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 1109 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1575 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), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). 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 (1022 roles), Canada (59 roles), United Kingdom (49 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 683 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Global Category Manager - Electric Panels and Racks, Electromechanical Strategic Sourcing Team This role is for a Sr. Global Category Manager focused on electrical control panels and racks within Amazon's Robotic Delivery & Packaging Innovation (RDPI) organization. The position requires a strong technical background in panel manufacturing, regulatory compliance, and electrical systems engineering, with expertise in global supplier management, new supplier introduction, and supplier development. The candidate will engage in Value Analysis and Value Engineering (VAVE) and DFx exercises, provide technical feedback to design groups, and support design decisions. The role involves translating technical specifications into sourcing strategies, managing supplier relationships and contracts, driving cost optimization, risk mitigation, and lead-time reduction, and owning supplier performance management. Collaboration with engineering, operations, and program teams is essential. | — | 0 |
| ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team The role is for an ASIC Design Engineer on the Cloud-Scale Machine Learning Acceleration team at Amazon Web Services (AWS). The team designs custom silicon and software that accelerates innovation, specifically focusing on hardware for AWS Machine Learning servers, including AWS Inferentia, a custom machine learning inference datacenter server. The engineer will be responsible for the design and optimization of this hardware, tackling challenges at massive scale and integrating emergent technologies. |
| — |
| 0 |
| Senior Research Scientist, Survey Methods, Amazonian Leadership Experience This role is for a Senior Research Scientist focused on survey methods within Amazon's HR technology team. The primary responsibilities involve designing and executing surveys, analyzing survey and other data using statistical and econometric methods (including regression, weighting, and imputation), and conducting methodological research to improve data quality. The role collaborates with economists, engineers, and computer scientists to address business questions related to employee experience, attrition, engagement, and inclusion. While machine learning is mentioned as a preferred qualification, the core of the role is in traditional survey science and statistical analysis, not AI/ML model development. | — | 0 |
| Senior SDE, OMHS SCS Software Development Engineer role focused on integrating robotics and automation within Amazon's global fulfillment network, specifically on edge compute solutions for industrial automation. The role involves the full software development cycle, from scoping to delivery, working across multiple layers of the stack from low-level controls to cloud solutions. | — | 0 |
| Software Dev Engineer II, OMHS SCS Software Development Engineer II role focused on building edge compute solutions for industrial automation applications within Amazon's fulfillment network. The role involves integrating hardware and software, developing CI/CD pipelines, validating solutions, and working across multiple layers of the technology stack from low-level controls to cloud-based systems. | — | 0 |
| Software Dev Engineer II, OMHS SCS Software Development Engineer II role focused on building edge compute solutions for industrial automation applications within Amazon's fulfillment network. The role involves integrating hardware and software, developing CI/CD pipelines, validating solutions, and working across multiple layers of the technology stack from low-level controls to cloud-based systems. | — | 0 |
| Software Development Engineer II, OMHS SCS Software Development Engineer II role focused on building edge compute solutions for industrial automation within Amazon's fulfillment network. The role involves integrating hardware and software, developing CI/CD pipelines, and working across the full software development lifecycle from low-level controls to cloud interfaces. | — | 0 |
| Sr. Delivery Cons- Connect, Professional Services This role is for a Sr. Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, focusing on cloud journeys and providing technical expertise. Responsibilities include architecting scalable solutions, proposing migration strategies, acting as a trusted advisor on industry trends, and leading implementation processes. The role requires experience in cloud architecture, contact center technology platforms, and designing NLP/NLU solutions using conversational AI frameworks. Basic qualifications include a Bachelor's degree, 5+ years in cloud architecture and implementation, 5+ years in contact center technology, and 3+ years in NLP/NLU solutions and API integrations. Preferred qualifications include knowledge of security standards like HIPAA and GDPR, AWS experience, certifications, and automation/scripting skills. | — | 0 |
| ERP Solution Architect, Amazon Robotics Business Applications and Solutions Engineering This role is for an ERP Solution Architect focused on designing and implementing controls for Enterprise Resource Planning (ERP) systems, specifically SAP technologies. While it mentions experience with Generative/Agentic AI in the context of non-SAP technologies for design and build, the core function of the role is ERP system architecture and implementation, not direct AI/ML model development or deployment. | — | 0 |
