building Human Machine Interfacing Platforms and a mission-critical equipment visualization platform, collaborating with various engineering teams and product managers. | — | 0 |
| AWS Security Assurance Services, Practice Manager, Saudi Arabia, AWS Security Assurance Services Practice Manager for AWS Security Assurance Services in Saudi Arabia, focusing on helping enterprise customers migrate to the cloud securely and meet compliance objectives. This role involves building and leading a team of consultants, engaging with customers (including C-suite), and supporting business development efforts. | — | 0 |
| Senior Process Engineer - 2nd Shift, RMTO - Process Engineering This role is for a Senior Process Engineer in Amazon Robotics' manufacturing and technical operations. The primary focus is on process optimization, cost reduction, and developing manufacturing/test processes for new product introductions. The role involves implementing technology improvements, performing process reviews, and writing operational planning documents. While the company works with AI and robotics, this specific role is centered on manufacturing process engineering, not direct AI/ML development. | — | 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 Industrial Engineer Intern/Co-op, Robotics Manufacturing and Technical Operations This is an internship/co-op role for an Industrial Engineer focused on robotics manufacturing and technical operations. The role involves managing projects, developing project schedules, managing risk registers, gathering and analyzing data for KPIs, and driving continuous improvement initiatives using lean principles. The position is within Amazon Robotics, which utilizes various automation technologies including machine learning, but the core function of this role is industrial engineering and project management within a manufacturing environment. | — | 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 |
| Amazon Robotics - 2026 Robotics Systems Engineer Intern/Co-op, Robotics Deployment Engineering This role is for an intern/co-op on the Robotics Deployment Engineering team at Amazon Robotics. The primary responsibilities involve overseeing the installation, troubleshooting, integration, and commissioning of Amazon Robotics equipment in fulfillment centers. This field engineering role requires strong technical skills in mechanical, electrical, and networking systems, as well as software configuration. The candidate will collaborate with various internal and external stakeholders, develop technical documentation, and drive continuous improvement initiatives. The role involves significant travel and requires a foundational knowledge of robotics and networked systems. | — | 0 |
| Amazon Robotics - 2026 Process Engineer Intern/Co-op, Robotics Manufacturing and Technical Operations This is an intern/co-op position for a Process Engineer within Amazon Robotics, focusing on manufacturing process optimization, data collection, cycle time studies, root-cause analysis, and creating training modules. The role involves creating business process models, gathering requirements, researching production system issues, supporting supplier improvements, and participating in Lean initiatives. While the role is within Amazon Robotics and mentions machine learning and computer vision as technologies used by the broader team, the core responsibilities of this specific intern role are focused on process engineering and optimization, not direct AI/ML model development or deployment. | — | 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 |
| Programmatic Solutions Consultant, PSC - US This role is for a Programmatic Solutions Consultant at Amazon Ads, focusing on supporting enterprise customers with the Amazon DSP. The consultant will manage customer relationships, provide training and consultation, analyze data for recommendations, and gather customer feedback to influence product development. The role requires experience in advertising technology and programmatic advertising, with a focus on client-facing consultative services and data analysis. | — | 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 |
| Sr. Systems Development Engineer, Region Services This role is for a Sr. Systems Development Engineer on the AWS Region Services team in Sydney, Australia. The role involves deploying and operating in a Linux/Unix environment, systems development, design, software development, operations, automation, and process improvement. While the team works with cloud computing, AI, and ML, the core responsibilities of this specific role are focused on systems engineering and operations rather than direct AI/ML model development or deployment. | — | 0 |
| Senior Business Intelligence Engineer, AMXL JP Senior Business Intelligence Engineer role focused on designing and implementing data pipelines, automated reporting, and BI infrastructure using AWS and internal tools. The role involves owning analytics strategy, developing metrics frameworks, and mentoring junior team members within the AMXL Japan logistics network. | — | 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 |
