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 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 |
| 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. |
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| Ads Account Manager III - AMZ12956.8 This role is for an Ads Account Manager III at Amazon Advertising. The primary responsibilities include managing relationships with programmatic trading desk managers, providing customer support and training, analyzing data to provide recommendations, and collaborating with internal teams to drive product evolution. The role requires experience in programmatic advertising, media strategy, campaign recommendations, performance analysis, and programmatic advertising technologies. | — | 0 |
| Sr. Manager, Commercialization, Recipe Systems & Product Development This role is for a Sr. Manager of Commercialization, Recipe Systems & Product Development in the food manufacturing sector. The primary focus is on leading cross-functional programs for end-to-end commercialization, recipe management, and product development. Key responsibilities include developing commercialization strategies, managing recipe systems, ensuring data integrity and quality, leading scale-up trials, and overseeing shelf-life validation. The role requires expertise in food science, manufacturing, and regulatory compliance to deliver scalable, high-quality food products. | — | 0 |
| Senior Software Development Engineer, Annapurna Labs Senior Software Development Engineer at Amazon's Annapurna Labs, focusing on designing, developing, and optimizing mission-critical embedded software for cloud infrastructure, including networking, ML acceleration, and HPC. Requires strong C/C++ and embedded systems experience, with preferred qualifications in networking protocols, AWS, and hardware/software co-design. | — | 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 |
| Embedded Software Engineer, EFA Annapurna Labs Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure, working on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions. | — | 0 |
| Embedded Software Engineer, EFA Annapurna Labs Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure, focusing on networking, machine learning acceleration, and high-performance computing (HPC). | — | 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 |
| Principal Tech Program Manager, Quick Commerce This role is for a Principal Technical Program Manager at Amazon, focused on owning the strategic roadmap for end-to-end supply chain technology systems within Quick Commerce. The role involves identifying architectural gaps, driving convergence with other retail tech, managing a portfolio of supply chain systems, and influencing senior leadership. Key responsibilities include strategic planning, complex problem-solving in ambiguous domains, cross-organizational coordination, and leadership/mentorship. While the role mentions leveraging Generative AI to simplify workflows, the core function is program management within supply chain technology, not direct AI/ML development. | — | 0 |
| Vendor Manager, Canada Consumables Vendor Manager for Amazon Canada Consumables, focusing on improving value, selection, and convenience for vendors and customers. The role involves P&L management, vendor negotiations, new product launches, and defining growth strategies. It offers exposure to various business functions within Amazon's General Management career path. | — | 0 |
| Operations Manager, AGI Data Services Operations Manager for AGI Data Services team supporting image and video ML technology. Responsibilities include managing teams, ensuring data quality and accuracy, optimizing productivity, and partnering with research teams. Requires experience in fast-paced operations, analytical skills, and process improvement. | — | 0 |
| Software Dev Engineer, eero Software Development Engineer role focused on improving mesh and client connectivity for eero WiFi routers, involving embedded systems, board bring up, and feature delivery. Requires C/C++ proficiency and a Bachelor's/Master's in CS/CE. AI/ML experience is preferred but not core. | — | 0 |
| System Integration Lead, Nitro team Lead engineer for cloud platform system integration, focusing on hardware and software, including architecture, thermal/power, signal integrity, boot flows, debugging, firmware updates, health monitoring, and fleet-level debugging. Drives product development from architecture to deployment, defines integration methodologies, and applies emerging technologies. | — | 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 |
| Sr. Technical Program Manager, Workforce Solutions - Talent Mobility This role is for a Sr. Technical Program Manager focused on building and delivering employee engagement technology products within Amazon's Workforce Solutions team. The role involves managing cross-functional technical programs from ideation to delivery, influencing technical design, and ensuring global product rollout. While the team's mission involves an "AI-powered platform" and preferred qualifications mention "Generative AI technologies," the core responsibilities of the TPM are program management, not direct AI/ML model development or research. | — | 0 |
| Senior Manager, Investor Management, AWS Startup Investor Manager EMEA This role is for a Senior Manager within AWS Startup Investor Management for EMEA. The primary focus is on working with venture capital firms and early-stage startups to help them leverage AWS cloud infrastructure for growth and innovation. The role involves driving AWS market and technical strategy within the startup ecosystem, acting as a technical and business advisor to portfolio companies, and leading cross-functional teams to develop growth acceleration programs. While the role mentions understanding emerging technologies like generative AI, its core function is business development and strategic partnerships within the startup and investment community, not direct AI/ML development or research. | — | 0 |
| Planning Program Manager, Ultrafast delivery This role is for a Program Manager focused on architecting the future of Amazon's ultra-fast delivery network. It involves strategic roadmap ownership, launch planning, optimizing operations (UTR/OTR), and channel strategies to balance speed and cost-efficiency. The role acts as a bridge between business strategy and operational reality, leveraging AI and GenAI tools to enhance decision-making and operational efficiency. Key responsibilities include capacity and resource planning, channel and delivery strategy development, defining requirements for next-generation planning tools (like automated routing and AI-driven inventory placement), and owning the 'Cost-to-Serve' roadmap through structural improvements. | — | 0 |
| Business Intelligence Engineer, Operational Risk & Compliance, AMET This role focuses on building data pipelines, creating metrics decks, performing advanced statistical analysis, and measuring the success of classification models. It requires strong skills in SQL, data engineering, statistical analysis (hypothesis testing, A/B testing), and scripting for automation, with experience in information retrieval, data science, and machine learning. | — | 0 |