| Senior Product Manager - Technical (Payments), Amazon Prime Senior Product Manager, Technical for Amazon Prime Payments, focusing on payment method expansion, roadmap management, and unlocking member growth. This role involves defining strategy, leading ideation, design, development, and ongoing management of Prime payments strategy, working cross-functionally with engineering, design, finance, legal, and other teams. | — | 0 |
| Principal Security Sales Rep This role is a Principal Security Sales Representative for AWS North America, focused on driving revenue growth for AWS Security Services. The representative will be the primary seller for AWS Security opportunities, building CISO relationships and identifying AI Security demand across the SDLC. The role involves originating, developing, and closing security deals, owning the security strategy, pipeline, and revenue. Key responsibilities include pipeline development through outbound prospecting, executing sales plays for new AI applications, and driving competitive displacement. The role also requires engaging on board-level security concerns, positioning AWS as a strategic security platform partner, and demonstrating deep knowledge of the AWS Security portfolio. Collaboration with Account Managers is essential, with the sales rep leading security origination and strategy. The role is part of a pioneering team shifting to a proactive, quota-carrying hunter motion. | — | 0 |
| Data Analyst Transp - FM, Pickup, First Mile Data Analyst role at Amazon focused on transportation and logistics, requiring proficiency in Excel, SQL, and Python for data analysis and process improvement. The role involves cross-functional collaboration and tracking business performance. | — | 0 |
| Sr. Business Development Mgr., Global Vendor Management (GVM) This role is a Senior Business Development Manager focused on global vendor management for Amazon. The primary responsibilities involve building relationships with senior executives from global vendors and internal Amazon teams to drive mutual business growth. The role requires strong business judgment, executive communication skills, and the ability to identify and pursue business opportunities. While the role mentions using and recognizing opportunities for generative AI tools to enhance workflow efficiency and products, it is not the core craft of the role. | — | 0 |
| Pr ProServe Account Executive - Financial Services, NAMER FINANCIAL SERVICES This role is for a ProServe Account Executive at Amazon Web Services (AWS) focusing on the Financial Services sector. The primary responsibility is to engage with customers to understand their business needs and drive transformative projects involving IT strategy, cloud operations, and hybrid cloud solutions. The role involves building trust, identifying relevant AWS Professional Services offerings, creating proposals, securing SOW sign-offs, and ensuring successful project delivery to meet agreed customer business outcomes. Performance is measured by revenue, bookings, and customer satisfaction. The role requires experience in selling services within the technology/consulting sector, translating technical concepts into business value, and managing CRM systems. | — | 0 |
| Process Engineer, Process Engineering Process Engineer for Amazon Logistics (AMZL) in Japan, focusing on standardizing and optimizing the last-mile delivery network. The role involves driving process innovations, developing equipment, creating infrastructure design standards, and managing cross-functional projects to improve safety, customer experience, productivity, quality, and cost. | — | 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 delivery station operations, including budget, people development, and operational objectives. While the role mentions the use of AI and GenAI tools to enhance decision-making and efficiency, the core responsibilities are in operations management, not in building or developing AI/ML models. The role aims to ensure efficient and cost-effective delivery of orders to customers. | — | 0 |
| Program Manager, Retail Business Service This role is for a Program Manager in Amazon's Retail Business Services (RBS) team. The team develops automation that leverages Machine/Deep Learning to scale execution of complex tasks. The Program Manager will manage business and data processes, drive programs, analyze data, and liaise with tech and data engineering teams. The role requires experience in program management, cross-functional collaboration, and process improvement using data and metrics. While the team uses ML/DL, the role itself is focused on program management and process improvement, not direct AI/ML development. | — | 0 |
| Sr. Analytics Program Manager, MMPO This role is for a Sr. Analytics Program Manager within Amazon's Middle Mile Transportation Technology team. The primary focus is on program management for supply optimization, process improvement, and generating business insights through advanced analytics and data visualization. While the team leverages ML and optimization techniques, this specific role is centered on program management and data analysis rather than direct AI/ML model development or deployment. | — | 0 |
| Senior Applied Scientist, Amazon Robotics - Vulcan Stow Senior Applied Scientist role focused on the motion stack for a robotic stowing system, involving real-time control, manipulation, motion planning, and safety. The role requires C++ and Python development, technical leadership, and collaboration across teams to deliver production-level robotic features at scale. | — | 0 |