| Professional Services 신입사원, A2C Entry-level role for recent graduates to join the AWS Professional Services team, focusing on cloud computing, business acumen, and AWS culture. Specializations include DevOps, Cloud Infrastructure, Application Development, Data & Analytics (potentially using ML/AI), and Security. | — | 0 |
| Principal Professional Services Sales Executive, AWS Professional Services Energy Sales role for AWS Professional Services focused on the Energy industry, responsible for engaging customers in IT Strategy, distributed architecture, hybrid cloud operations, and business transformation projects. The role involves understanding customer business outcomes, identifying AWS Professional Services offerings, creating proposals, and ensuring customer sign-off on SOWs. Performance is measured by revenue, billable bookings, and customer satisfaction. | — | 0 |
| Delivery Practice Manager Delivery Practice Manager for AWS Professional Services, focusing on managing early-in-career talent (Associate Consultants) and leading them to deliver transformative IT projects for enterprise customers. Responsibilities include team building, strategic advisory, P&L management, business development, and ensuring on-time, within-budget project delivery. | — | 0 |
| Principal ProServe Account Executive , Professional Services, Korea This role is for a Principal ProServe Account Executive at Amazon Web Services (AWS) in Korea. The primary responsibility is to engage with customers, understand their business needs, and sell AWS Professional Services offerings to help them achieve their desired business outcomes through cloud adoption. The role involves business development, proposal creation, securing SOW sign-offs, and ensuring successful project delivery and customer satisfaction. Performance is measured by revenue, bookings, and CSAT. | — | 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 |
| Software Development Manager, Foundations Software This role is for a Software Development Manager at Amazon responsible for building and supporting a team that provides compute sanitization for the Neuron ML accelerators fleet. The team develops and maintains pre-check and functional correctness checking suites to identify hardware defects before customer impact, and provides fleet-level visibility into hardware/software sanitization trends. The manager will work closely with hardware, firmware, and runtime teams, collect requirements from training and inference teams, and anticipate future needs based on the product roadmap. | — | 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 |
| Senior Business Intelligence Engineer, AMXL JP Senior Business Intelligence Engineer role at Amazon's AMXL Japan, focusing on building and operating reports, dashboards, and applications to support a large e-commerce logistics business. The role involves setting strategic priorities, delivering BI solutions, ensuring engineering and operational excellence, defining metrics, and delivering BI solutions for complex problems. Requires experience in SQL, data extraction/transformation, statistical analysis, scripting (Python), and information retrieval/data science/machine learning/data mining. | — | 0 |
| Technical Account Manager, National Security - ES US-ADC Technical Account Manager (TAM) for National Security customers within AWS Enterprise Support. Focuses on strategic technical guidance, driving adoption of AWS services, and managing customer relationships. Requires TS/SCI clearance. | — | 0 |
| Senior Technical Program Manager - Software, AWS Center for Quantum Computing Senior Technical Program Manager to support software development efforts for quantum hardware fabrication and operation. The role involves planning and executing projects to develop tools for data ingestion, testing acceleration, and streamlining operations, aiming to drive efficiency and accelerate hardware development. It requires navigating ambiguity, making data-informed decisions, and contributing to project management standards. | — | 0 |
| Cloud Operations Architect , AWS Enterprise Support CEE Role is for an AWS Cloud Operations Architect focused on helping enterprise customers maximize value from AWS services. This involves crafting and executing adoption strategies, providing architectural advice, and ensuring operational health while reducing cost and complexity. The role partners with customers to understand their needs and challenges, drives technical discussions, and collaborates with various AWS teams. | — | 0 |
| Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning This role focuses on the physical design methodology for ASIC chips used in AWS's machine learning servers, specifically AWS Inferentia and Trainium Systems. The engineer will define, develop, and optimize RTL2GDS flows, work with EDA tools, and improve cloud infrastructure utilization for physical design tasks. The role requires expertise in ASIC physical design, CAD flows, and scripting languages, with a focus on PPA and TAT improvements. | — | 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 |