| Senior Program Manager, Sub Same-Day This role is for a Senior Program Manager focused on expanding and optimizing Amazon's Sub Same-Day (SSD) delivery network in Japan. The responsibilities include managing initiatives for new integrations at SSD sites, leading continuous improvement efforts, driving scalable improvements across fulfillment centers, supply chain, and last-mile delivery, and partnering with various functional teams to ensure best-in-class speed, coverage, and customer experience. The role requires strong analytical skills, project management experience in logistics, and the ability to influence stakeholders. | — | 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 |
| Sr. Business Intelligence Engineer, AMZL ORBIT This role is for a Sr. Business Intelligence Engineer focused on performance measurement and management within Amazon Logistics. The primary responsibilities involve leading a team to build analysis and visualization tools, retrieving, integrating, visualizing, and presenting data to improve delivery network efficiency. The role requires strong analytical abilities, business acumen, and experience with large-scale data and AWS technologies. While the role mentions "data science, machine learning and data mining" in basic qualifications, the core function is business intelligence and data analysis, not direct AI/ML model development or deployment. | — | 0 |
| Data Centre Operations Manager (Hayes), LHR Data Center Operations (DCO) Manages data center operations, including teams, maintenance, new builds, process improvement, vendor and internal team relations, and adherence to health and safety standards. Requires people management experience in an IT environment, knowledge of incident/problem/change management, and financial budgeting. | — | 0 |
| Data Engineer, Strategic Account Services This role is for a Data Engineer focused on building and maintaining data foundations, designing and implementing scalable data architectures, creating reliable data pipelines, and establishing data standards. The role involves working with big data technologies and cloud computing to enable advanced analytics and machine learning capabilities. | — | 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 |
| Design Verification Engineer - technical lead, Annapurna Labs Design Verification Engineer for AWS custom silicon, focusing on high-speed I/O and scale-up/out components for machine learning accelerators like Inferentia and Trainium. The role involves architecting and implementing verification strategies, leading technical direction, and mentoring team members using advanced simulation methodologies. | — | 0 |
| SoC Modeling & Simulation Sr. Manager, Annapurna Labs Machine Learning Accelerators, AWS This role is for a Sr. Manager to lead a team building functional and performance models of complex custom SoCs for AWS's machine learning accelerators. The focus is on chip development lifecycle, not AI model development itself. The manager will be hands-on, driving team execution and long-term modeling strategy, including expanding into performance modeling. No ML background is needed, but deep SoC modeling experience and technical leadership are critical. | — | 0 |
| Delivery Consultant, Security, Professional Services This role focuses on security, risk, and compliance consulting for cloud migrations, primarily on AWS. The consultant will provide architecture guidance, lead proof-of-concept projects, and conduct workshops to help customers and partners address their information security and regulatory compliance needs in large-scale computing environments. The role involves pre-sales support, solution design, and advisory services for implementing robust security solutions. | — | 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 |
| Data Quality Specialist - Dutch, AGI Data Services - G T Quality This role focuses on establishing and maintaining quality frameworks, defining metrics, creating prescriptive actions for quality issues, and managing feedback loops between operations and customers. It involves analyzing data trends, coaching operations teams, handling escalations, and improving quality tools and documentation. | — | 0 |
| Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs This role is for a Sr. ASIC Design Engineer focused on designing and optimizing hardware for AWS's machine learning servers, specifically custom SoCs like AWS Inferentia. The engineer will be responsible for integrating subsystems, implementing RTL, analyzing trade-offs for performance, power, and area, and ensuring design quality for high-performance, power-efficient chips used in ML inference. | — | 0 |
| Professional Services III - AMZ7156.16 This role focuses on architecting and implementing cloud infrastructure and automation, leveraging insights from machine learning to enhance security and compliance. It involves engaging with customers to provide architectural guidance, developing automation solutions with scripting languages, and collaborating with leadership to influence the AWS service roadmap. The role also includes creating reusable technical assets like reference architectures and best practice guides. | — | 0 |
| Systems Development Manager, Region Services Systems Development Manager for AWS Region Services in Australia, focusing on secure, scalable cloud environments. The role involves developing and deploying operational tools, managing teams, building and managing scaled services, troubleshooting customer issues, and tracking service health. Requires strong Linux and development tool familiarity, with an emphasis on security clearances and collaboration with product teams to design and deliver solutions. | — | 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 |
| Software Development Engineer, Amazon Fulfillment Technology (AFT), Platform Engineering and Services Software Development Engineer role focused on building large-scale, fault-tolerant distributed systems for optimizing fulfillment operations within Amazon's fulfillment centers. The role involves working with IoT environments, processing billions of signals daily, and integrating with technologies like material handling automation, machine vision, robotics, data analytics, and machine learning. | — | 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 |
| 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 |
| Risk Analyst, Account Integrity This role focuses on analyzing large datasets to detect anomalies, identify bad actor behaviors, and deploy rules to prevent fraudulent activity on Amazon's platform. It involves data analysis, root cause analysis, and collaboration with product managers, scientists, and engineers, but the core function is rule-based analysis and not direct AI/ML model development. | — | 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 |
| Technical Account Manager, ES - WWPS This role is for a Technical Account Manager (TAM) within AWS Global Services. The TAM acts as a principal technical advisor to enterprise customers, helping them design, build, and operate solutions on AWS. While the role involves understanding and guiding customers on the use of various AWS services, including Generative AI, it is not a hands-on AI/ML development or research role. The focus is on customer success, strategic guidance, and ensuring customers gain maximum value from AWS services. | — | 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 |