| Delivery Consultant - Application Development, AWS ProServe This role is for a Delivery Consultant on the AWS ProServe team, focusing on designing, implementing, and managing AWS solutions for customers. The consultant will provide technical expertise, guide customers through their cloud journey, and act as a trusted advisor on industry trends and emerging technologies. Responsibilities include gathering requirements, proposing migration strategies, leading implementation, optimizing performance, and managing risks. | — | 0 |
| Risk Analyst , Relay Trust The Risk Analyst role at Amazon's Middle Mile Transportation Technology organization focuses on identifying, interpreting, and disseminating intelligence to protect customers and partners from fraudulent actors. This involves data gathering, analysis of threats and vulnerabilities, and preparing intelligence products to influence decision-making and thwart emergent threats. The role requires strong analytical, problem-solving, and communication skills, with an emphasis on proactive problem-solving and stakeholder influence. | — | 0 |
| Senior Solutions Architect, WWPS ISV This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focused on ISV Partners in the Enterprise Resource Planning (ERP) and Human Capital Management (HCM) space. The primary responsibilities include owning the technical engagement and success of implementation projects, defining architectures, responding to RFPs, developing expertise in AWS technologies, and acting as a subject matter expert on security. The role also involves developing thought leadership content, mentoring junior SAs, and influencing the AWS service roadmap based on customer feedback. While the role mentions 'Data & AI on AWS', the core function is cloud architecture and customer enablement, not direct AI/ML model development. | — | 0 |
| Sr. Sales Manager, Migrations Technology, FSI This role is for a Senior Sales Manager at Amazon Web Services (AWS) focusing on Financial Services (FSI) migrations and storage solutions. The individual will lead a specialist sales team, develop go-to-market strategies, build customer relationships, and drive revenue by positioning AWS as the preferred cloud provider for customer workloads. The role requires strong leadership, sales acumen, and experience in cloud infrastructure and enterprise applications. | — | 0 |
| Software Development Manager, Execution Planning, Last Mile Planning Manage a software development team focused on route and plan optimization for Amazon's last-mile delivery operations, utilizing ML and OR algorithms to improve efficiency and reliability. | — | 0 |
| Program Manager (12-month contract), Event and Deals team- Japan Program Manager for Amazon's JP Events and Deals team, focusing on defining event objectives, driving strategic programs, and improving operational efficiency. The role involves collaboration with various stakeholders, analyzing performance data, and building event playbooks. While the company utilizes AI/GenAI tools to enhance operations and decision-making, this role is not directly involved in building or shipping AI models. | — | 0 |
| Data Analyst, AMET Central Data Analytics team The Data Analyst role focuses on developing data collection processes, managing data systems, designing queries, generating reports in SQL, charting data, developing dashboards using Amazon Quicksight, and automating analysis with Python. The role supports business decision-making by providing analytical support and insights into quality defects and inventory adjustments, working closely with ICQA, Learning, and Finance departments. It involves preparing reports for business reviews and supporting leadership in interpreting data trends. Basic qualifications include strong analytical skills, attention to detail, effective communication with various functional groups, project management experience, and familiarity with AWS technologies like Redshift, S3, and Glue. Preferred qualifications mention experience with training and deploying machine learning systems, but this is not the core focus of the role. | — | 0 |
| Program Manager, SPCtS UDE Program Manager for Financial Disputes - Upstream Defect Elimination program within Retail Business Services (RBS) at Amazon. This role focuses on improving customer and selling partner experience by identifying and eliminating defects in the Procure to Pay cycle, leveraging machine learning where applicable. The Program Manager will drive VX improvements, reduce financial disputes and costs, and collaborate with various teams to build solutions. Key responsibilities include managing programs, designing scalable solutions, securing resources, owning program communication, influencing strategic processes, and developing KPI reporting. Requires strong leadership, problem-solving, and communication skills, with experience in program management, process improvement, and data analysis. | — | 0 |
| Software Dev Engineer II, GlobalLogistics-FBAImport-Corp, GlobalLogistics-FBAImport-Corp Software Development Engineer II role focused on building and maintaining the platform for Amazon's global transportation network. Responsibilities include designing and implementing features, working with AWS services, building data pipelines, and ensuring system reliability. The role involves understanding business context, participating in reviews, on-call rotations, and mentoring junior engineers. While the team works with ML and GenAI, this specific role is primarily focused on software engineering for logistics and network management. | — | 0 |
| Product Marketing Manager, Social Marketing Product Marketing Manager for Social Marketing at Amazon, focusing on developing and executing social marketing campaigns. The role involves creative strategy, trend-driven content, and creator-led advertising, connecting customers to relevant products through engaging social experiences. Responsibilities include developing social-first creative concepts, monitoring trends, partnering with creator teams, managing creative workflows, and tracking performance. | — | 0 |
| Data Quality Specialist - German, AGI Data Services - G T Quality This role focuses on establishing and maintaining quality frameworks for operations, defining quality metrics, creating actions for quality issues, analyzing data trends, and partnering with teams to optimize workflow quality. It involves monitoring performance, handling escalations, and suggesting improvements for quality tools and processes. While the company mentions AI and LLMs, this specific role is centered on data quality and operational excellence, not direct AI/ML model development or research. | — | 0 |
| Senior Specialist Solutions Architect, Communications Development Services This role is a Senior Specialist Solutions Architect focused on Communications Development Services within AWS. The primary responsibilities include providing technical thought leadership, designing and delivering technical workshops, creating best practices documentation, and directing AWS Solutions Architects and Sales teams to drive customer outcomes in multi-channel communication strategies (email, SMS, WhatsApp, push notifications). The role requires extensive experience in security and compliance, cloud services, and communication platforms, with a focus on helping customers safely transition workloads to the cloud. | — | 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 II (Machine Learning), Translation Services Software Development Engineer to drive innovations in translation services at Amazon scale, aiming to make translations a no-op for developers and ensure secondary language experiences match primary language excellence. | — | 0 |
| Sr BIE, NonSort, Supply Chain Execution This role focuses on building and maintaining metrics, creating analytical tools, and driving strategy improvements through data modeling and analysis within Amazon's Supply Chain Placement team. It involves collaboration with various teams to optimize product spread, enhance selection, and reduce delivery distances. The role requires strong analytical skills, experience with large datasets, statistical analysis, and automation, with a focus on improving supply chain efficiency and cost. | — | 0 |
| Sr Strategic Supply Chain Manager, Softlines This role is a Senior Strategic Supply Chain Manager focused on optimizing Amazon's supply chain operations for Softlines in Canada. It involves leading high-impact projects, collaborating cross-functionally, driving business growth, and improving operational metrics. The role requires strong analytical capabilities, end-to-end supply chain strategy experience, and the ability to manage complex data sets and influence teams. While the role mentions using generative AI tools to enhance workflow efficiency and evaluating prompting practices, the core responsibilities are in supply chain management, not AI/ML development. | — | 0 |
| TIPM, AI Data Center Network Build, MLZ BaND Technical Program Manager for AWS's AI Data Center Network Build team, responsible for end-to-end network delivery across US data center builds for ML workloads. This role involves coordinating construction, deployment, and validation of network infrastructure, working with network engineers, data center construction teams, and supply chain to ensure timely and accurate delivery of production fabric readiness for AI services. | — | 0 |
| System Development Engineer II, ReCommerce System Development Engineer II for Amazon's Worldwide Returns & ReCommerce team, focusing on developing software systems, automation, and monitoring solutions to improve operational excellence and resolve production issues. The role involves the full software development lifecycle, from design to operations, within a mature enterprise environment. | — | 0 |
| Solutions Architect, EdTech, WWPS Solutions Architect for EdTech within AWS, focusing on helping customers adopt cloud computing solutions and services, including Generative AI. Responsibilities include technical engagement, architecture design, RFP response, and thought leadership. | — | 0 |
| Sr. Account Executive Software/SaaS/ISV Sales, AWS Aotearoa / New Zealand This role is a Sr. Account Executive for AWS in New Zealand, focusing on strategic ISV accounts. The primary responsibility is to drive the adoption of AWS services, including Generative AI and agentic AI capabilities, to accelerate customer software innovation and business growth. The role involves engaging with C-level executives, product teams, and business stakeholders to promote AWS services and help customers modernize applications and scale SaaS offerings. | — | 0 |
| Business Development Manager, Consumer Electronics and Entertainment Media This role focuses on business development and strategic initiatives within Amazon's Consumer Electronics and Entertainment Media team. The manager will work with cross-functional teams to enhance value, selection, and convenience for customers, leveraging data-driven analytics to drive business growth. While the role involves using AI tools for workflow efficiency and identifying opportunities for AI enhancement, the core responsibilities are in business development, partnership management, and driving sales, not in building or researching AI models. | — | 0 |
| Senior Business Intel Engineer, Amazon Global Logistics Senior Business Intelligence Engineer for Amazon Global Logistics (AGL) in APAC. Responsible for building data pipelines, identifying growth opportunities, alerting risks, data mining for GTM planning, market competitiveness analysis, and validating product feature ramp-up requests. Mission is to scale AGL's market adoption through data-driven hypotheses, ROI governance, and automation of growth workflows. | — | 0 |
| Data Engineer II (Generative AI - Salesforce Tech), IN Data Engineering & Analytics Data Engineer II role focused on building data infrastructure and ETL pipelines for Amazon India businesses, leveraging AWS technologies. The role involves partnering with business owners to identify improvements and automation opportunities. | — | 0 |
| Systems Engineer, Managed Operations, Managed Operations The Systems Engineer, Managed Operations role at Amazon Web Services (AWS) focuses on building, operating, and evolving operations for high-availability AWS services within the European Sovereign Cloud (ESC). This role involves overseeing the operations and expansion of ESC, collaborating with global AWS teams, and influencing service evolution. Responsibilities include ensuring availability, reliability, latency, performance, and efficiency, with occasional on-call rotations. The position is part of the Utility Computing (UC) organization, supporting various AWS services for EU customers requiring specialized security solutions. | — | 0 |
| Business Intelligence - ND, Network Design Insights This role focuses on building and maintaining analytical frameworks, dashboards, and data pipelines for Amazon's transportation network design. The goal is to drive data-driven decision-making by measuring the impact of network design on key performance indicators like delivery speed, attainment, and cost. The role supports flagship programs and requires strong technical skills in data analysis and visualization, along with an understanding of logistics systems. | — | 0 |
| SAP Solution Architect, WWPS Global ISV Partners This role focuses on designing and architecting SAP solutions on AWS for public sector customers, with an emphasis on regulated environments. It involves technical leadership across the full lifecycle, including pre-sales, implementation, migration, and optimization. The role also requires building stakeholder relationships, supporting RFPs, mentoring junior architects, and staying current on SAP technologies and cloud modernization trends. While AI services are mentioned, the core function is SAP solution architecture within a regulated cloud environment. | — | 0 |
| Sr. Partner Marketing Manager, NAMER Partner Marketing This role is for a Senior Partner Marketing Manager at Amazon Web Services (AWS) focused on building awareness, creating demand, and driving revenue with Global System Integrator (GSI) and Multi-national SI/Consulting Partners in North America. The manager will develop and execute strategic marketing plans, design and implement demand generation programs, manage marketing budgets, and collaborate with sales teams to acquire new customers and meet account objectives. Experience in data-driven marketing, cross-functional program execution, and managing partner relationships is essential. | — | 0 |
| Sr. Specialist Solutions Architect - Communications Development Services, CDS, AWS WWSO ProdApps EUC&Other This role is for a Sr. Specialist Solutions Architect within AWS WWSO ProdApps EUC&Other, focusing on security and compliance for customers transitioning workloads to the cloud. The individual will provide technical thought leadership, advise on strategic outcomes, and work with sales and partner teams to drive customer success in areas like email, SMS, and WhatsApp communication strategies. Experience in regulated industries is a plus. | — | 0 |
| Senior Delivery Consultant, WWPS ProServe Senior Delivery Consultant for AWS ProServe, focusing on designing, implementing, and managing AWS solutions for customers. Requires strong software/systems engineering, coding, automation, and architecture skills, with a focus on driving customer success throughout their cloud journey. The role involves collaborating with stakeholders, providing technical guidance, and acting as a trusted advisor on emerging technologies. | — | 0 |
| Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs This role focuses on the hardware development of AI accelerator compute systems, specifically for AWS Trainium and Project Rainier. The engineer will be responsible for system design, validation, and integration of hardware in data centers, working with custom silicon designed for high-performance AI training. The role involves leading hardware development projects, optimizing hardware for AI workloads, and collaborating with cross-functional teams. | — | 0 |
| Sr. Technical Program Manager, AWS Manufacturing This role is for a Sr. Technical Program Manager within AWS Infrastructure Services, focusing on Manufacturing Automation and Robotics. The individual will be responsible for developing and deploying robotic assembly and automation solutions for AWS rack fulfillment manufacturing sites. This involves analyzing hardware requirements, working with suppliers to develop and scale automation solutions for various hardware platforms, and ensuring manufacturing infrastructure scales efficiently and reliably. The role requires strong leadership, influencing skills, and technical depth to establish manufacturing standards and process control guidelines. | — | 0 |